Application Modernization | Applied AI Consulting

Streamlining Large Volumes of Data for Campaign Management with Security

Mon, 23 Sep 2024 09:27:34 +0000

Streamlining Large Volumes of Data for Campaign Management with Security

Optimizing Data Flow and Ensuring Robust Security for Effective Campaign Execution

Company Overview

DemandScience is a data-driven marketing technology company focused on lead generation and campaign management. The company faced the challenge of integrating and processing large volumes of data exported from a third-party system, with the need for efficient handling, security, and real-time error notifications.

Issue

Multiple files with up to 20 columns required proper conversion and ingestion.

Large XLSX files needed conversion to CSV for further processing.

A fully automated pipeline was necessary to handle file ingestion, processing, and error notifications in real-time.

Data security and lifecycle management were essential for compliance and storage cost optimization.

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AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Actions Taken

S3 Bucket Setup: Created secure storage with lifecycle management to handle data from third-party systems. This reduced manual intervention and optimized costs.

Lambda Automation: Automated file conversion and transfer, ensuring smooth processing of large datasets with real-time error logging.

Snowflake Integration: Ingested and processed data with automated tasks for duplication management, ensuring accurate campaign and lead tracking.

Error Handling & Notifications: Real-time email alerts for file ingestion failures and task errors, ensuring quick resolution.

PowerBI Dashboards: Enabled detailed, real-time reporting and insights through structured data in Snowflake.

Solution

Efficient Data Processing

Automated workflows process large data files without delays. Enhanced Security: Strong encryption and access controls ensure data protection.

Cost Savings

Optimized storage with lifecycle policies reduced long-term costs. Improved. Data Quality: Upsert scripts and hash functions minimized data duplication, ensuring consistency.

Scalability

Scalable solution that grows with increasing data volumes. Advanced Reporting: PowerBI dashboards offered real-time, actionable insights.

Impact

Cost Reduction:

Automation and optimized storage reduced operational expenses.

Advanced Analytics:

PowerBI integration enabled real-time, data-driven decisions.

Proactive Error Management:

Real-time notifications reduced downtime, ensuring continuity.

Customer Testimonials

AAIC's solution has revolutionized our data processing capabilities. The automation, combined with robust error handling and real-time notifications, ensures that our data is always accurate and available when we need it. The integration with PowerBI has empowered us with unparalleled insights into our campaigns and leads, driving better business decisions.
DemandScience

Automating AWS Architecture for a Leading Telecommunication Company Using Terraform and Ansible

Fri, 23 Aug 2024 18:17:10 +0000

Automating AWS Architecture for a Leading Telecommunication Company Using Terraform and Ansible

Automated AWS infrastructure provisioning and management, ensuring compliance, security, and scalability while reducing deployment times and human errors through CI/CD pipelines to support business growth.

Company Overview

A leading telecommunication company, this organization provides a wide range of services including mobile, broadband, and TV services. Known for its extensive network coverage and innovative solutions, the company serves millions of customers globally, ensuring reliable and high-quality communication services. The company continually invests in technology to enhance service delivery and customer experience.

Issue

Automating the provisioning and management of AWS infrastructure.

Ensuring compliance and security across the AWS environment.

Reducing manual intervention and minimizing human errors in infrastructure management.

Enhancing scalability and reliability of the cloud infrastructure.

Let’s discuss your use cases

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Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Implemented Infrastructure-as-Code (IaC) with Terraform for automated AWS resource provisioning and management, alongside Ansible for consistent configuration and compliance across environments.

Set up automated CI/CD pipelines to streamline infrastructure deployments, minimizing manual intervention and accelerating deployment times.

Integrated AWS CloudTrail, AWS Config, and CloudWatch for continuous compliance, security monitoring, and automated alerting.

Impact

Automated Infrastructure Provisioning

Successfully automated AWS resource provisioning and management, ensuring a streamlined infrastructure process.

Compliance and Security

Achieved robust compliance and security across the AWS environment with minimal manual oversight.

Optimized Deployment Pipelines

Reduced deployment times and minimized human errors through fully automated CI/CD pipelines, enhancing scalability and reliability.

Customer Testimonials

Applied AI Consulting's expertise in Terraform and Ansible has been pivotal in automating our AWS infrastructure. Their solutions have significantly reduced manual intervention and minimized human errors, leading to a more secure and compliant environment.
Head of Engineering Leading Telecommunication Company

A Leading Insurance MNC Saves Costs with Infrastructure-as-Code Facilitated by AWS CloudFormation

Fri, 23 Aug 2024 18:01:56 +0000

A Leading Insurance MNC Saves Costs with Infrastructure-as-Code Facilitated by AWS CloudFormation

Reduced app deployment time from weeks to hours, achieved significant cost savings, and enhanced infrastructure flexibility and scalability using AWS CloudFormation and containerization.

Company Overview

A leading company in the insurance sector, this organization provides a comprehensive range of life insurance products, including individual and group insurance plans. With a strong focus on customer-centric solutions, the company offers protection, savings, pension, investment, health, and annuity products. Known for its innovative approach and commitment to quality, the company serves millions of customers, ensuring their financial security and peace of mind.

Issue

The customer was manually deploying apps, taking 5 to 6 weeks, slowing down the software development lifecycle (SDL).

Increasing costs due to lack of containerization, leading to inefficiencies in transitioning app environments from testing to development to production.

Manual IT infrastructure management was exhausting and time-consuming, leading to increased technical debt and slower development cycles.

Let’s discuss your use cases

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What Is an AI Maturity Model?

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AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Option Evaluation and Decision: Presented the client with two infrastructure provisioning and deployment options: Terraform and Helm or AWS CloudFormation. The client selected AWS CloudFormation due to team familiarity and future flexibility for modifications.

Containerization and DevOps Pipeline Implementation: Implemented containerization for a portable computing environment with VMs, and developed a DevOps pipeline to automate testing, integration, and deployment. This shortened the software development lifecycle (SDL) and enhanced collaboration between development and operations teams.

Legacy IT Infrastructure Modernization: Codified and managed the client’s legacy IT infrastructure using AWS CloudFormation, providing a robust Infrastructure-as-Code (IaC) solution.

Impact

Email Optimization

Accelerated Deployment: Reduced application deployment time from 5-6 weeks to just a few hours.

Productivity Boost

Cost Savings and Efficiency: Achieved significant cost savings through containerization and automated infrastructure management, and improved SDL efficiency with a robust DevOps pipeline, leading to faster, high-quality app releases.

Scalable Infrastructure

Enhanced Infrastructure Management: Improved flexibility and scalability of IT infrastructure with AWS CloudFormation.

Customer Testimonials

Thanks to Applied AI Consulting, our IT infrastructure is now more flexible and scalable, supporting our growth and innovation goals. Their deep knowledge of AWS CloudFormation and Infrastructure-as-Code has truly elevated our operational capabilities.
Head of Engineering Leading Insurance MNC

Accelerating Integration with a Robust API Platform: How a Leading Automation Provider Transformed Their Processes Using AWS Services

Fri, 23 Aug 2024 16:28:07 +0000

Accelerating Integration with a Robust API Platform: How a Leading Automation Provider Transformed Their Processes Using AWS Services

Streamlining Operations: Leveraging AWS to Enhance Automation Through a Powerful API Platform

Company Overview

A leading company in the automation platform domain, this organization provides innovative solutions for enterprise automation, including digital transformation, process improvement, and growth strategies. Their platform addresses complex challenges such as information access, approval processes, high transaction volumes, and compliance issues. The company’s integrated payment solutions and process automation tools are revolutionizing enterprises by making operations more efficient and streamlined.

Issue

Time-Consuming Integrations: Building and maintaining point-to-point integrations for each client was resource-intensive and inefficient.

Lengthy Integration Process: Integrating with third-party ERPs and payment systems took 8-12 weeks per client, delaying project timelines.

Limited Scalability: The existing process constrained the ability to serve multiple clients simultaneously, limiting growth.

Need for a Scalable Solution: A scalable, reusable integration framework was required to streamline and accelerate the onboarding process for new clients.

Let’s discuss your use cases

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What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

API-Based Integration Gateway: Implemented a robust API-based Integration Gateway using AWS services like Amazon API Gateway, AWS Lambda, and others to streamline integrations.

Custom Solution Architecture: Designed a four-component architecture (Flow, Filter, Transformer, Adopter) to efficiently manage and transform inputs for various ERP systems, enhancing compatibility and flexibility.

Automated CI/CD Pipelines: Established automated CI/CD pipelines to ensure continuous integration and deployment, minimizing manual intervention and enhancing system reliability.

Impact

Accelerated Time-to-Market & Customer Onboarding

Significantly improved the accuracy and efficiency of email content classification and follow-ups. Reduced integration and deployment times by 80%, enabling faster rollout of new features and rapid onboarding of new clients in under a week.

Operational Efficiency & Cost Savings

Automated over 30 tasks and implemented a reusable integration framework, leading to a 60% increase in efficiency and a 40% reduction in operational costs.

Scalability & Enhanced User Experience

Scalable architecture supported increased workloads and customer demands, while a simplified, user-friendly interface improved client satisfaction and expanded customer capacity by 80%.

Customer Testimonials

The API platform developed by Applied AI Consulting has been a game-changer for us. It has significantly reduced manual efforts and errors, enabling us to onboard 80% more customers with ease. Their work has truly elevated our capabilities.
CTO 7Targets.ai

Accelerating Private Sector Bank’s App Releases with AWS and DevOps Expertise by Applied AI Consulting

Fri, 23 Aug 2024 16:15:05 +0000

Accelerating Private Sector Bank’s App Releases with AWS and DevOps Expertise by Applied AI Consulting

Streamlining Development and Deployment Pipelines for Faster, Secure, and Scalable Banking Solutions

Company Overview

One of the leading private sector banks in India, this financial institution provides a wide array of services including retail banking, corporate banking, and wealth management. With a commitment to customer-centric innovation, the bank offers an extensive range of products such as savings accounts, loans, fixed deposits, and credit cards. The bank serves millions of customers across the country through its extensive network of branches and digital banking platforms. Known for its robust infrastructure and innovative solutions, the bank continuously strives to enhance customer experience and operational efficiency.

Issue

Slow App Release Cycle: The bank struggled to release apps quickly, hindered by the manual management of its IT infrastructure.

Legacy System Bottlenecks: Outdated infrastructure caused extended software development cycles and made it difficult to maintain high app quality.

Inefficient IT Management: The centralized, manually operated IT infrastructure was not only time-consuming but also prone to errors and costly to maintain.

Technical Debt: The accumulation of technical debt due to outdated coding practices stifled innovation and reduced the bank’s ability to be agile.

Let’s discuss your use cases

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Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

CI/CD Pipelines: Enabled faster and more reliable deployments by automating the software release process.

Infrastructure-as-Code: Utilized Terraform to streamline deployment speed, cut costs, and reduce errors through automated infrastructure management.

App Containerization: Enhanced scalability and security, accelerating the time to market and improving overall application performance.

Impact

Faster App Releases

Implementing CI/CD pipelines reduced the app release cycle time by 40%, allowing the bank to quickly roll out new features and updates to meet customer demands.

Enhanced Reliability and Security

By employing Infrastructure-as-Code with Terraform and app containerization with AWS ECS, the bank achieved a 99.9% uptime, reducing the risk of downtime and data breaches.

Cost Efficiency

Automation of manual processes and reduced technical debt led to a 30% decrease in operational costs, allowing the bank to allocate resources more effectively.

Customer Testimonials

The collaboration with Applied AI Consulting has revolutionized our approach to infrastructure management. Their strategic implementation of CI/CD and containerization has drastically improved our time-to-market, while also reducing technical debt. The automation of our infrastructure has led to unprecedented levels of efficiency and reliability. This partnership has been crucial in our journey towards a more agile and innovative banking platform.
VP of Engineering Leading Private Sector Bank

Enhancing Deployment Success with Python Selenium Automation for a Leading Content Marketing Platform

Fri, 23 Aug 2024 15:50:57 +0000

Enhancing Deployment Success with Python Selenium Automation for a Leading Content Marketing Platform

Company Overview

A leading company in the content marketing domain, this organization helps brands and their customers connect through high-quality, relevant content. The platform enables companies to produce and disseminate their own content, improving customer acquisition, building brand loyalty, and sustaining interest in their offerings. Known for its innovative approach and commitment to quality, the company serves a diverse clientele, including top brands and enterprises, ensuring their content marketing strategies are effective and impactful.

Issue

Ensuring consistent and reliable deployments across multiple environments.

Reducing manual testing efforts and increasing the efficiency of the QA process.

Automating repetitive tasks to free up resources for more strategic activities.

Enhancing the overall quality and performance of their content marketing platform.

Let’s discuss your use cases

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Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Streamlined UI testingby implementing Python Selenium for automation, enhancing efficiency and reducing manual testing efforts.**

Developed automated test scriptsto validate critical functionalities across various environments, ensuring consistent performance.

Integrated automation with CI/CD pipelines** for continuous testing and deployment, along with providing training and documentation for seamless adoption by development and QA teams.

Impact

Increase in Deployment Success

Significantly reduced failed deployments and rollbacks, enhancing reliability in the deployment process.

Reduction in Manual Testing

Freed up the QA team to focus on complex tasks, driving efficiency and strategic improvements.

Enhanced Quality and Customer Satisfaction

Improved platform performance and reliability, supporting faster, more dependable releases aligned with company growth and innovation goals.

Customer Testimonials

Applied AI Consulting’s mastery in Python Selenium automation was a game-changer for us. Their ability to integrate seamlessly with our CI/CD pipeline drastically improved our deployment success rate by 50%, while cutting down manual testing by 70%. Their innovative approach and commitment to excellence have significantly elevated our platform's performance, enabling us to deliver faster and more reliable releases.
CTO marxeed.com

Facilitating DevOps with Application Modernization & Architecture Reboot for a Leading Content Marketing Platform

Fri, 23 Aug 2024 15:29:44 +0000

Facilitating DevOps with Application Modernization & Architecture Reboot for a Leading Content Marketing Platform

Boosting Deployment Efficiency, Scalability, and Cost Savings While Enhancing Security

Company Overview

A leading company in the content marketing domain, this organization helps brands and their customers connect through high quality, relevant content. The platform enables companies to produce and disseminate their own content, improving customer acquisition, building brand loyalty, and sustaining interest in their offerings. The company also owns a marketing analytics software that helps marketers compute ROI and improve outcomes across integrated digital and social channels.

Issue

Need for migration and modernization to handle peak load efficiently

Challenges in deployment, maintenance and support existing applications

Need a revamp existing infrastructure to enable automation and DevOps, supporting continuous upgrades

Let’s discuss your use cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Contact Sales

Similar Use Cases

Solution

Containerization and Orchestration: Containerized applications with Docker and deployed them in Kubernetes (K8s) for enhanced management, scalability, and resilience.

Automated Deployment and Testing: Used GitHub Actions for CI/CD automation, AWS CloudFormation for Infrastructure as Code, and Selenium and OWASP for automated and security testing.

Monitoring, Alerts and Cost Optimization: Implemented CloudWatch for monitoring and alerts, integrated GitHub and Slack for CI/CD notifications, and utilized AWS Lambda for efficient resource management and cost savings.

Impact

Scalability and Performance

Containerization and auto-scaling enabled seamless handling of increased traffic, significantly improving peak load management.

Deployment Efficiency

Automated CI/CD pipelines reduced deployment time from several hours to minutes, streamlining release cycles and minimizing downtime.

Cost Optimization

Enhanced scalability, reliability, and security of applications, achieving significant cost savings through resource optimization.

Customer Testimonials

Applied AI Consulting transformed our platform with modernized IT infrastructure and DevOps practices. Their expertise improved our deployment speed, scalability, and security, significantly reducing costs and boosting our ability to connect with customers. They've been an invaluable partner in our digital transformation.
Head of Marketing Marxeed

Building a Hybrid Payment Platform from Scratch on AWS Stack

Fri, 23 Aug 2024 11:18:02 +0000

Building a Hybrid Payment Platform from Scratch on AWS Stack

Company Overview

A leading company in the payment processing industry, this organization specializes in providing secure and efficient payment solutions for businesses of all sizes. Known for its innovative approach, the company offers a comprehensive range of services, including online payment gateways, mobile payments, and point-of-sale systems. With a focus on reliability and customer satisfaction, the company serves a diverse clientele, ensuring seamless and secure transactions.

Issue

Ensuring the platform could scale to handle increasing transaction volumes.

Implementing robust security measures to protect sensitive payment data.

Integrating with multiple payment gateways and financial institutions, like Stripe, Plaid etc.

Maintaining high availability and reliability.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Architected a hybrid payment platform on AWS ECSwith auto-scaling capabilities to manage fluctuating transaction volumes efficiently, leveraging AWS Lambda and AWS Fargate for serverless operations to minimize operational overhead.

Implemented robust security measuresutilizing AWS IAM for access control and encryption for data protection both at rest and in transit, ensuring compliance and safeguarding sensitive financial information.

Integrated multiple payment gateways and financial institutions via APIs and established CI/CD pipelines to automate updates and maintenance, ensuring seamless and efficient deployment processes.

Impact

Scalable and Secure hybrid payment

Ensured reliable transaction processing with high availability and minimal downtime.

Security Measures

Safeguarded sensitive payment data, maintaining robust protection against potential threats.

Streamlined operations

Through CI/CD pipelines, leading to more efficient and continuous delivery of updates.

Revolutionizing Marketing Campaign Analysis with Generative AI for a Leading Financial Services Engagement Platform

Thu, 22 Aug 2024 16:09:56 +0000

Revolutionizing Marketing Campaign Analysis with Generative AI for a Leading Financial Services Engagement Platform

Leveraging Generative AI to Transform Data Insights and Optimize Marketing Strategies for Enhanced Engagement and Performance

Company Overview

A leading company in the financial services engagement platform domain, this organization provides innovative solutions for enhancing customer experiences. Their platform enables financial institutions to design, execute, and analyze marketing campaigns, ensuring high-quality interactions and impactful outcomes. Known for their cutting-edge technology, the company serves a diverse clientele, helping financial services businesses achieve their marketing goals.

Issue

Difficulty in analyzing large volumes of campaign data efficiently.

Challenges in navigating and synthesizing numerous data points, tables, reports, and dashboards to evaluate campaign performance.

The traditional data analysis process was cumbersome and time-consuming, requiring significant manual effort to extract relevant insights.

The absence of natural language query capabilities hindered the ability to quickly access and interpret data, tables, graphs, and charts.

Let’s discuss your use cases

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Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Generative AI-Based Solution: Developed a cohort analysis tool powered by Generative AI to better analyze campaign data.

Natural Language Processing Integration: Implemented NLP to enable marketing teams to query data using natural language, simplifying data retrieval.

Real-Time Data Integration: Integrated the solution with existing data sources to provide accurate, real-time responses and a user-friendly dashboard with various data visualization formats.

Impact

Accelerated Decision-Making

Integration with Generative AI and NLP significantly reduced the time needed to obtain actionable insights, enabling faster and more informed decision-making for campaign adjustments.

Cost and Efficiency Gains

Automation of data analysis and the user-friendly interface cut operational costs and improved efficiency, reducing manual effort and allowing the marketing team to concentrate on strategic initiatives.

Enhanced Campaign Effectiveness

Access to real-time, accurate data and advanced insights led to improved campaign performance, higher productivity, and better overall results, setting the platform apart from competitors.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Driving Quality and Reliability for Modern Mobile and Web Applications

Wed, 21 Aug 2024 15:26:41 +0000

Driving Quality and Reliability for Modern Mobile and Web Applications

Building a Modern Mobile and Web Application with Robust CI/CD Automation and AI-Powered Multi-Device Testing

Company Overview

A leading start-up in the online consulting platform domain, this company focuses on connecting end-users with top industry professionals for expert consultation services. Known for its innovative approach and cutting-edge technology, the company aims to provide seamless and efficient solutions for both consultants and clients, ensuring high-quality interactions and problem-solving experiences. Applied AI Consulting has created the modern stack with payment gateway integration for this customer. This case study is focused on quality engineering.

Issue

Cross-Platform Compatibility: Building a modern application that supports both mobile and web platforms can introduce challenges in ensuring consistent functionality and user experience.

Testing Coverage: Ensuring thorough and reliable UI and API testing to cover all possible use cases and scenarios, which is crucial for maintaining application quality and reliability.

Automation Integration: Integrating automation testing into the CI/CD pipeline effectively, ensuring that automated tests run seamlessly with each deployment to catch issues early.

Performance and Reliability: Maintaining high performance and reliability of the application across multiple platforms and under varying load conditions.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Developed and Integrated Automation Frameworks: Created a Selenium-Python-based framework for UI testing and a pyTest framework for API testing, integrating them with the CI/CD pipeline.

Executed Cross-Platform Testing: Utilized aiTest for automation across multiple devices, browsers, and versions, including API quality validation with Postman collections.

Enhanced Communication and Visibility: Provided test execution updates and analytics through Slack and email, and demonstrated automation results in end-of-iteration demos.

Impact

Enhanced Quality and User Experience

Achieved very high application quality with minimal defects and ensured a seamless user experience across devices and browsers.

Accelerated Release Cycles

Reduced testing time by 40% through CI/CD integration and automation, leading to faster feature releases and updates.

Cost Savings and Performance Improvement

Decreased testing-related costs by 30% and improved application performance, contributing to higher user retention and scalable growth.

Customer Testimonials

Applied AI Consulting has been instrumental in driving the quality and reliability of our mobile and web applications. Their expertise in building a modern stack with seamless payment gateway integration has allowed us to provide our users with a smooth and efficient experience. The team's commitment to excellence and their innovative approach have significantly enhanced our platform's performance, ensuring we meet the high standards our clients expect.
Founder Click to Connect

Reduced Operational Cost by 70%: Migrating from Rundeck to AWS Batch for a Leading Content Marketing Platform

Wed, 21 Aug 2024 15:01:07 +0000

Reduced Operational Cost by 70%: Migrating from Rundeck to AWS Batch for a Leading Content Marketing Platform

Transforming Cost Efficiency: How Migrating to AWS Batch Slashed Operational Costs by 70% for a Content Marketing Leader

Company Overview

Issue

High Operational Costs: Elevated costs associated with using Rundeck for batch processing.

Need for Scalability: Requirement for a more scalable and efficient solution to manage growing workloads.

Migration Disruption: Ensuring minimal disruption during the transition from Rundeck to the new solution.

Performance Enhancement: Improving the overall performance and reliability of batch processing operations.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Migration to AWS Batch Movedbatch processing operations from Rundeck to AWS Batch, leveraging AWS’s scalable infrastructure for enhanced performance and efficiency.**

Automation & Orchestration **Implemented AWS Lambda for job management and AWS Step Functions for orchestrating complex workflows and managing job dependencies.

Monitoring & Transition Utilized AWS CloudWatch for monitoring and alerting, ensuring smooth operations and a seamless transition with minimal downtime through meticulous planning.

Impact

Cost Savings & Efficiency

Migrating to AWS Batch reduced operational costs by 70%and automated batch processing, cutting job execution time by40%

Scalability & Reliability

Leveraged AWS Batch’s scalable architecture to efficiently handle increased workloads, supporting effective business growth

Resource Optimization

Reduced manual intervention and improved operational efficiency, enabling better allocation of resources to strategic initiatives.

Ensuring Performance and Scalability for Demand Generation Tech with Advanced Automation Testing

Wed, 21 Aug 2024 14:37:36 +0000

Ensuring Performance and Scalability for Demand Generation Tech with Advanced Automation Testing

Company Overview

A leading company in the demand generation technology sector, this organization provides data-driven marketing solutions to help businesses drive revenue growth. With a comprehensive suite of services, including lead generation, data management, and analytics, the company supports its clients in enhancing their marketing effectiveness. Known for its innovative approach and robust technology infrastructure, the company continuously seeks to improve its product offerings and operational efficiency.

Issue

Create a TestNG Maven framework for UI automation and RestAssured for API automation.

Perform functional UI and API automation and performance testing (load testing) to support 25,000 concurrent users on API calls and 5,000 concurrent users on UI with 30 million plus records in the database.

Integrate automation with the CI/CD pipeline.

Maintaining high availability and reliability.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Accelerated multi-browser testing and load testingby leveraging AAIC’s aiTest, ensuring comprehensive UI and backend performance validation.**

Developed a robust TestNG Maven frameworkwith Selenium and Java for UI automation, and RestAssured for API automation, enabling efficient and scalable testing.

Drastically reduced build qualification time** by implementing parallel test runs, cutting UI test time to 9 minutes and API test time to just 2-3 minutes.

Impact

Comprehensive Framework

Led by a QA lead, AAIC’s 5-member QA team architected and implemented a robust testing framework, covering functional UI and API automation, and enabling large-scale load testing.

High-Scale Load Testing

Successfully conducted load tests for 25,000 concurrent API users and 5,000 concurrent UI users, with a database of over 30 million records, ensuring the application’s performance and scalability under heavy load.

Seamless CI/CD Integration

Integrated automation with the CI/CD pipeline, enabling rapid and efficient build qualification tests, boosting confidence in the application’s readiness for deployment.

Mitigating Vulnerabilities for a Leading Construction Logistics Platform

Wed, 21 Aug 2024 14:36:38 +0000

Mitigating Vulnerabilities for a Leading Construction Logistics Platform

Mitigated vulnerabilities, enhanced platform security with robust monitoring, and ensured minimal disruption during the process to maintain business continuity.

Company Overview

A leading company in the construction logistics domain, this organization provides innovative solutions to streamline trucking operations. Their platform connects contractors, fleet owners, and material producers, facilitating efficient scheduling, dispatching, and tracking of construction materials. Known for its robust technology and customer-centric approach, the company aims to enhance productivity and reduce operational costs in the construction industry.

Issue

Immediate need to address the critical Log4j vulnerabilities in their systems.

Ensuring minimal disruption to ongoing operations while mitigating the vulnerabilities.

Enhancing the security posture of their platform to prevent future vulnerabilities.

Implementing a comprehensive monitoring and alerting system to detect and respond to security threats promptly.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Option Evaluation and Decision: Presented the client with two infrastructure provisioning and deployment options: Terraform and Helm or AWS CloudFormation.

Containerization and DevOps Pipeline Implementation: containerization for a portable computing environment with VMs, and developed a DevOps pipeline to automate testing, integration, and deployment.

Legacy IT Infrastructure Modernization: Codified and managed the client’s legacy IT infrastructure using AWS CloudFormation, providing a robust Infrastructure-as-Code (IaC) solution.

Impact

Faster Threat Response

Reduced threat detection and response times by 50% through real-time monitoring and automated remediation

Enhanced Security and Compliance

Improved overall security and ensured compliance with industry standards, addressing Log4j vulnerabilities.

Operational Resilience and Cost Savings

Maintained business continuity with minimal disruption and reduced the risk of future vulnerabilities, potentially saving up to 40% in remediation costs.

Customer Testimonials

AAIC has been fantastic to work with. They're proactive and always spot opportunities for improvement. Their attention to detail and commitment to excellence make our collaboration truly rewarding.
Eric Johnson, Director, DevOps truxnow.com

Building a Comprehensive Online Consulting Platform with Payment Integration for a Leading Start Up

Wed, 21 Aug 2024 12:48:08 +0000

Building a Comprehensive Online Consulting Platform with Payment Integration for a Leading Start-Up

Enhancing User Experience with Secure Payments, Real-Time Notifications, and Automated Deployments

Company Overview

Issue

Ensuring high availability and scalability of the mobile and web applications.

Integrating a reliable and secure payment gateway.

Automating the deployment processes to reduce downtime and improve efficiency.

Maintaining high performance and user experience during peak loads.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Successfully deployed the ClickToConsult mobile application on both the App Store and Play Store, leveraging Firebase for push notifications and AWS Lambda for backend processes, ensuring scalability and cost efficiency.

Implemented a robust web-based interface for managing administrative activities, with integrated Razorpay payment gateway for secure transactions, providing a seamless experience for users and administrators.

Set up CI/CD pipelines for automated deployments across the mobile and web platforms, minimizing downtime and facilitating smooth, efficient updates.

Impact

Launch of a Scalable Consulting Platform

Successfully launched a scalable and high-performing online consulting platform, ensuring seamless interactions and enhanced user experience.

Secure Payments and User Trust

Integrated a secure and reliable payment gateway, boosting user trust and satisfaction through secure transactions.

Cost Efficiency with Serverless Architecture

Achieved significant cost savings and operational efficiency by utilizing serverless architecture and automated deployments.

Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS

Tue, 20 Aug 2024 17:16:35 +0000

Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS

Seamless Azure to AWS Transition Enhancing DevOps and Infrastructure Modernization

Company Overview

Zykrr is a leading platform that provides real-time visibility, insights, and control over customer interactions across various channels such as SMS, WhatsApp, QR codes, email, kiosks, websites, and in-app communications. Their AI/ML-enabled platform delivers actionable insights and real-time visibility, enhancing customer and employee interactions. With a focus on automating critical customer experience management functions, Zykrr aims to deliver exceptional customer experiences and predict future actions based on sentiment analysis.

Issue

Migration & Modernization: Recreating the existing Azure setup on AWS while maintaining functionality and architecture.

Infrastructure Setup: Building and deploying a new application infrastructure on AWS, adhering to specified requirements and timelines.

Maintenance & Support: Reducing the efforts associated with deploying, maintaining, and supporting applications by leveraging AWS services.

Optimized Infrastructure: Achieving a robust, scalable, and secure AWS infrastructure.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Infrastructure Setup: Built Zykrr’s AWS infrastructure using S3 for scalable storage, EKS for managed Kubernetes, and RDS for PostgreSQL.

Application Deployment: Deployed React front-end on AWS CloudFront and S3, back-end microservices on EKS with Helm charts, and configured PostgreSQL and Redis on RDS and Elasticache.

Security & Performance: Secured infrastructure with network measures, API Gateway, and Application Load Balancer; ensured high availability and fault tolerance through multi-AZ deployments and CDN acceleration.

Impact

Successful Migration

Achieved a seamless migration from Azure to AWS with all functionalities intact.

Enhanced Deployment Efficiency

Streamlined deployment processes with AWS services, reducing operational overhead.

Enhanced Scalability, Reliability, & Cost Efficiency

Leveraged AWS’s scalability features for effective peak load management and high availability while implementing resource optimization strategies to achieve cost savings and efficient resource management.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Enhancing Sales Efficiency with an AI Sales Assistant through Advanced AWS Solutions

Tue, 20 Aug 2024 16:27:27 +0000

Enhancing Sales Efficiency with an AI Sales Assistant through Advanced AWS Solutions

From Scalability to Reliability: Enhancing Email Management and Deployment Efficiency

Company Overview

A leading company in the sales technology sector, this organization focuses on improving sales efficiency and productivity using its patented AI-based lead nurturing solution. The company’s AI Sales Assistant utilizes natural language processing (NLP) and machine learning (ML) models to ensure no lead is lost and to enhance overall sales performance. The AI Sales Assistant is designed to write, send, receive, and read emails, classifying them to take appropriate follow-up actions.

Issue

Need for Scalable infrastructure to manage a tenfold increase in daily email volume.

Requirement for Precise Email categorization and entity extraction to enhance data accuracy and processing.

Necessity to handle bounced and complaint email responses effectively to maintain communication integrity.

Urgency to Automate deployment processes to ensure continuous availability in QA and production environments.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Automated Lead Processing: Developed state machines using AWS Step Functions and Lambda for seamless lead processing and email response categorization.

Enhanced Email Validation: Implemented email validation using Debounce and Zero Bounce APIs, ensuring accuracy in the initial lead processing steps.

Integrated & Scalable Deployment: Configured AWS services for automated, zero-downtime deployments and integrated the solution with third-party CRMs like Hubspot and Pipedrive.

Impact

Scaled Email Operations

Expanded email sending capacity from 1,000 to 10,000 emails per day, meeting growing demands efficiently.

Enhanced Email Processing

Improved accuracy in processing and categorizing email responses, ensuring precise follow-up actions.

Achieved System Reliability

Implemented automated, zero-downtime deployments, ensuring high system reliability and availability.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Enhancing Genomic Cancer Diagnosis Reports for a Leading Precision Medicine Company

Tue, 20 Aug 2024 16:05:48 +0000

Enhancing Genomic Cancer Diagnosis Reports for a Leading Precision Medicine Company

Faster decisions, better usability, efficient reporting, and increased engagement with genomic data

Company Overview

A leading company in the precision medicine domain, this organization specializes in genomic analysis and diagnostics to improve patient outcomes. Their platform leverages advanced technologies to provide actionable insights for personalized treatment plans, focusing on oncology, rare, and hereditary diseases.

Issue

The need to create user-friendly, detailed, and accurate genomic cancer diagnosis reports.

Ensuring the reports are easily interpretable by healthcare providers, aiding in swift and precise treatment decisions.

Integrating complex genomic data into a coherent and accessible format.

Maintaining high standards of data security and compliance.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Conducted User Research: Gained insights into the needs of healthcare providers and patients.

Developed Streamlined UX: Created a user-friendly design for genomic reports based on professional feedback and advanced data visualization.

Ensured Compliance: Adhered to industry standards for data security and regulatory compliance.

Impact

Enhanced User Satisfaction

Simplified genomic report interpretation for improved user experience.

Boosted Decision-Making

Enabled healthcare providers to make faster, more informed treatment decisions.

Increased Engagement

Fostered greater trust and engagement from healthcare providers and patients through streamlined reporting.

Driving Quality and Reliability for Modern Mobile and Web Applications: A Case Study for a Leading Online Consulting Platform

Tue, 20 Aug 2024 15:53:13 +0000

Driving Quality and Reliability for Modern Mobile and Web Applications: A Case Study for a Leading Online Consulting Platform

Developed a modern app with mobile and web support, integrated automated testing using Selenium, pyTest, and aiTest, and validated API quality with Postman for consistent, reliable results.

Company Overview

A leading start-up in the online consulting platform domain, this company focuses on connecting end-users with top industry professionals for expert consultation services. Known for its innovative approach and cutting-edge technology, the company aims to provide seamless and efficient solutions for both consultants and clients, ensuring high-quality interactions and problem-solving experiences. Applied AI Consulting created the modern stack with payment gateway integration for this customer, emphasizing quality engineering to ensure reliability and performance.

Issue

Building a modern application with mobile and web support for their consulting platform.

Ensuring application reliability and quality through comprehensive UI and API testing.

Integrating automation testing into the CI/CD pipeline to streamline releases and improve efficiency.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Agile Collaboration and Automation Framework Development: Collaborated closely with the development team in an agile environment to create test cases and architect a selenium-python-based UI automation framework and a pyTest-based API automation framework.

Advanced Testing with aiTest and CI/CD Integration: Utilized aiTest for executing automated tests across various devices and browsers, integrated with CI/CD pipelines to ensure consistent testing across QA, pre-prod, and prod environments, and validated API quality using Postman.

Real-Time Communication and Iteration Demos: Provided real-time updates on test execution and analytics via Slack and email, and conducted end-of-iteration demos to showcase automation progress and results.

Impact

Email Optimization

Modern App Development with Automation Integration: Successfully built a modern application supporting both mobile and web platforms, integrating an automation suite into the CI/CD pipeline for consistent and reliable testing.

Productivity Boost

Robust Testing Frameworks: Developed a selenium-python-based UI automation framework and a pyTest framework for API automation, ensuring comprehensive and dependable test coverage.

Scalable Infrastructure

Cross-Platform Testing and API Validation: Leveraged aiTest for automated testing across multiple devices and browsers, and integrated Postman for API quality validation and scalable testing.

Customer Testimonials

Applied AI Consulting has been instrumental in transforming our development and deployment processes. Their innovative approach to integrating automation into our CI/CD pipeline has allowed us to scale efficiently while maintaining top-tier application reliability. The cost savings and operational efficiency gains we've experienced have been profound, enabling us to focus more on strategic growth. Their ability to seamlessly blend technical expertise with a deep understanding of our business needs has made them an invaluable partner.
VP of Engineering

Capital Market Platform Journey to Enhanced Scalability and Efficiency

Tue, 20 Aug 2024 15:27:41 +0000

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Seamlessly Modernizing and Scaling a Capital Market Platform on AWS with Enhanced Monitoring and Collaboration

Company Overview

A leading financial services company focused on global emerging markets, this organization delivers up-to-date market insights from major financial centers to local investors. Known for its intelligence-driven approach, the company provides valuable information to help investors navigate diverse market conditions effectively. The company is committed to leveraging advanced technologies to enhance its services and maintain a competitive edge in the financial sector.

Issue

Migrating and modernizing the content management application to AWS.

Implementing AWS cloud operations and DevOps for continuous integrations and deployments.

Enhancing scalability and reliability of the applications.

Setting up efficient monitoring and operations dashboards.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Containerized and Scalable Deployment: Containerized the EMFI application using AWS ECS Fargate and set up an ALB for traffic distribution and auto-scaling.

Automated CI/CD and Infrastructure Management: Implemented CI/CD pipelines, automated environment deployments with ASG, and managed AWS services using Terraform.

Enhanced Monitoring and Migration: Established a Datadog dashboard for monitoring and facilitated migration from private GitLab to public GitHub.

Impact

Cloud Migration and Modernization

Successfully migrated the content management application to AWS, modernizing its infrastructure.

Scalability and Reliability

Achieved high scalability and reliability through containerization and automated deployments.

Improved Monitoring and Collaboration

Enhanced system visibility with Datadog and streamlined version control by migrating to GitHub.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

Boosting Marketing Campaigns with AI: Enhancing Deployment Pipelines for a Leading AI Powered Recommendation Engine

Tue, 20 Aug 2024 15:23:08 +0000

Boosting Marketing Campaigns with AI: Enhancing Deployment Pipelines for a Leading AI Powered Recommendation Engine

Enhanced release speed, automated processes, scaled performance, and improved issue resolution.

Company Overview

A leading product in AIdriven marketing solutions, this product provides innovative tools to help marketers plan campaign content and generate marketing collateral based on campaign keywords. The company’s product, Marxeed, leverages Generative AI to deliver personalized recommendations and automate content creation, significantly enhancing marketing efficiency and effectiveness.

Issue

Ensuring the deployment of new features without disrupting ongoing operations.

Improving the maturity of deployment pipelines to support frequent and reliable releases.

Maintaining high performance and scalability to handle increasing user demand.

Automating the testing and deployment processes to reduce manual intervention and errors.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Implemented advanced CI/CD pipelinesusing Jenkins and AWS CodePipeline for automated build, test, and deployment processes, with automated testing frameworks like Selenium and JUnit to ensure high-quality releases.

Utilized AWS Elastic Beanstalkfor scalable application deployment and management, complemented by comprehensive monitoring and logging with AWS CloudWatch and the ELK Stack for real-time visibility and issue resolution.

Conducted regular training sessions for development and operations teams to streamline the deployment process and enforce best practices.

Impact

Increased Release Frequency

Boosted feature release rate by 46%, enabling faster delivery of new capabilities.

Enhanced Deployment Efficiency

Achieved 60% reduction in manual errors and deployment times through high automation.

Improved System Performance

Handled 35% more user load seamlessly and reduced issue resolution time by 40% with enhanced monitoring and logging.

Customer Testimonials

Partnering with Applied AI Consulting was a game-changer for us. Their expertise in automating our deployment pipelines and improving scalability has drastically reduced our time-to-market. The seamless integration of advanced CI/CD processes has not only enhanced our operational efficiency but also ensured that our platform can effortlessly handle increased user demand.
Sanju, Product Owner Marxeed

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Tue, 20 Aug 2024 15:12:34 +0000

Transforming Financial Services with AWS: Capital Market Platform Journey to Enhanced Scalability and Efficiency

Capital Market Platform Journey to Enhanced Scalability and Efficiency

Company Overview

Issue

Migrating and modernizing the content management application to AWS.

Implementing AWS cloud operations and DevOps for continuous integrations and deployments.

Enhancing scalability and reliability of the applications.

Setting up efficient monitoring and operations dashboards.

Let’s discuss your use cases

Contact Sales

Similar Use Cases

What Is an AI Maturity Model?

A maturity model is a framework used to assess how well your organization uses a

AAIC + Nisum Partner to Accelerate Enterprise Cloud Transformation with Agentic AI and AWS Innovation

Applied AI Consulting is proud to announce a strategic partnership with Nisum, aimed at delivering

Solution

Containerized and Scalable Deployment: Containerized the EMFI application using AWS ECS Fargate and set up an ALB for traffic distribution and auto-scaling.

Automated CI/CD and Infrastructure Management: Implemented CI/CD pipelines, automated environment deployments with ASG, and managed AWS services using Terraform.

Enhanced Monitoring and Migration: Established a Datadog dashboard for monitoring and facilitated migration from private GitLab to public GitHub.

Impact

Cloud Migration and Modernization

Successfully migrated the content management application to AWS, modernizing its infrastructure.

Scalability and Reliability

Achieved high scalability and reliability through containerization and automated deployments.

Improved Monitoring and Collaboration

Enhanced system visibility with Datadog and streamlined version control by migrating to GitHub.

Customer Testimonials

Applied AI Consulting’s expertise in building custom AI solutions with ML and NLP, along with their scalable AWS implementation, significantly enhanced our product’s performance. Their innovative approach and commitment to quality have driven tangible improvements, greatly benefiting our customers.
CTO 7Targets.ai

What is Application Modernization

Fri, 30 Dec 2022 09:27:32 +0000

Application modernization is an important topic, as many businesses are looking to modernize their applications in order to stay competitive and meet the changing needs of their customers. There are many different aspects of application modernization, including updating the technology, improving the user experience, and optimizing performance. Some potential topics for blogs on application modernization could include:

The benefits of modernizing applications, including increased efficiency, reduced costs, and improved performance
The different approaches to application modernization, such as re-platforming, refactoring, or re-architecting
Case studies or examples of successful application modernization projects
Tips for planning and implementing an application modernization project

Re-platforming

What is re-platforming? What does it mean to modernize an application using re-platforming?

Re-platforming is the process of moving an application from one platform to another. This can involve changing the operating system, programming language, or underlying infrastructure that the application runs on. Re-platforming is often done as part of an application modernization effort, as it can help to improve the performance, scalability, and maintainability of the application.

There are a few different reasons why a business might choose to re-platform an application:

To take advantage of new features or capabilities: For example, a business might re-platform an application to a newer version of an operating system or programming language that has more advanced features or capabilities.
To improve performance or scalability: Re-platforming to a more powerful or efficient platform can help to improve the performance and scalability of an application.
To reduce maintenance costs: Maintaining an older or outdated platform can be expensive, so re-platforming to a newer platform can help to reduce maintenance costs.

Re-platforming can be a complex and time-consuming process, as it involves moving all of the code and data from one platform to another. It’s important to carefully plan and test the re-platforming process to ensure that the application continues to work correctly on the new platform.

Re-platforming can be best understood with a few examples. Let me share one such example.

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Re-factoring

What is re-factoring? What does it mean to modernize an application using re-factoring?

Re-factoring is the process of changing the internal structure of an application without altering its external behavior. This means that the application will continue to function the same way for users, but the code and design of the application will be improved to make it more maintainable, scalable, and efficient. Re-factoring is often done as part of an application modernization effort, as it can help to improve the long-term sustainability and performance of the application.

There are a few different reasons why a business might choose to re-factor an application:

To improve code quality: Re-factoring can help to remove duplicated code, improve code readability, and reduce the complexity of the application, which can make it easier to maintain and improve in the future.
To improve performance: Re-factoring can help to optimize the code and design of the application, which can improve its performance and scalability.
To make the application easier to maintain: By improving the code and design of the application, re-factoring can help to make it easier to maintain and update in the future.

Re-factoring can be a time-consuming process, as it involves making changes to the code and design of the application. It’s important to carefully plan and test the re-factoring process to ensure that the application continues to function correctly and that the changes are effective.

Lets look at an example of refactoring to understand it better.

Re-architecting

Re-architecting is the process of redesigning the architecture of an application. This can involve making significant changes to the way that the application is structured, including changes to the technology stack, data model, and overall design of the application. Re-architecting is often done as part of an application modernization effort, as it can help to improve the performance, scalability, and maintainability of the application.

There are a few different reasons why a business might choose to re-architect an application:

To take advantage of new technologies: Re-architecting can allow a business to incorporate newer or more advanced technologies into the application, which can improve its performance and capabilities.
To improve performance or scalability: Re-architecting can help to optimize the architecture of the application, which can improve its performance and scalability.
To make the application easier to maintain: By redesigning the architecture of the application, re-architecting can help to make it easier to maintain and update in the future.

Re-architecting can be a complex and time-consuming process, as it involves making significant changes to the structure of the application. It’s important to carefully plan and test the re-architecting process to ensure that the application continues to function correctly and that the changes are effective. It may also be necessary to retrain staff or update documentation and processes to reflect the new architecture of the application.

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Which AWS resources are used for replatforming, refactoring, rearchitecting?

There are a variety of AWS resources that can be used in the process of re-platforming, re-factoring, or re-architecting an application. Some of the resources that may be relevant to these processes include:

Amazon Elastic Compute Cloud (EC2): EC2 is a web service that provides resizable compute capacity in the cloud. It can be used to host applications that are being re-platformed, re-factored, or re-architected.
Amazon Relational Database Service (RDS): RDS is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. It can be used to store data for applications that are being re-platformed, re-factored, or re-architected.
Amazon Elastic Container Service (ECS): ECS is a fully managed container orchestration service that makes it easy to run and manage containerized applications in the cloud. It can be used to host applications that are being re-platformed, re-factored, or re-architected, especially if those applications are designed to run in containers.
Amazon Elastic Container Registry (ECR): ECR is a fully managed container registry that makes it easy to store, manage, and deploy Docker container images. It can be used to store and manage the images for applications that are being re-platformed, re-factored, or re-architected, especially if those applications are designed to run in containers.

These are just a few examples of the AWS resources that may be relevant to re-platforming, re-factoring, or re-architecting an application. There are many other AWS resources that could be useful depending on the specific needs and requirements of the application and the process being used.

If I am replacing MSSql with open source PostGres – which category does that fall under? Replatforming, refactoring or re-architecting?

Migrating from MSSQL to Postgres would likely fall under the category of re-platforming, as it involves moving an application from one platform (MSSQL) to another (Postgres). Re-platforming typically involves moving an application from one operating system or infrastructure to another, and it can involve changes to the technology stack, data model, and overall design of the application. In the case of migrating from MSSQL to Postgres, the database platform would be changing from a proprietary database management system to an open-source one.

Re-factoring and re-architecting are also possible approaches to modernizing an application, but they typically involve making changes to the internal structure of the application rather than moving it to a new platform. Re-factoring involves changing the code and design of the application to make it more maintainable and efficient, while re-architecting involves redesigning the architecture of the application. Depending on the specific needs and goals of the modernization effort, any of these approaches (or a combination of them) could be appropriate.

To see more details of migrating from MsSQL to PostGres, click here. This shows how $1.4m were saved by this migration.

Serverless: If I want to modernize my application using Serverless technology, what would that typically entail? How much cost would I save using Serverless?

Modernizing an application using serverless technology typically involves making changes to the way that the application is hosted and managed. Serverless technology is a type of cloud computing that allows businesses to run their applications without having to worry about managing the underlying infrastructure. Instead of running applications on physical servers or virtual machines, businesses can use serverless technology to run their applications in a fully managed environment that is scalable and cost-effective.

To modernize an application using serverless technology, you would typically need to do the following:

Identify the parts of the application that are suitable for running in a serverless environment. This might include workloads that are event-driven or have variable usage patterns, as serverless technology is particularly well-suited for these types of workloads.
Rewrite or refactor the application code as necessary to run in a serverless environment. This might involve breaking the application into smaller, independent functions or changing the way that the application handles data and resources.
Deploy the application to a serverless platform, such as AWS Lambda or Azure Functions. This will typically involve creating and configuring the necessary resources, such as functions, event sources, and execution roles.
Test and monitor the application to ensure that it is functioning correctly and meeting the needs of your business. This might involve setting up monitoring and logging tools and establishing a process for continuous integration and delivery.

Modernizing an application using serverless technology can have many benefits, including reduced costs, improved scalability, and easier maintenance. It’s a powerful tool for businesses looking to improve the performance and efficiency of their applications.

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How much cost would I save using Serverless technologies?

It can be difficult to predict exactly how much cost you would save by using serverless technology, as it depends on a variety of factors, including the size and complexity of your application, the resources that it consumes, and the pricing model of the serverless platform that you use.

In general, serverless technology can help businesses save on costs in a few different ways:

Pay-per-use pricing: With serverless technology, you only pay for the resources that you use, rather than paying for a fixed amount of capacity upfront. This can help to reduce costs for applications that have variable usage patterns or that experience spikes in traffic.
No need to manage infrastructure: With serverless technology, you don’t have to worry about managing the underlying infrastructure, such as servers or virtual machines. This can help to reduce costs associated with infrastructure management, such as maintenance, patching, and scaling.
Automatic scaling: Serverless platforms can automatically scale your application up or down based on demand, which can help to optimize costs. For example, if your application experiences a sudden spike in traffic, the serverless platform will automatically provision additional resources to meet the demand, and then release those resources when the traffic subsides.

Overall, the cost savings that you can achieve with serverless technology will depend on your specific use case and the needs of your application

By moving to serverless, will I save more on people cost or on infrastructure cost?

By moving to serverless technology, you may be able to save on both people costs and infrastructure costs. Here are a few ways that serverless technology can help businesses save on these types of costs:

People costs: By using serverless technology, you can potentially reduce the number of people required to manage the underlying infrastructure of your application. This is because serverless platforms handle tasks like infrastructure management, scaling, and patching automatically, so you don’t have to allocate as many resources to these tasks.
Infrastructure costs: With serverless technology, you only pay for the resources that you use, rather than paying for a fixed amount of capacity upfront. This pay-per-use pricing model can help to reduce costs for applications that have variable usage patterns or that experience spikes in traffic. Additionally, because serverless platforms automatically scale your application up or down based on demand, you may be able to save on costs associated with overprovisioning or underprovisioning resources.

Ultimately, the specific cost savings that you can achieve with serverless technology will depend on your specific use case and the needs of your application. It’s a good idea to carefully assess your current costs and usage patterns to understand how serverless technology could impact your overall cost structure.

What are the factors that could impact the costs and benefits of modernizing an application?

There are a number of factors that could impact the costs and benefits of modernizing an application, including the specific needs and goals of the business, the current state of the application, and the specific modernization approach that is taken.

To make a more informed decision about whether to modernize an application, it would be helpful to have a clearer understanding of the current costs and benefits of the application, as well as the expected costs and benefits of modernizing it. For example, it would be helpful to know:

What are the current costs of the application, including people costs (e.g., salary, training, and development) and infrastructure costs (e.g., servers, storage, and networking)?
What are the current benefits of the application, including revenue, efficiency, and customer satisfaction?
What are the expected costs and benefits of modernizing the application, including the cost of the modernization effort and the ongoing costs of running the modernized application?

Once you have a clearer understanding of these factors, you can then compare the expected costs and benefits of modernizing the application to the current costs and benefits to determine whether it makes sense for your business to proceed. You may also want to consider other factors, such as the level of risk associated with the modernization effort and the impact that the modernization could have on your business’s operations and competitive position.

Is it a good idea to get the application assessed for modernization via a third party consultant or should the assessment be done in-house?

There are pros and cons to both approaches, and the best option for your business will depend on your specific needs and resources. Here are a few factors to consider when deciding whether to get your application assessed for modernization via a third party consultant or to do it in-house:

Expertise: A third party consultant may have more expertise and experience in assessing applications for modernization than your in-house team. This can be especially beneficial if your in-house team is not familiar with the specific technologies or approaches that are relevant to the modernization effort.
Objectivity: A third party consultant may be able to provide a more objective perspective on the modernization potential of your application. This can be helpful if you are looking for an unbiased assessment of the strengths and weaknesses of your application.
Time and resources: Assessing an application for modernization can be a time-consuming and resource-intensive process. If your in-house team is already stretched thin, or if you don’t have the necessary expertise or resources to conduct the assessment in-house, hiring a third party consultant may be a more efficient option.
Cost: Hiring a third party consultant can be more expensive than conducting the assessment in-house. However, the cost of the assessment may be offset by the cost savings or revenue gains that result from the modernization effort.

Ultimately, the decision of whether to get your application assessed for modernization via a third party consultant or to do it in-house will depend on your specific needs and resources. It may be helpful to weigh the pros and cons of each approach and to consider the specific goals and constraints of your business when making this decision.

Contact AAIC for assessing your app. First 30 minutes free.

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AAIC helps Skyword for Migration and Modernizing Application Deployment and Maintenance With AWS.

Tue, 26 Apr 2022 10:55:52 +0000

PROJECT GOAL

AAIC helped Skyword to achieve application migration and modernization with the existing team. This also reduces the efforts on deploying, maintaining and supporting the existing applications. Skyword also achieved an optimal automation and DevOps on Skyword 360.

BUILDING THE SOLUTION

AAIC engineers team worked with Skyword technical leadership and Product owner team to develop modernized business solution which includes.

Containerising and automating the deployment of environments for the Skyword app and migrate on K8S
CI and CD implementation for Skyword application.
By using GitHub actions for building the WAR/JAR files and automated deployment of the same on different AWS ASG. Cloud Formation templates are used for creating the infrastructure. Selenium testing framework is integrated with CI pipeline for functional testing. OWASP is being used for security/DevSecOps. CloudWatch metrics and logs are used for monitoring the system. Lambda functions are written to scale up/down the environment from cost saving perspective.
API and Selenium UI automation testing of Skyword application use cases, and make it part of the CI/CD
Setting up Operations/Monitoring dashboard like TrackMaven
Help in migrating private GitLab to public SaaS GitHub.
Customer had below mentioned challenges, so we migrated to GitHub.

Inability to host everything on gitlab.
Client team was familiar with GitHub and onboarding them on Gitlab was taking much effort.
Gitlab’s sack integration was not efficient.

ARCHITECTURE

Information on clients to be deployed securely in the Cloud. Standard 3 Tier architecture is used. Clients can login with appropriate IAM security. Group rules and security were also used.

Within AWS the architecture utilised Amazon’s Elastic Load Balancers combined with Auto Scaling Groups to balance the traffic across multiple instances and automate the creation/termination of instances across multiple Availability Zones. A number of components were also split out from the current infrastructure to make it more modular and fault-tolerant. This provides redundancy across multiple geographic location.

DEPLOYED AWS SERVICES

• AWS S3 Bucket

S3 is an object storage service. To store the images formatted by the openross application S3 bucket is getting used.

•AWS Elastic File System

EFS is a regional service storing data within and across multiple Availability Zones for high availability and durability. For sharing the file system across multiple applications amazon elastic file system is used.

•AWS Cloudwatch Log Group

Amazon CloudWatch Logs used to monitor, store, and access application logs. For storing the application logs, AWS CloudWatch log group is getting used.

•AWS Application Load Balancer

ALB is used for distributing incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones.

•AWS Route53 Hosted Zones

Route 53 is a highly available and scalable DNS web service. It is getting used for routing internet traffic to the skyword applications.

•AWS Secrets Manager

All the skyword application secrets or properties are stored in AWS Secrets Manager.

•AWS Key Management Service

AWS Key Management Service is a managed service that makes it easy for you to create and control customer master keys, the encryption keys used to encrypt your data. It is getting used to encrypt the EFS data and Skyword applications secrets.

•AWS Elasticache (Redis)

Amazon ElastiCache for Redis is a Redis-compatible in-memory data store service. It is getting used for session management in skyword web application.

•AWS Certificate Manager

It is a service that lets you easily provision, manage, and deploy public and private Secure Sockets Layer/Transport Layer Security (SSL/TLS) certificates for use with AWS services and your internal connected resources.

•AWS System Manager Session Manager

Session Manager is a fully managed AWS Systems Manager capability that lets you manage your EC2 instances, on-premises instances, and virtual machines (VMs) through an interactive one-click browser-based shell or through the AWS CLI.

•AWS Identity and Access Management

AWS Identity and Access Management (IAM) enables you to manage access to AWS services and resources securely.

THE DATA LAYER

RDS was used for the data-layer. AWS Aurora is a MySQL-compatible RDBMS which was designed from the ground-up to run on AWS, and has a number of benefits over MySQL running on RDS which is more durable and redundant

Deployment

Application Instance creation, launch and updating is managed using AMI.(Amazon Machine Image.)In order to update AMI i.e., modifying WAR/JAR files present in the AMI, AMI bakery is used. It also provides support for deploying it into the respective auto-scaling group. AMI deployment process is done in a blue-green fashion where a new instance will be launched and only after that older or previous instance will be terminated.

AWS lambda function has been set up in environment. This lambda function is responsible for scaling up or scaling down autoscaling groups. It can be scheduled to scale up or scale down at a specific rate or crontab also.

VERSION CONTROLLING YOUR INFRASTRUCTURE

Git VCS is used to manage the versioning of the infrastructure. a git repo is created with all of the relevant setup & configuration scripts, along with any relevant documentation etc. Detailed information on how to recreate our infrastructure from scratch is combined with CloudFormation which allowed to automate the creation of almost all AWS services.

THE MIGRATION BENEFITS

Uptime Significant improvement, which can monitor with 3rd party tools and confirmed.
No single point of failure
Ability to innovate Being on AWS opens up an array of new services and technologies that are now significantly more accessible to the average IT group. Whether it’s looking at new storage engines like Redshift or services like Amazon Machine Learning or Lambda, the time to implement – and therefore innovate – is significantly reduced.
Integration to other systems Being on AWS opens up new possibilities to integrate including best of breed tools & services to connect to other systems.
Scale Elasticity, load balancing and the capability to scale automatically is a big bonus.

COST OPTIMIZATION

With the deployment and output of AWS Migration Evaluator, Skyword was able to see detailed reports of their inventory.

The utilization of resources were analyzed, and this helped in right-sizing the company’s AWS solutions. Some of skywords existing resources were over-provisioned and right-sizing their resources resulted in significant cost savings.

With the use of tagging and AWS Billing and Cost Management, an ongoing review was carried out to ensure skyword operated at cost efficiency.

AAIC is technology services company that provide high-end engineering services and is proficient in enterprise class for IT-delivery.AAIC focus on Automation in Cloud and DevOps

Integrated Razorpay within 2 Weeks to Create Flawless Invoicing Experience

Fri, 01 Apr 2022 12:35:59 +0000

Everything from ordering a meal, booking a cab, to pay your bill has shifted to mobile today. And without any confusion, mobile is leading this revolution.

Today’s shoppers are making mobile the biggest disruption in consumerism to browse everything online than the other devices. With ‘mobile first’ becoming the norm, mobile apps are not only on the top chart list but are also impactful.

According to recent research, 69.4% of users use their mobile phones for online shopping.

Let’s have more insights into this mobile-first journey:

6 out of 10 shoppers say that the possibility of shopping via mobile is an essential factor in brand selection.
Mobile web traffic is responsible for 54.8% of international web traffic.
70% of the total digital media time in the US is spent on smartphones.

With ‘mobile first’ becoming the benchmark, mobile apps are growing exponentially. And with this collecting payments from customers is rising.

The COVID-19 pandemic has removed the ‘Cash on Delivery’ option from all online shopping apps due to chances of infection; integrating secure and easy-to-use payment gateways has become the only choice for all online retailers.

Payment is one of the most important steps in the customer journey and hence the online apps should assure the payment solutions or gateways they integrate must deliver an optimized and flawless payment experience. Besides, the payment experience always looks like an extra extension of the whole app experience.

Right from interactive UI to fraud protections, there are many things you should consider before integrating your app with a payment gateway. Here are some:

Ease of Integration: The integration should be easy and take a minimum time for the developer. Also, the update should be easily handled by the merchants, and the SDK size should be lighter so that it won’t take up much space in the user’s device.
User Interface: The UI should ensure the customer a secure gateway and it should land on a mobile-friendly bank page. You should also consider customization as a key aspect while you integrate a payment gateway.
Payment Analytics: Due to several aspects, including double payment, refunds, dropoffs, etc. analytics is important while integrating. Such analytics include average page loading time, the mobile network used (2G, 3G, 4G, etc.), receipt of bank OTP, and more. This helps to identify and resolve issues related to such issues.

Nifty Features and Plugins: Nifty features like auto-reading OTP enhance customer experience by saving a lot of manual efforts. Card-saving feature is another benefit that makes purchasing easy for customers. Razorpay offers both of these features.

Settlement Period: Fast payment settlement is one of the most important features you should consider before integrating a payment gateway. It ensures seamless purchasing and also boosts customer experience.

Why Razorpay and how do we integrate for a customer?

Razorpay is one of the top payment solutions and one of our customers wanted to integrate the same with their app. A slight issue occurred. The built-in API of Razorpay creates invoices that look like a challan. Invoice generation in Razorpay is more of a challan type of bill which has a button for payment to be done. And it does not cater to the need for an Invoice.

Where both challan and invoices are different from each other.

So what we did was, developed a code to create invoices using AWS Lambda and AWS DynamoDB with AWS serverless. It enabled fetching data from tables and payments.

The invoice needs some parameters like SGST and CGST as per the client’s requirements. Also, the client logo needed to be put on the invoice. Using serverless and S3, we could achieve this. The invoice generation is integrated with the payment verification webhook. As soon as a payment is verified and successfully received, an invoice generation lambda function is called. The generated invoice was done using python canvas.

We created a downloadable invoice stored in the S3 bucket for future retrieval.

Let’s connect!

Published By

Meet Jethwa

Tech Lead

Meet carries extensive work experience and currently leads our organization as an efficient Tech Lead. He loves to learn new technologies. In his free time, he likes painting, sketching, coding and cooking.

Application Modernization | Applied AI Consulting

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