Application Modernization
Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS
Facilitating DevOps and Infrastructure Modernization for Zykrr: A Seamless Transition from Azure to AWS Seamless Azure to AWS Transition Enhancing DevOps and Infrastructure Modernization Faster Time to Market: Automated deployments reduced launch times by 85% and streamlined operations led to a decrease in operational costs. 0 % Improved Scalability and Performance: Scalable AWS architecture increased […]
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.
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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.
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