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Top 9 AWS technologies you need to modernize a CMS

I talk to many CEOs regularly. They are struggling with a long go to market duration, frequent feature releases, fixing issues in the production faster, and scaling the products. 

In this blog, I am discussing how adopting DevOps can help you overcome these issues.

I am also highlighting how to nurture your organizations to adopt a DevOps culture.   


To nurture a DevOps culture, as a leader you must inspire your team to use continuous improvement. 

DevOps brings end-to-end responsibility, which brings constant changes to any organization.

Businesses must practice adaptability to the changes whether it is new customer needs, new technologies, or legislation changes. 

The culture of adopting continuous improvement helps your team to get used to the CI/CD pipeline, which is an integral part of DevOps. 

Want to know more? Talk to us.


When you start focussing on fulfilling customer needs, it’s become easy to nurture a DevOps culture in your organization. 

With DevOps, you get data. The automated processes always create data and you should constantly review all the data to ensure that performance targets are met.  

But you should focus on the right data, such as the duration between the initial code commit and changes in the production.

Also, you must check the error rate while you deploy new software in the production environment and the meantime recover during any service interruption. 

However, always focus on the matrices that matter to your customers.

  • Containerising and automating the deployment of environments for the Skyword app and migrate on K8S.
  • CI and CD implementation for Skyword application.
  • 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.
  • g 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.

Security is the biggest issue any businesses face with legacy applications. Along with high-security vulnerability, slow development cycle, and app crashes are other major issues you face when you don’t modernize your legacy apps. 

One of our customers called EMFI faced similar challenges and we planned to modernize their legacy CMS with AWS technologies along with DevOps. 

In this post, we will discuss how we modernized the CMS app of the client.


We proposed to containerize the EMFI app using the AWS ECS Fargate service. It helped the customer to package the software code together with their related libraries, frameworks, and other dependencies. 

It became easy for the customer to move and run the isolated containers in any OS and environment. With this, EMFI could easily fix bugs and glitches as containerization made the code independent from the surrounding environment.    

Curious about how containerization works? Talk to our experts. 


The process of shipping code was difficult. It took weeks to finish a release cycle. Simple issue fixes took two weeks to make it to production, and the releases themselves were brittle and prone to new bugs. Furthermore, the manual deployment process frequently failed.

Hence, we implemented CI/CD for EMFI apps by accelerating their software release cycle.


We set up Application Load Balancer which distributes the incoming traffic across containers. Upon distributing the traffic in the containers, it automatically scaled the workloads. Also, we deployed a monitoring dashboard on the datalog. 

Need autoscaling during peak time? Let’s talk.


EMFI kept their apps on private GitLab and we migrated the same into public SaaS GitHub. We also implemented an auto-scaling group comprising a collection of EC2 instances that are combined as a logical group. So, it becomes easy to scale the same with features including health check replacement and scaling policies.


We also deployed Terraform, an open-source tool for infrastructure as code. Our team managed and provisioned the data centers through machine-readable definition files to get rid of physical hardware configuration or any other interactive configuration tools. 

Curious? Let our experts help you


Amazon Elastic Container Service (Amazon ECS) offers businesses a highly scalable and quick container management service. It enables businesses to easily run, stop, and manage containers on a cluster. It is also a fully managed container orchestration service. With its deep integration with the rest of the services, it is one of the most popular solutions to run your container workload anywhere.


An Amazon ECS cluster is a regional grouping of one or more container instances on which you can run task requests. It can be a logical group of capacity providers or container instances. If you run services or tasks that use EC2 launch type, the ECS cluster is a group of container instances and if you use the capacity providers, an ECS cluster is a capacity provider. 


We used task definition to run the docker containers that are used to run the application. You can specify various containers in a task definition. There are task definition parameters and not all parameters are valid. And the parameters vary as per the launch types.

EC2 stands for Elastic Compute Cloud. It is nothing but a basic computer virtually present in the AWS cloud which you can access and do whatever you can do on a basic computer.


ECS services define the minimum and the maximum tasks that are running from a single task definition at any given point.


We implemented a virtual private cloud (VPC), which is a secure, isolated private cloud hosted within a public cloud. Along with this, we implemented an application load balancer that allowed a developer to configure and route incoming end-user traffic to applications based in the AWS public cloud.


Our team also deployed AWS Identity and Access Management (IAM) to enable EMFI to manage access to AWS services and resources securely.

Apart from this, we facilitated Amazon Relational Database Service (Amazon RDS) which made it easy to set up, operate, and scale a relational database in the cloud.


AAIC is an advanced AWS partner with DevOps expertise. Deeply inspired by automation and AI, we at AAIC have been transforming many organizations to leverage cloud and DevOps with our impeccable expertise. Our AWS and DevOps engineers directly consult you to understand your legacy apps and advise changes accordingly. With us, reduce your time to market and get data security with advanced cloud solutions.  

Want to know more? Book a free consultation call

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

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