Objective: The main objective of the serverless architecture implementation was to improve the scalability and cost efficiency of the company’s applications. Additionally, the goal was to make the platform more agile and reduce the time required to deploy updates and new features.
Serverless Framework: The company chose to use the serverless framework, which is an open-source tool that allows developers to easily build and deploy serverless applications.
Terraform: Terraform, an infrastructure as code tool, was used to automate the deployment and configuration of the company's serverless architecture. Terraform was used to define the resources needed for the serverless architecture, such as AWS Lambda functions and Amazon API Gateway.
Microservices: The company's application was broken down into smaller, independent microservices, each running in its own serverless environment. This allowed for easier scaling of individual services and reduced the impact of a failure in one service on the entire application.
Continuous Integration/Continuous Deployment (CI/CD): The DevOps engineer implemented a Github actions CI/CD pipeline to automate the build and deployment of the serverless application. This pipeline included automated testing and security checks to ensure that the application was secure and stable before deployment.
Monitoring and Logging: The DevOps Engineer set up monitoring and logging tools such as AWS CloudWatch and AWS CloudTrail to track the performance and usage of the serverless application.
As a result of the serverless architecture implementation was able to improve the scalability and cost efficiency of application on cloud platform. The platform was able to handle increased traffic. Additionally, the platform became more agile and the time required to deploy updates and new features was reduced.
Using serverless architecture and terraform allows companies to improve the scalability and cost efficiency of their applications. By breaking down monolithic applications into smaller, independent microservices, companies can improve the scalability of individual services and reduce the impact of a failure in one service on the entire application. Additionally, using Terraform to automate the deployment and configuration of the serverless architecture allows companies to improve the agility of the platform and reduce the time required to deploy updates and new features.