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This post explores a proof-of-concept (PoC) written in Terraform , where one region is provisioned with a basic auto-scaled and load-balanced HTTP * basic service, and another recovery region is configured to serve as a plan B by using different strategies recommended by AWS. Backup service repository. Backup and Restore.
The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic LoadBalancer. Amazon S3 : Object storage for data, logs, and backups. AWS Lambda : Serverless computing service for event-driven applications. MySQL, PostgreSQL).
You can also build automation using Lambda Functions with custom triggers like AutoScaling Lifecycle Hooks, have a LoadBalancer in front of your servers to balance the traffic as well as have DNS management in Route53.
Some of the key AWS tools and components which are used to build Microservices-based architecture include: Computing power – AWS EC2 Elastic Container Service and AWS Lambda Serverless Computing. Networking – Amazon Service Discovery and AWS App Mesh, AWS Elastic LoadBalancing, Amazon API Gateway and AWS Route 53 for DNS.
Their expertise in optimizing EC2, S3, and Lambda confirms businesses particular expenses for the resources they indeed need, lowering costs while maximizing performance. Loadbalancing optimizes traffic distribution across instances to maximize resource usage. AWS tools: Auto Scaling Groups, Elastic LoadBalancer (ELB).
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