Hey everyone! 👋 I wanted to share a project I worked on that's really exciting - it's a web application called Vprofile, and we just migrated it to AWS using "Lift and Shift" strategy. Here's the rundown:

💡 Scenario:

• Originally, the application services were running on physical/virtual machines in a traditional datacenter setup

• Faced challenges with complex management, scale-up/down complexities, upfront costs, regular maintenance, and manual processes

  🛠️ Solution:

• Adopted a Cloud Computing approach using AWS to address these challenges

• Leveraged Infrastructure as a Service (IAAS) for a pay-as-you-go model, ensuring flexibility, ease of management, and automation

🔧 Key Components Used:

• Utilized EC2 instances for Tomcat, RabbitMQ, Memcache, and MySQL

• Replaced Nginx Load Balancer with Elastic Load Balancer (ELB)

• Implemented Auto Scaling Groups for VM scaling automation

• Employed S3 for shared storage of artifacts

• Integrated Route53 private DNS service for seamless domain resolution

• Ensured SSL encryption with ACM for secure communication

  🛠️ Artifact Deployment:

• First, I built the artifacts locally using Maven

• Uploaded the artifacts to S3 shared storage, allowing Tomcat instances to seamlessly access them

• Created an I am role and attached to the instance for S3 full access

  🚀 How It Works:

• The Elastic Load Balancer (ELB), Tomcat instances, and Backend services are each placed in separate Security Groups, each having distinct inbound rules

• This ensure control over the network traffic to and from these components, enhancing security and facilitating proper communication

• Users access the website through a URL linked to my Domain (ksprateek.me)

• The URL directs to the ELB endpoint specified in DNS settings

• Browsers connect to ELB using HTTPS, with the SSL certificate managed by ACM

• ELB, configured in a security group, allows only HTTPS traffic

• Requests are routed to Tomcat instances on EC2 through port 8080

• Apache Tomcat instances are managed by Auto Scaling Groups

• Backend services (MySQL, RabbitMQ, Memcache) run on separate EC2 instances

• Route53 DNS Private Zones store information about backend services

🎉 Results Achieved:

• Achieved improved scalability, flexibility, and ease of management

• Successfully eliminated upfront costs and reduced manual intervention

• Automated processes for scaling, ensuring efficiency and cost-effectiveness

  👉 Conclusion:

  Leveraging AWS for "Lift and Shift" not only resolved existing challenges but also paved the way for a more scalable, automated, and cost-efficient infrastructure 💻☁️

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