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AWS Virtual Job Simulation

This repository contains the work I completed during my AWS virtual internship. It showcases my journey in designing and implementing scalable, reliable, and cost-effective cloud architecture using AWS services.

🌟 What I Worked On

  • Designed a scalable hosting architecture for a startup using AWS Elastic Beanstalk.
  • Integrated multiple AWS services to enhance application performance, scalability, and redundancy.
  • Addressed real-world challenges like load balancing, database backups, and application scaling.

📚 What I Learned

  • AWS basics
  • AWS types
  • AWS services
  • AWS architectural diagram
  • AWS model

🌍 Technologies Learned

  • CodePipeline: For setting up CI/CD pipelines.
  • Elastic Load Balancing: To distribute traffic across multiple instances.
  • RDS: For managing relational databases.
  • EC2: To provide scalable computing power.
  • S3: For secure and scalable storage solutions.

🌍 Application Executors & Provisioning

  • EC2: Virtual servers in the cloud for scalable computing.
  • Fargate: Serverless compute engine for containers.
  • Lambda: For running code without provisioning or managing servers.
  • Lightsail: Easy-to-use cloud platform for web applications.
  • Elastic Beanstalk: For deploying and scaling web applications easily.

🌍 Practical Scenarios

  • Scalable API and Web Hosting: Designed an architecture to handle traffic spikes using auto-scaling EC2 instances and load balancing.
  • Database Redundancy: Configured RDS with a failover setup across multiple availability zones for high availability.
  • Cloud Backup: Leveraged S3 for storing database snapshots and application backups.
  • DNS Management: Used Route 53 for dynamic traffic routing and improved application reliability.

🚀 Key Takeaways

  • Gained real-world exposure to AWS services and best practices in cloud architecture.
  • Enhanced skills in designing scalable and redundant cloud solutions.
  • Implemented automation for deployment and backups.
  • Collaborated on cloud-based projects effectively.

Feel free to explore the repository to see detailed implementation examples and learnings from this journey!