Knowledge Factory

For a Spring Boot developer looking to integrate with AWS, several services are highly beneficial to master. These services will help you build, deploy, and scale your Spring Boot applications efficiently on AWS. 🌐🚀 1. Amazon EC2 (Elastic Compute Cloud) 🖥️ Purpose : EC2 is essential for running virtual machines on AWS. You can use EC2 instances to host your Spring Boot applications. Key Skills : Launching EC2 instances, configuring auto-scaling, setting up security groups, and managing instances using EC2 CLI or AWS SDK. 2. Amazon S3 (Simple Storage Service) 🗂️ Purpose : S3 is used for storing static assets, backups, and large files like images or documents. Key Skills : Uploading and retrieving files, setting up buckets, configuring access control policies, and using the AWS SDK in your Spring Boot app. 3. Amazon RDS (Relational Database Service) 🏛️ Purpose : For managing relational databases like MySQL, PostgreSQL, and Oracle. Spring Boot applications commonly interact with data...

Here are some essential AWS services every Python developer should be familiar with: 1. Compute Services Amazon EC2 💡 "Think of EC2 as your cloud-based computer that can grow with your needs. Perfect for Python apps needing full-stack control." ➡ Use EC2 for deploying Django or Flask apps that need custom configurations. AWS Lambda 💡 "Pay only for what you use—Lambda is the ultimate Python partner for microservices and event-driven architectures!" ➡ Combine Lambda with API Gateway to build scalable REST APIs. 2. Storage Services Amazon S3 💡 "Your infinite cloud bucket! Store everything from media files to backups and serve static websites with ease." ➡ Leverage boto3 to automate S3 operations like uploading files. Amazon EBS 💡 "Reliable, persistent storage for your EC2. Treat it like a hard drive but without the hardware!" ➡ Use EBS for databases requiring high IOPS. Amazon EFS 💡 "EFS gives shared storage across EC2 instances—collabora...