AWS Advance Tutorial

Here’s an advanced tutorial for using AWS:

  1. Use advanced security features: As you move into advanced AWS usage, it’s important to think carefully about security. AWS offers a variety of advanced security features, including AWS KMS (Key Management Service), AWS Secrets Manager, and AWS Shield. These services allow you to encrypt your data, manage your keys, and protect against DDoS attacks.

  2. Use containers: Containers are a lightweight and portable way to package and deploy applications. AWS offers a variety of container-related services, including Amazon ECS (Elastic Container Service), Amazon EKS (Elastic Kubernetes Service), and AWS Fargate. These services allow you to easily deploy and manage containers, without having to worry about the underlying infrastructure.

  3. Use serverless architectures: Serverless architectures are an increasingly popular way to build applications, as they allow you to focus on your code and not on managing servers. AWS offers a variety of serverless services, including AWS Lambda, AWS Step Functions, and AWS AppSync. These services allow you to build highly-scalable and event-driven applications, without having to worry about provisioning or scaling servers.

  4. Use machine learning: Machine learning is becoming an increasingly important part of many applications. AWS offers a variety of machine learning services, including Amazon SageMaker, Amazon Comprehend, and Amazon Rekognition. These services allow you to build and deploy machine learning models, without having to worry about the underlying infrastructure.

  5. Use edge computing: Edge computing is a way to bring computing resources closer to the end-user, reducing latency and improving performance. AWS offers a variety of edge computing services, including AWS CloudFront, AWS Lambda@Edge, and AWS Global Accelerator. These services allow you to build highly-responsive and low-latency applications, by leveraging AWS’s global network of data centers.

  6. Use analytics and big data: AWS offers a variety of analytics and big data services, including Amazon EMR, Amazon Athena, and Amazon Redshift. These services allow you to store, process, and analyze large amounts of data, allowing you to gain insights and make better decisions.

  7. Use advanced monitoring and logging: As your infrastructure becomes more complex, it’s important to have good monitoring and logging. AWS offers a variety of advanced monitoring and logging tools, including AWS CloudTrail, Amazon CloudWatch Logs, and Amazon Elasticsearch. These services allow you to monitor your infrastructure, track changes, and diagnose problems.

There’s lot more to learn. Stay Tuned !!