Hands-On Tutorials

Start AWS with no personal account setup: run your first command, explore the learning path, and manage a welcome setting with the AWS CLI and AWS View.

In this lab, you will learn how to implement MySQL partitioning for large datasets to improve query performance and data management. You'll partition a table by range, query specific partitions, reorganize partitions, and check the impact on query speed.

In this lab, you will learn essential MySQL error handling and logging techniques. You will practice enabling the general query log, implementing error handlers in stored procedures, raising custom errors with SIGNAL, and reviewing the MySQL error log to debug and audit your database effectively.

Create a public NAT gateway for a private application. Route outbound requests through it, observe the translated source address, test a missing route, and clean up only your NAT resources.

Repair a public application's network ACL return path. Compare destination ports in each direction, test ordered deny rules and restore the supplied fault after cleanup.

Plan a delivery application network, create a VPC and two non-overlapping subnets in different Availability Zones, inspect their relationships, and remove only your practice resources.

Limit a supplied application to one external client and TCP port using a security group. Test actual allowed and blocked requests, observe stateful replies, and remove only your practice group.

Connect a private application to S3 through a gateway endpoint. Compare NAT and service routes, test a wrong route-table association, restore private access and remove your endpoint.

Build a public application path with an Internet gateway, subnet route and Elastic IP. Test a real external HTTP request, observe a broken route, and remove only your practice resources.

Build an order table in PostgreSQL, insert customer orders and query the same stored data that an application reads.

Limit PostgreSQL network access to the application security group and give the order application a database user with only the permissions it needs.

Create a PostgreSQL read replica, route application queries to it and observe new primary writes arrive while direct replica writes are rejected.

Save a database snapshot, observe a controlled order deletion and recover the application's data by restoring a new RDS instance.

Create a private RDS PostgreSQL instance, connect with a standard SQL client and point an application at its database endpoint before cleaning up.

Create an Application Load Balancer, connect an HTTP listener to a target group and route real requests to two application servers before cleaning up your resources.

Create a launch template and Auto Scaling group, observe real application instances, replace a failing backend automatically and clean up the fleet.

Create simple scaling policies, expand a real application fleet from two to three servers, scale back in and verify capacity limits and cleanup.

Configure ALB health checks, make one real application fail, observe healthy-target routing, recover the application and clean up the load balancing resources.