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Amazon Web Services

Lab - Implement In-Memory Databases with Amazon MemoryDB

Amazon Web Services and Amazon via AWS Skill Builder

Overview

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This lab teaches you how to deploy a MemoryDB cluster, connect to the cluster using the ValKey client, and enable high availability for cluster shards.


Objectives

  • Create and configure an Amazon MemoryDB cluster using the AWS Management Console.
  • Set up appropriate security groups and network settings to enable connectivity between an EC2 instance and a MemoryDB cluster.
  • Establish a connection to an Amazon MemoryDB cluster from an EC2 instance using the ValKey client.
  • Perform basic data operations such as storing and retrieving key-value pairs using ValKey client commands.
  • Enable and describe the high availability features of Amazon MemoryDB that minimize downtime.
  • Explain the benefits of using an in-memory database like Amazon MemoryDB in high-performance applications.
  • Identify use cases where Amazon MemoryDB can improve application responsiveness and user experience.


Prerequisites

  • Familiarity with ValKey or Redis, and in-memory database concepts is recommended. You should also be comfortable using the Linux command line and interacting with AWS services through the AWS Management Console.


Outline

Task 1: Create an Amazon MemoryDB cluster

Task 2: Prepare EC2 Instance for MemoryDB Connection

Task 3: Connect to MemoryDB Cluster from EC2 Instance

Task 4: Perform Basic Data Operations using valkey-cli

Task 5: Configure Cluster for High Availability

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