Reliability
These hands-on labs will teach you how to implement reliable workloads using AWS.
- Reliability is the ability of a workload to perform its intended function correctly and consistently when it’s expected to. This includes the ability to operate and test the workload through its total lifecycle
- Resiliency is the ability of a workload to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions, such as misconfigurations or transient network issues.
- Reliability depends on multiple factors, of which resiliency is one of the most impactful.
For more information about Reliability, read the AWS Well-Architected Reliability whitepaper.
Reliability Labs
Reliability Labs by Level
- 100 Labs
- 200 Labs
- Level 200: Implementing Bi-Directional Cross-Region Replication (CRR) for Amazon Simple Storage Service (Amazon S3)
- Level 200: Deploy and Update CloudFormation
- Level 200: Testing Backup and Restore of Data
- Level 200: Understanding application resilience using AWS Resilience Hub
- Level 200: Testing for Resiliency of EC2 instances
- Level 200: Backup and Restore with Failback for Analytics Workload
- 300 Labs
- Level 300: Implementing Health Checks and Managing Dependencies to improve Reliability
- Level 300: Testing Resilience of EC2, RDS, and AZ using Chaos Engineering
- Level 300: Fault Isolation with Shuffle Sharding
- Disaster Recovery
Reliability Labs by tag (topic)
- implement_change
- Level 100: Deploy a Reliable Multi-tier Infrastructure using CloudFormation
- Level 200: Deploy and Update CloudFormation
- data_backup
- Level 200: Testing Backup and Restore of Data
- Level 200: Implementing Bi-Directional Cross-Region Replication (CRR) for Amazon Simple Storage Service (Amazon S3)
- test_resiliency
- Level 300: Testing Resilience of EC2, RDS, and AZ using Chaos Engineering
- Level 200: Testing for Resiliency of EC2 instances
- mitigate_failure