- Distributing Load and Volume with Auto-Scaling and Load Balancing
- Enabling Automatic Failovers for High Availability
- Facilitating Controlled Deployments with Rollback Strategies
- Providing Chaos Engineering Capabilities for Resilience Testing
- Assisting in Incident Response with Automation
- Ensuring Proper Configuration Management
- Leveraging Immutable Infrastructure as a Service
- Practicing Disaster Recovery Frequently
- Case Study
- Summary
- Q&A
This chapter is from the book
This chapter is from the book
This chapter is from the book
Providing Chaos Engineering Capabilities for Resilience Testing
Chaos engineering is a crucial practice in modern cloud and DevOps environments. Cloud providers developed several tools that offer chaos engineering capabilities for resilience testing, helping organizations proactively identify and address weaknesses in their systems. Some of these tools include the following.
AWS Fault Injection Simulator (FIS): FIS allows you to run controlled chaos experiments on your infrastructure to test its resilience. You can introduce faults and failures into your AWS resources to see how your systems respond. FIS supports a variety of AWS services and failure modes, making it a powerful tool for assessing your application’s reliability.
AWS Systems Manager: While Systems Manager is primarily used for managing and automating operational tasks, it also includes features for running maintenance and compliance tasks, which can simulate failures and test the resilience of your systems. It offers a broader set of capabilities beyond chaos engineering, but it can be leveraged for such purposes.
AWS Step Functions: Step Functions can be used to design and execute workflows that simulate failure scenarios and test how your applications react.
Chaos Mesh: Chaos Mesh is an open source chaos engineering platform for Kubernetes environments, developed by the Cloud Native Computing Foundation (CNCF) community. It allows you to inject faults and disturbances into your Kubernetes clusters to simulate real-world failures and test the resilience of your applications and infrastructure. Chaos Mesh supports various chaos engineering experiments, such as Pod failure, network latency, packet loss, and more. You can define chaos experiments using Chaos Mesh’s Custom Resource Definition (CRD) API and specify the scope, duration, and severity of the injected faults.
Azure Chaos Studio: Azure Chaos Studio is a chaos engineering service for Azure that allows you to simulate real-world failures and test the resilience of your cloud applications and infrastructure. It provides a user-friendly web-based interface for creating, running, and analyzing chaos experiments. Azure Chaos Studio integrates with Azure Monitor and Azure Resource Manager to discover and target resources in your Azure environment for chaos testing. You can define chaos experiments to inject faults and disturbances, such as network latency, VM failures, service interruptions, and more, and observe the impact on your applications’ performance and availability.
