Chaos Test

Chaos testing is a new test method to verify the resilience and resilience of the system by actively introducing faults into the system, and is committed to finding potential problems in advance in a complex distributed environment to improve the robustness and reliability of the system.

Test Objectives
-Verify system resilience: By actively injecting faults (e. g., node downtime, network latency, etc.), verify the system's self-healing and fault tolerance in abnormal situations to ensure a highly resilient architecture.
Improve system reliability: simulate real failure scenarios, identify potential risks in advance, optimize system design, and improve overall operational stability and reliability.
Ensure business continuity: reduce service interruption caused by system failure and ensure the continuous availability of core business.

Core Functions
Fault injection: simulate various types of faults (such as node downtime, network delay, CPU overload, etc.), and actively test the performance of the system under abnormal conditions.
Experiment management: support the whole life cycle management of experiment creation, execution, monitoring and termination to ensure that the test process is controllable.
Monitoring and data acquisition: real-time acquisition of system operating status and performance indicators, to provide data support for subsequent analysis.
Results analysis: Generate visual reports to help locate system weaknesses and assess resilience and fault tolerance.

Typical Scene
-High concurrent business scenario simulation: Chaos testing can simulate extreme situations such as traffic surges and service overloads to ensure stable business operation under high load.
Disaster recovery capability test: Chaos test verifies the disaster recovery mechanism and data recovery capability of the system by simulating catastrophic events such as data center failure and storage service interruption.
-Cloud native environment stability verification: For applications running on containerized platforms, chaotic testing can simulate node failures, insufficient resources and other issues to verify the scheduling capability of the platform and the elastic scaling mechanism of the application.
· Network Anomaly Scenario Simulation: Chaos testing can simulate abnormal situations such as network delay, packet loss, bandwidth limitation, etc., and test the performance of the system in an unstable network environment.