Container memory scalability
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Description
Verify that your containerized service scales as expected when memory is limited. Gremlin increases memory utilization in three stages—50%, 75%, and 90%—to validate container memory management.
What this Scenario does
This Scenario progressively consumes memory within your containers in three stages: 50%, 75%, and 90%. This simulates memory pressure from traffic spikes, memory leaks, or under-provisioned container resource limits.
Why run this Scenario?
- Identify memory leaks or poor garbage collection within containerized applications.
- Test how container memory limits interact with the container runtime under extreme pressure.
- Verify that container health checks and restart policies respond appropriately to memory exhaustion.
- Optimize container memory resource limits to balance cost, performance, and resilience.
Expected outcome
If memory usage spikes to 90% within a container, the application continues to function without performance degradation for at least 5 minutes.
