Test Azure Container Apps reliability with Gremlin Failure Flags. Inject latency and errors into containers to validate dependency failure handling.
Azure Container Apps scales your containers on request volume or queue depth, which works beautifully when the pressure is real demand. When the pressure is a dependency that stopped answering, the same mechanism makes the situation worse.
The sequence is worth understanding before you live through it:
- A downstream service slows down, and your containers hold requests open waiting for it.
- Request volume climbs because nothing is completing, and KEDA reads that as demand.
- Container Apps scales out, and every new replica makes the same failing call.
- The struggling dependency now receives several times its normal load, and recovery moves further out of reach.
Whether you experience this comes down to how fast your application fails. A service that returns an error promptly lets the scaler settle. One that hangs keeps replicas occupied and keeps the scaler climbing. Gremlin lets you find out which one you built by injecting latency and errors directly into your container with Failure Flags, no infrastructure access required.
Your scaling rules and your failure handling have to agree with each other. Testing is where you find out whether they do.
Dependencies: Failure Test
Simulate a failed dependency by dropping all network traffic to the dependency.
Dependencies: Latency Test
Recreate poor network conditions by delaying all network traffic to a dependency by 100ms.
Unreliable Networks - Dependencies
Simulate unreliable network conditions when communicating with dependencies by adding latency to API calls. Test whether your users are affected when dependency response times degrade.
* Failure Flags works wherever you can add the SDK to your application and run the Gremlin sidecar. Not every language and platform combination has been individually tested, and not all are officially supported. Check our compatibility documentation for what's verified, or get in touch if you don't see your runtime.
Intelligent Health Checks - Azure
Automatically monitor your Azure services during testing in one-click with Intelligent Health Checks.
Avoid downtime. Use Gremlin to turn failure into resilience.
Gremlin empowers you to proactively root out failure before it causes downtime. See how you can harness chaos to build resilient systems by requesting a demo of Gremlin.
.svg)