Gremlin and AWS Batch (Fargate compute environment)

Test AWS Batch on Fargate reliability with Gremlin Failure Flags. Inject latency and errors to validate job timeout and retry behavior.

Why Batch (Fargate compute environment) reliability is important

Batch work on AWS Batch with a Fargate compute environment combines two conditions that hide failures well: nobody is watching while it runs, and there's no host to inspect afterward. A job that hangs on an unresponsive API doesn't crash and doesn't alert. It occupies a slot until something times out, if anything does.

The failure surfaces downstream, later, as output that's missing or incomplete. By then the diagnostic context is gone. Teams often can't tell whether a job failed cleanly, partially completed, or wrote results that look finished but aren't, and that ambiguity costs more than the failure itself.

Add Failure Flags to your job container and you can answer it before a deadline depends on the answer. Inject latency into an outbound call and confirm the job times out rather than hanging. Trigger an exception and check whether the failure reaches someone, or whether it settles into CloudWatch unread.

For unattended work, failing loudly is worth more than failing rarely.

Building resilience on Batch (Fargate compute environment) with Gremlin

Batch (Fargate compute environment) is an application platform (or PaaS), which you can test using the Failure Flags sidecar and the experiments shown on the right. You can use Failure Flags to prepare your services for application-level failure modes on Batch (Fargate compute environment), such as:

  • High-latency function calls due to slow dependencies or high processing times
  • Validating error and exception handling logic
  • Experiments isolated to specific environments, customers, or any other application-level attributes
You can also run these expert-built workflows designed to replicate real-world failure modes on Batch (Fargate compute environment):

* 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.

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Learn more about Gremlin and Batch (Fargate compute environment)

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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.

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