Gremlin and GCP Dataproc

Test GCP Dataproc reliability with Gremlin. Simulate node failures and resource pressure to validate big-data job resilience.

Why Dataproc reliability is important

Google Cloud Dataproc encourages ephemeral clusters: spin up, run the job, tear down. Clusters get built with preemptible workers to cut costs, which means node loss during a job isn't an accident. It's the expected behavior of the configuration you chose.

Whether that's acceptable depends entirely on the job, and most teams have never measured it:

  1. A preemptible worker disappears partway through a stage.
  2. Spark recomputes the lost partitions, assuming the lineage is still available.
  3. If intermediate state was lost, the stage restarts, and your cheap capacity has quietly become a longer runtime.
  4. Total compute cost rises above what on-demand instances would have cost, and nobody connects the two.

Install the Gremlin Agent on your cluster nodes and Shutdown experiments give you the real number: how much a mid-job interruption costs this specific workload. With that in hand, preemptible capacity becomes a deliberate choice per job rather than a default applied everywhere and hoped for.

Building resilience on Dataproc with Gremlin

Dataproc is an infrastructure service, which means it supports the Gremlin agent*. This lets you run the full suite of Gremlin experiments. Using the Gremlin agent, you can find deep, infrastructure-level reliability risks in your Dataproc workloads, such as:

  • Scaling problems due to missing or misconfigured autoscaling rules
  • Processes that don't auto-recover after a crash
  • Limited redundancy on the host and network level
You can also run these expert-built workflows designed to replicate real-world failure modes on Dataproc:

* Gremlin is designed to work on any cloud platform that provides Linux or Windows hosts. We haven't individually tested every service we cover, and not all are officially supported. Check our compatibility documentation for tested operating systems and known caveats, or get in touch if you don't see yours.

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Learn more about Gremlin and Dataproc

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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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