Gremlin and GCP Memorystore

Test how your application handles a Memorystore outage. Run Gremlin network experiments and reliability tests to validate cache-miss handling.

Why Memorystore reliability is important

Google Cloud Memorystore instances don't necessarily persist their contents. Depending on tier and configuration, a restart or failover brings the cache back empty, and an empty cache is functionally the same as no cache at all for as long as it takes to warm up.

That warm-up window is the risk. Every request during it goes to the database, at full production traffic, until the working set is repopulated. For a large cache serving heavy read traffic, warming can take long enough that the database is under sustained pressure rather than a brief spike.

Gremlin lets you measure the window before you live through it. A blackhole experiment against the cache endpoint under realistic load sends every request to the database so you can watch what it absorbs. A latency experiment simulates a degraded node, which tells you whether your timeouts are short enough that a slow cache doesn't become a slow application.

The question isn't only whether your database survives the initial rush. It's whether it survives the entire time your cache takes to become useful again.

Building resilience on Memorystore with Gremlin

Memorystore is a dependency: a managed service that your service connects to. You can run tests by deploying the Gremlin agent or Failure Flags sidecar to a service that consumes Memorystore*. Using the experiments shown to the right, you can prepare your service for Memorystore failure modes, including:

  • Network outages making Memorystore unavailable
  • Slow performance due to network latency
  • Expiring TLS certificates
You can also run these expert-built workflows designed to replicate real-world failure modes on Memorystore:

* Testing a dependency doesn't require installing anything on it. Gremlin runs the experiment from the service that calls it, so compatibility depends on that host rather than on the dependency itself. Check our compatibility documentation for supported operating systems and platforms, or get in touch if you don't see yours.

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Learn more about Gremlin and Memorystore

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