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Temporal Stabilization and Testing

1 post · Aug 2020 – Sep 2020

What this trail covers

This thread tracks the ongoing stabilization and testing efforts for the Temporal platform, focusing on improving deployment infrastructure, completing test scenarios (both non-failure and failure-based), and identifying/fixing bugs. The goal is to ensure the reliability and robustness of Temporal releases. Initial work on fault-injection testing and dedicated Cassandra clusters are key components of this effort. The JavaSDK rewrite is complete and released, and the team is now fully focused on stabilization.

All Temporal trails
  1. Temporal Transparency Update #7This post details the progress made in Temporal's stabilization effort, specifically focusing on improvements to deployment infrastructure (dedicated Cassandra cluster, isolation of Cassandra from Temporal server for performance testing), completion of non-failure bench scenarios, initial implementation of failure scenarios (driven by bash/kubectl, integration with Gremlin pending), and validation of component failure/resumption tests. It also notes a decreasing trend in newly discovered bugs, indicating successful stabilization.
  2. Temporal Transparency Update #6This post details the completion of the JavaSDK rewrite and its release, making the team code complete. The focus has shifted entirely to stabilization, with a refined approach to testing: deployment infrastructure, code completion for tests, and identifying/fixing problems discovered by tests. The team is evaluating Gremlin for failure testing and has been working on Java-specific tests in parallel with the SDK rewrite, which had never been tested before in Temporal or Cadence.
  3. Temporal Transparency Update #5This post details the progress on JavaSDK bug fixes and refactoring, with a PR submitted for review. It also announces a shift in team focus towards stabilization, emphasizing backwards compatibility for Go SDK and service gRPC definitions, as well as schema compatibility for Cassandra and MySQL. Key stabilization areas include automating deployment infrastructure with Concourse CI/CD, scale testing, and failure testing to ensure system resilience and workflow progress during failures. The post also outlines epics for V1 stabilization and provides links to visualization pipelines.