Refactor e2e tests to consolidate setup steps and improve CI efficiency#4445
Draft
Refactor e2e tests to consolidate setup steps and improve CI efficiency#4445
Conversation
- Parallelize kubectl wait commands in verify_odigos_installation.sh (5 sequential waits now run concurrently) - Create common helper scripts (generate_traffic_and_wait.sh, wait_for_trace_query.sh) to consolidate duplicate traffic/trace patterns across 7+ test files - Combine independent Chainsaw test steps across all 16 E2E tests (merge setup applies, merge independent asserts, merge instrument+ destination steps) to reduce step overhead - Add Docker Buildx with GHA layer caching for image builds - Pre-pull and pre-load common test images (simple-demo, trace-db, nginx, curl) into Kind to avoid network pulls during test execution - Parallelize Kind image loading (odigos-images.tar + cli-image.tar) https://claude.ai/code/session_01H7XmiyRPeZLthTgE6kMaRE
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
No description provided.