Is it worth switching our CI CD pipeline from Jenkins to GitHub Actions purely from a maintenance and compute cost perspective?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it worth switching our CI CD pipeline from Jenkins to GitHub Actions purely from a maintenance and compute cost perspective?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
GitHub Actions pricing hosted runners minutes included storage self-hosted runners official 2026 Google ↗
Jenkins maintenance operations controller agents upgrades plugins scaling infrastructure costs Google ↗
- Architecting for Scale · jenkins.io
- Scaling Jenkins: Central Controller vs Instance Sprawl · blog.jetbrains.com
- docs/content/billing/reference/actions-runner-pricing.md at main · github/docs · github.com
- GitHub Actions billing · docs.github.com
- Pricing changes for GitHub Actions · github.com
- Update to GitHub Actions pricing · github.blog
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
GitHub Actions pricing hosted runners minutes included storage self-hosted runners official 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 | |
Jenkins maintenance operations controller agents upgrades plugins scaling infrastructure costs OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |