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CI timeouts: Cache expiry causes scheduled failures, not random flakes

By PulseAugur Editorial · [1 sources] ·

A continuous integration (CI) job experienced a timeout because its cache expired after seven days, forcing it to re-run from scratch. This initial run, which took 311 seconds against a 300-second budget, populated the cache. A subsequent re-run passed quickly by utilizing the cache, masking the underlying issue of an insufficient timeout setting. The author suggests three questions to distinguish true CI flakes from apparent ones: verify if the work completed, identify differences between runs (like cache status), and compare the duration against the budget to detect scheduled outages. AI

IMPACT Improved CI/CD practices can accelerate AI development cycles by reducing wasted time on false failures.

RANK_REASON The article discusses a specific CI/CD tooling issue and offers a solution, along with promoting a related product.

Read on dev.to — MCP tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

CI timeouts: Cache expiry causes scheduled failures, not random flakes

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The article discusses a specific CI/CD tooling issue and offers a solution, along with promoting a related product.
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45 days old
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Heinrich Neb ·

    Your CI is not flaky. Your cache expires every seven days.

    <p><em>CI timeouts</em></p> <p>A pull request that changed one blog page turned the build red. The lint job it broke had found zero problems. Someone re-ran it, it passed, and everyone moved on.</p> <h2> Zero issues, and red anyway </h2> <p>The log said two things that should nev…

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