Observed Signal · Aug 7, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Quarkus CI Time Halved on GitHub Actions
A Quarkus monorepo CI pipeline on GitHub Actions was reduced from about 9–11 minutes to roughly 5 minutes 20 seconds through a sequence of CI-focused optimisations. The author identified duplicate Quarkus work (repeated augmentation and application boots) as the dominant cost and addressed it by budgeting Quarkus boots, splitting integration tests by infrastructure, skipping Quarkus production build during CI installs, running Failsafe without repackaging, migrating from LocalStack to Floci (a lighter Cognito-capable AWS emulator), and using Temurin instead of Graal where native images are not required. These changes achieved major wall-clock improvements without self-hosted runners, larger GitHub runners, or paid caching products.
Practical CI/CICD optimisations and emulator selection produced substantial developer productivity gains, offering transferable patterns for engineering teams, but this is not industry-shifting AdTech news.
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Key Takeaways & Evidence Grounding
- End-to-end workflow wall clock reduced from ~9–11 minutes to about 5 minutes 20 seconds on GitHub Actions free-tier hosted runners.
- Achieved without self-hosted runners, larger GitHub runners, or paid caching products.
- Migrated from LocalStack to Floci as the local AWS emulator; LocalStack startup (~49s) vs Floci start-and-wait (~16s).
- Using -Dquarkus.build.skip=true during CI install cut the build job from roughly 2 minutes to about 80 seconds by skipping Quarkus package-time augmentation.
- Split integration tests by infrastructure (auth + Floci vs REST + Postgres) and avoided duplicated Quarkus application boots to reduce critical-path wall-clock time.
Connected Companies & Entities
1 Entity mapped“Our Quarkus monorepo CI pipeline had plateaued at 9–11 minutes on GitHub Actions free-tier hosted runners....”
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CI/CD Pipeline: From 20-Minute to 3-Minute Builds
A TechSaaS Cloud engineering post documents how a 12-person startup reduced CI build wall-clock time from ~20.5 minutes to ~3.25 minutes (≈85% reduction) using six free, configuration- and architecture-level changes. The team (Python, TypeScript, Go microservices) on GitHub Actions and Docker cut time by applying Docker layer caching and BuildKit, parallel test sharding with pytest-split, shared dependency base images, path-based smart test selection, artifact caching for linters/type-checkers, and self-hosted runners. No paid CI tools were used. The author also covers common pitfalls (flaky tests, unpinned deps, synchronous security scans) and recommends monitoring build times (Prometheus) and future steps like Bazel/Nx and remote build caching.
12 GitHub Actions Workflows to Save DevOps Time
This article lists 12 practical GitHub Actions workflows and patterns that reduce manual DevOps toil, with copy-paste-ready examples. Key patterns include gated CI/CD that conditions deployments on passing tests, linting and static analysis as required status checks, automated stale-issue/PR triage, safe auto-merging for dependency updates, secret scanning and dependency audits, release automation with generated changelogs, Terraform plan-on-PR/apply-on-merge, coverage enforcement, scheduled migration checks and backups, scoped Slack notifications, and project-board sync. The piece emphasizes gating checks (not just reporting), preferring built-in tooling when possible, and pinning action versions to improve reliability. Publication date provided in metadata: 2026-07-19.
Dedicated macOS CI runners benchmarked faster than GitHub-hosted
This article presents a benchmark comparing dedicated macOS runners from Manzanita against GitHub-hosted macOS runners across five open-source projects. The author, who works on Manzanita, forked the projects and changed only the runner label. Results show significant speedups for simulator-heavy iOS tests and clean compiles, with up to 4.74x faster build steps. However, short jobs dominated by cache I/O could be slower, and projects requiring non-Apple toolchains or specific Xcode versions may not benefit. The article also mentions a flat monthly pricing model for dedicated runners.
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