CI/CD optimization

CI/CD optimization for teams who wait on a build, a test, or a performance verdict.

I take on CI/CD optimization for .NET teams of about 15 developers or more. The brief is the wait: queue time, a build that will not finish, tests that fail for reasons nobody owns, and performance tests that do not come back in time to change a decision. Compute cost belongs to the same loop. Flaky tests are not a separate service. They spend queue time on failures the team cannot trust. As a CI/CD consultant I keep the same tests in the verdict, and I measure the wait before I change it.

If the wait we agree to measure does not get shorter, you do not pay.

Start the conversation

That starts with a conversation about whether I can help, and whether you will give me access, time and the people who own the pipeline. Without that, I do not start.

What the engagement covers

  • Wait time

    Where developers sit idle: compilation, the CI queue, analyzers, and the gap between push and a verdict they can trust. Software delivery performance, on this engagement, is that gap getting shorter.

  • Compute cost

    Runners, repeated work and suites that burn CPU without changing a decision. I cut the waste the baseline shows.

  • Flaky tests

    Unstable tests stay inside this engagement. I isolate flakes and parallelize suites so the team will actually run them. I do not sell a separate testing practice.

  • Performance tests

    A slow performance run stays inside this engagement, including the profiling that shows why it is slow. I do not sell profiling as a separate practice. The run has to finish in time for the result to change a decision.

  • A loop they keep

    A written trail of what changed and why. I do not stay as the permanent pipeline owner.

If the wait is the .NET compile itself — MSBuild, the project graph, or disk I/O — that work is on .NET build performance. This engagement is the CI/CD loop around that build.

Process

Measure the wait. Then cut it.

  1. Whether I can help

    A short conversation. If the bottleneck is not the pipeline, or you cannot give me access, time and the people who own it, I do not start.

  2. Baseline

    I measure duration, queue time, flakes and compute from your CI and your runners, with Codebase Pulse. The software engineering metrics are the wait and a verdict that still runs the same tests. Measuring developer productivity means measuring that wait, not scoring people. Codebase Pulse is the baseline, not a code audit.

  3. Cut what pays back

    Pipeline optimization techniques follow the baseline: cache, split, parallelize, right-size, fix flakes, and drop work that does not change a decision.

  4. Leave it with the team

    The point is that you do not need me for the next green build.