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Platform · Quality

Ship with confidence, and prove it with evidence.

Quality is built into delivery here, not bolted on after. Scorecards set the bar, your tests and analyzers run as gated pipeline steps, and resilience is something you prove before users find out. You connect the tools you already run, and IntegraCI orchestrates and gates them. The bar is something every service is measured against on every change, from the guided evaluation to a self-hosted, air-gapped install.

Scorecards

Every service gets a running grade.

Scorecards give each service a continuous read across security, delivery, reliability, and ownership. They set the bar teams clear, and the same signal nudges every team toward the current standard. You see where a service stands and exactly what it takes to clear the line.

  • Four dimensions, one grade

    Every service carries a running read across security, delivery, reliability, and ownership, so its health is legible at a glance instead of scattered across tools.

  • A bar teams can clear

    Scorecards encode the current standard as explicit checks. Each team can see what good looks like and exactly which gaps stand between them and it.

  • Evidence, not opinion

    Grades draw on the real pipeline, security, and reliability signals already flowing through the platform, so the score reflects what is true, not what was self-reported.

payments-api · scorecard grade B

security

92

delivery

88

reliability

74

ownership

100

reliability is the gap to close next

Test results normalized
  • unit 1,284 passed pass
  • integration 96 passed pass
  • performance p95 over budget block
quality gate → release denied

one failing suite holds the release

Testing in the pipeline

Your tests run as steps, and they gate the release.

Your automated, performance, and resilience tests run as governed steps in the same pipeline that ships your code, and they gate the release. Results from every framework normalize into one view, so you read pass, fail, and flake in a single place. AI-assisted test generation helps close coverage gaps, an emerging capability under active development.

  • Tests as governed steps

    Your automated, performance, and resilience tests run as ordered steps in the same pipeline that ships your code, so the result actually gates the release.

  • One normalized view

    Results from every framework land in a single view, so you read pass, fail, and flake in one place instead of reconciling separate dashboards.

  • You bring the tools

    IntegraCI orchestrates the test tools you already run and reads their results. It does not replace your frameworks with a black box.

Code quality

Gate on maintainability you can actually see.

Bring your code-quality analyzers into the pipeline and gate on signals like maintainability, coverage, and duplication. Findings normalize alongside the rest of your release evidence, so quality lives next to everything else you weigh. This is an emerging capability under active development that orchestrates the analyzers you already run.

  • Analyzers in the pipeline

    The code-quality analyzers your teams already trust run as a governed step in the same pipeline that ships the code.

  • Gate on the signals

    A release stops when maintainability, coverage, or duplication crosses the line you set, with the finding pointing at the cause.

  • Findings in one place

    Quality findings land alongside test and security results in one consistent view, so quality lives next to everything else you weigh.

Quality metrics emerging

coverage

81%

duplication

4.2%

maintainability

A

thresholds you set decide pass or block

Resilience

Prove recovery before your users find out.

Run chaos experiments through a connector such as Litmus, then gate releases on the recovery evidence. You see how a service behaves under induced failure before it ships, and each experiment leaves a record you can point to. This is an emerging capability orchestrated through a connector. IntegraCI drives the chaos tool you connect rather than injecting failures on its own.

Chaos experiment · pod-delete via Litmus

injected

kill 1 of 3 replicas

recovery time

11s · within tolerance

error budget

held

resilience gate → release allowed

release advances only on proven recovery

Make quality a gate, not a hope.

Request a demo, connect the test tools and analyzers you already run, and let the pipeline hold the line. Self-host up to air-gapped when you need to keep everything inside your own walls.