How it works

Your automation stays put.
The signal comes together.

QaCockpit adds an operational layer above the repositories, frameworks, and workflows your teams already use.

01

Model your automation sources

A Test Source describes a repository, provider, workflow, framework, result format, and artifact rules. Your tests stay where they are.

02

Create reusable execution profiles

Define safe, named inputs for a workflow and reuse them across focused runs and regression campaigns. No arbitrary shell commands enter the portal.

03

Coordinate regression campaigns

Group profiles into sequential stages with parallel execution inside each stage. QaCockpit dispatches your existing GitHub Actions workflows.

04

Ingest results and investigate

JUnit results, logs, and protected artifacts return to one run report. Expected scope, missing results, history, and failure clusters stay visible.

One campaign record

The execution story survives
the CI run.

Campaign stages, attempts, expected tests, observed results, branch, commit, environment, logs, and artifacts remain connected.

Campaign Run Report

QaCockpit campaign report showing staged execution progress, test counts, and failure clusters.

Clear responsibility boundaries

A control plane, not an execution cloud.

Your CI keeps the code, secrets, dependencies, and execution environment.

01 · Define

Your repositories

Tests, workflow YAML, upload configuration, and framework dependencies.

02 · Coordinate

QaCockpit

Sources, profiles, campaigns, permissions, expected scope, and reports.

03 · Execute

GitHub Actions

Workflow jobs run in the environment and security model you control.

04 · Return

Structured evidence

JUnit XML, metadata, attempts, logs, and authorized artifacts.

Your workflow, connected

Ready to make regression
easier to operate?

Describe your current automation landscape and we will map the first integration together.

Contact us