Locust Control Plane
Load Testing Ops
A sellable Locust-based control plane for teams that keep tests in Git, S3, GCS, and local folders, with discovery, auth, selection, queueing, and scheduling from the Web UI.
Pain
What teams fight today
- Tests are scatteredScripts live across laptops, Git repos, S3 buckets, GCS buckets, and ad hoc folders.
- Private repo frictionTokens get copied into commands, docs, or shell history just to run a private test.
- Run collisionsMultiple operators manually start tests and produce noisy, overlapping results.
- All-or-nothing executionRunning one scenario often requires editing files or command lines.
Gain
What ServLoci gives back
- Source from anywhereLaunch tests directly from Git URI, S3, GCS, or local paths.
- Safe Git auth pathUse a password-style HTTPS Git token field; queued metadata masks the token.
- Discover standard foldersScan locustfiles, load_tests, performance, tests/load, tests/performance, and tests.
- Precise run scopeSelect or deselect test files and user classes before start, queue, or schedule.
5Concrete deliverables
5Core capability signals
4Delivery steps
Deliverables
What you can expect
Clear outputs that can be reviewed by engineering, product, and leadership. No vague consulting artifact.
- Locust-based Web UI with Git, S3, GCS, and local test source support
- Private HTTPS Git token authentication for discovery and execution
- Standard folder scanning for locustfiles, load_tests, performance, and tests paths
- File and user-class select/deselect workflow
- Queued and scheduled test execution from the UI
Best fit
QA teams running recurring load testsPlatform teams standardizing performance validationProduct teams needing scheduled release-load checks
Engagement Model
How we run it
A compact, outcome-led workflow designed to move from diagnosis to usable delivery quickly.
01Inventory existing Locust scripts, repositories, buckets, and operator workflows.
02Wire approved source locations and private Git authentication rules.
03Expose discovery, selection, queueing, and scheduling in a single operator UI.
04Run a pilot load test and document the operational workflow.
Ready to turn this into a working engagement?
Share your current setup, constraints, and target outcome. We will map the next practical step.