Infrastructure that proves itself under pressure
Automate performance gates in your deployment pipeline. Know your infrastructure can handle traffic spikes before your users find out it can't.
Challenges you face
Surprises in production
Deployments pass all functional tests but collapse under real load — discovered only after users are affected.
No performance gates
Pipelines promote builds based on unit and integration tests alone, with no signal on latency or throughput.
Infrastructure drift
Auto-scaling configs, resource limits, and queue sizes change over time with no validation that the new setup still meets SLOs.
How perfscale helps
Pipeline integration
Trigger tests via the REST API from GitHub Actions, GitLab CI, Jenkins, or any CI system. Block deployments on threshold breaches.
Bring your own machines
Register bare metal, VMs, or containers as load generators. No managed infrastructure to pay for.
Threshold enforcement
Define SLO thresholds (p99 < 500 ms, error rate < 1%) and fail the build automatically when they're violated.
Capacity planning data
Run scheduled soak and spike tests to validate auto-scaling and understand headroom before traffic events.
Environment isolation
Separate machine pools per environment. Staging tests never bleed into production load generators.
Multi-machine distribution
Distribute load across multiple machines automatically for realistic traffic volumes.
What you get
- REST API for full pipeline automation
- Pass/fail exit codes for CI gating
- Machine pools per environment
- Soak, spike, and ramp-up scenarios
- Threshold-based build failures
- Audit trail of every test run
- No vendor lock-in on load generators
- Scheduled performance regression suites
Make performance a first-class deployment gate
Add a perfscale step to your pipeline and stop promoting untested builds.
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