// Continuous Performance Engineering Services
// Performance Engineering. Continuous, Not Occasional.
Run-Once Risk
A one-time load test before launch leaves you blind to the performance drift every release after it introduces.
Synthetic-Only Blindspot
Simulated load doesn't replicate real user behavior, cache states, or geographic distribution.
Missing Baselines
Without a documented baseline, you can't prove regression, or improvement, on your next release.
Our continuous performance engineering embeds validation into every release, not just the one before launch.
// Performance Engineering Services, By Layer
Load & Stress Testing
Multi-user load simulation and ramp-up profiling under realistic traffic conditions, with JMeter, k6, and Gatling.
API Performance Testing
REST, GraphQL, and gRPC endpoint profiling with response time SLA validation.
Frontend Performance
Core Web Vitals and client-side rendering measured with Lighthouse CI, correlated against backend response time.
Performance in CI/CD
Automated validation on every commit, with threshold enforcement that gates the merge, not just flags it.
// Tools & Integrations
// Deliverables, Not Just a Load Test Report
Performance Baseline & SLAs
Documented response time, throughput, and error rate targets for every critical journey.
Realistic Load Model
A load model built from your actual production analytics, not a generic traffic guess.
CI/CD Performance Gates
Automated gates that block a release the moment a threshold is breached.
Regression Analysis Reports
Every release compared to baseline, with root cause analysis on any degraded endpoint.
// Performance That Doesn't Regress. Ever.
// Latest Articles.
// Questions, Answered.
Who is Continuous Performance Engineering built for?
It's built for teams whose load tests run once at launch and never again; teams that need performance gates blocking CI/CD merges, not just dashboards; teams needing frontend and backend performance correlated end to end; and teams tracking SLAs per critical user journey, not just system-wide averages.
How is continuous performance engineering different from periodic load testing?
Periodic load testing is a checkpoint before release. Continuous performance engineering embeds validation into every release cycle, tracking baselines automatically and blocking deployment when a regression is detected.
What do you use to set performance baselines?
We profile your application under realistic load, analyze production metrics, and set SLAs for response time, throughput, and error rate, accounting for seasonal traffic and infrastructure scaling.
Can you integrate performance tests into our existing CI/CD pipeline?
Yes. We integrate k6, JMeter, and Lighthouse CI into your pipeline with performance gates that block merges when thresholds are breached, and connect reporting to your APM tools.
Do you test frontend performance separately from backend performance?
Yes. We profile Core Web Vitals independently and correlate them with backend API response time, so you know whether slowness comes from the client, the network, or the backend.