Avg. Load Identified Pre-Launch
Our load testing services help you validate system behavior under expected peak load. Identify throughput limits and resource saturation points.
Push the system beyond capacity to identify breaking points, failure modes, and recovery behavior with our stress testing services.
Run sustained load over extended periods (8–24h) to detect memory leaks, connection pool exhaustion, and gradual degradation.
Simulate sudden traffic bursts to validate auto-scaling response time and circuit breaker effectiveness.
Measure how throughput and latency scale as infrastructure is provisioned — validate your scaling model.
Identify slow queries, N+1 patterns, and response time outliers under concurrent load with our API performance testing service.
Current perf metrics
Business-critical flows
Realistic user models
Staged ramp-up
Root cause + fix
Documented test scenarios, load profiles, acceptance thresholds, and infrastructure topology.
Parameterized, version-controlled load scripts designed for re-use across release cycles.
Detailed analysis of results by scenario, with latency percentiles, throughput, and error rates.
Prioritized list of bottlenecks with reproduction steps, infrastructure context, and fix recommendations.
Re-test confirmation after fixes are applied, with before/after comparison.
Documented performance baseline for the current release, used to detect regression in future cycles.
Not always. Load testing validates behavior under your expected peak traffic. This is the baseline most engagements start with. Stress testing pushes beyond that peak to find your breaking point, and soak testing runs a sustained load over hours or days to surface memory leaks and gradual degradation. Which types you need depends on your risk profile: a pre-launch SaaS product likely needs all three; a microservice change may only need targeted load and API profiling.
Before a major release, after significant infrastructure or architecture changes, and ahead of any event that will spike traffic (product launches, seasonal sales, year-end processing runs). Catching a bottleneck in staging costs a fraction of what it costs in a production incident. Ideally, a lightweight performance gate can also be embedded into your CI/CD pipeline so regressions are caught on every deployment, not just at release time.
At minimum: access to a staging environment that reasonably mirrors production, documentation of your critical user journeys, and your expected peak concurrency or throughput targets. If you have existing APM data or prior incident reports, those accelerate the baseline phase considerably. We scope the engagement from there. We don't need production access or weeks of onboarding before meaningful testing begins.
A focused pre-release performance testing engagement, covering test plan, script development, execution, analysis, and a remediation report, typically runs for a few weeks, depending on application complexity and the number of flows in scope. The duration may increase with more specific requirements. We can share a custom timeline based on your requirements. Reach out to us at info@technoscore.com
A Performance Test Plan documenting all test scenarios, load profiles, and acceptance thresholds. Full execution results including latency distributions (P50/P95/P99), throughput, error rates, and infrastructure utilization. A root cause analysis for any issues found, with specific, prioritized remediation recommendations, not just a list of observations. Scripts and tooling are also handed over so your team can rerun tests independently after future changes.
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