/ 01
Before a launch, campaign or growth event
Validate critical journeys against an agreed traffic model before demand becomes a customer and revenue risk.
Load Testing for Web Applications, APIs and SaaS Platforms
Realistic scenarios · system telemetry · repeatable results
When to run a load test
/ 02
When latency or errors keep returning
Correlate response times and failures with application, database, queue, infrastructure and dependency telemetry.
/ 03
After migration or infrastructure change
Compare capacity and failure behavior before and after a platform, database, provider or cloud change.
/ 04
When capacity or service targets need evidence
Establish a repeatable baseline and identify the conditions under which latency, errors or saturation exceed agreed thresholds.
Choose the test that answers the decision
Load testing checks expected sustained demand. Stress testing explores behavior beyond the target. Spike testing applies sudden change. Endurance testing reveals degradation over time. Capacity testing finds an evidence-based operating boundary. API testing isolates service workflows. The final mix follows the business question.
Prerequisites and safety boundaries
A safe engagement needs an approved environment, representative data, known rate limits, coordinated third-party providers, system telemetry and agreed stop conditions. We do not run disruptive or high-volume tests against production without explicit written authorization, a reviewed plan and operational safeguards.
What we measure
We measure throughput, latency percentiles, error rate, concurrency and saturation alongside CPU, memory, connections, database queries and locks, queue depth, external dependency behavior and recovery after load. A user count has meaning only together with journeys, pacing, data, duration and environment.
What you receive
You receive the workload and scenario model, reusable scripts, environment and data assumptions, baseline results, bottleneck evidence connected to telemetry, prioritized recommendations and a comparison after agreed fixes are retested. Results state their tested boundaries and do not promise capacity outside them.
How a load-testing engagement works
- /01Scope and modelDefine the business decision, critical journeys, workload mix, pacing, duration, thresholds, environment and test boundaries.
- /02Prepare safelyCreate scripts and data, verify telemetry, coordinate providers, run smoke checks and agree stop and recovery conditions.
- /03Execute and analyzeRun controlled test stages and correlate client results with application, data, queue, dependency and infrastructure evidence.
- /04Prioritize and retestRecommend changes by impact and evidence, then rerun the agreed scenario to compare results within the same boundaries.
From evidence to improvement
Your team may implement the recommendations, or GARNO.TECH can support a separate product scaling initiative, NestJS backend improvement or Azure architecture change. Implementation is optional and scoped separately.
Can you test production?
Can you test production?
Which load-testing tools do you use?
Which load-testing tools do you use?
How long does a load test take?
How long does a load test take?
Can you confirm how many users our system supports?
Can you confirm how many users our system supports?
Can third-party services be included?
Can third-party services be included?
What deliverables do we receive?
What deliverables do we receive?
Start with your expected traffic and critical user journey
Tell us which journey matters, what traffic you expect, which environment is available and what decision the test must support. We will define the smallest responsible test scope.