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2.08 Security engineering

Performance & Load Testing

Performance and load testing based on realistic user journeys and traffic patterns, with end-to-end measurements and analysis of the components responsible for degradation.

Performance problems often appear during launches, campaigns or unexpected traffic peaks. We model expected and worst-case demand and test applications, APIs and infrastructure under controlled load.

Scenarios are built from user journeys and production traffic patterns and executed with tools such as k6, JMeter, Gatling or Locust. Instrumentation is used to trace latency and resource exhaustion to the responsible query, service, connection pool or dependency.

Deliverables include measured capacity, degradation thresholds, identified bottlenecks, reproducible test suites and recommendations for scaling and resilience.

01

How it works

  1. 01

    Scoping & modeling

    Objectives, SLAs and success criteria; analyse production traffic and target load profiles.

  2. 02

    Test design & instrumentation

    Realistic scenarios in k6/JMeter/Gatling/Locust; representative environment; metrics and tracing.

  3. 03

    Execution & analysis

    Load, stress, soak and spike runs; capture latency percentiles, throughput and error rates.

  4. 04

    Bottleneck diagnosis & reporting

    Trace failures to root cause across app, database and infrastructure with reproducible evidence.

  5. 05

    Remediation & retest

    Support fixes and tuning, then re-run to verify and set new baselines (optional).

02

Packages

Essential
Load & stress testing of a critical path with a clear baseline report.
Comprehensive Popular
Full load/stress/soak/spike suite with bottleneck diagnosis.
Enterprise
Ongoing performance engineering, observability and capacity planning.

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Helpful tools

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All services

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[email protected] +371 2256 5353

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