// endurance testing services
Endurance Testing Services
QACraft's endurance (soak) testing services run sustained load for hours to catch memory leaks, resource exhaustion and performance degradation before your users do — the slow problems a short test never sees.
what it is
What Is Endurance Testing?
Endurance testing — also known as soak testing — runs a steady, realistic load on your system for a long stretch (hours or days) to surface the problems that only appear over time. A system can pass every short test and still fall over after three days of uptime, because a memory leak, a draining connection pool or slow fragmentation has been quietly building the whole time. Endurance testing is the marathon that catches those before your users do.
QACraft's endurance testing services hold sustained load while watching the long-run trends — memory, handles, latency drift, resource usage — with k6, JMeter and Gatling and full observability, so a slow creep is flagged and traced to its source the moment it starts.
This is the long-duration discipline. Its siblings handle short windows: load testing for expected peak, stress testing for the breaking point, scalability testing for growth. All sit under our performance testing pillar.
our services
Our Endurance Testing Services
We run your system the way the real world does — continuously — and watch the signals that only move over time. Most engagements combine several of the services below.
Hold a realistic, steady load for hours or days to prove the system stays healthy under continuous use, not just at startup.
Watch memory across the full run and isolate a genuine leak — memory that climbs and is never reclaimed — from normal usage.
Surface draining connection pools, leaked file handles, thread growth and disk/log bloat before they exhaust and crash a service.
Detect the slow latency drift and throughput decay that a short test never runs long enough to reveal.
Prove an always-on system can sustain 24/7 operation without restarts — confidence for systems that cannot go down.
Continuous monitoring across the soak so any anomaly is caught early and traced to its source, not found in a post-mortem.
Flexible engagement models
A fixed-duration soak before a major release or for a critical always-on system, with a clear stability verdict and any leak diagnosed.
Recurring soak runs embedded in your release cycle, catching slow regressions before they reach production uptime.
Performance engineers who run and analyse your soak tests under your leadership — scaled monthly.
tools & frameworks
Tools & Frameworks We Use
Tool choice is decided in Phase 1, against your stack and uptime profile — never by default. Soak work pairs sustained load with long-run resource observability:
Scriptable sustained-load profiles — our default for modern soak runs.
The mature, protocol-rich standard for long-duration enterprise soaks.
High-performance, code-based load held steady over hours.
Python-based, scalable generation for custom sustained workloads.
Long-run dashboards where a slow memory/handle creep becomes visible.
APM and resource tracing across the full soak duration.
Pinpoint a leak to the object and code path that holds it.
Connection pools, file handles, threads and disk watched over time.
why automate
Why Endurance Testing Matters
The bug that survives every short test and then takes production down at 3am on day three is almost always a slow one — a leak, a drain, a creep. Endurance testing is the only kind that runs long enough to catch it. Here is what it changes:
Memory leaks and resource drains are found in a controlled soak, not in a production crash after days of uptime.
Demonstrate your always-on system can sustain continuous operation without restarts or degradation.
Connection pools, file handles, threads and disk that slowly run out are surfaced before they take a service down.
Detect the gradual latency and throughput decay that erodes the experience long before anyone files a ticket.
For systems that simply cannot go down, a soak is the evidence that they will not.
The whole category of time-dependent failures is invisible to load and stress runs — only a soak reveals them.
our process
Our Endurance Testing Process
Every engagement follows the same disciplined path — and produces a concrete artifact at the end of each phase, so you always know exactly what you are getting.
Define Duration & Monitors
We agree the soak duration (hours to days) and the long-run signals to watch — memory, connection pools, file handles, threads, disk and latency drift.
→ artifact: soak plan + monitoring checklistScript & Instrument
We script a realistic, sustained load profile and wire in observability and resource profiling, so a slow drift over hours is visible the moment it starts.
→ artifact: soak scripts + resource monitorsRun the Marathon
We hold steady load for the full duration and watch the long-run trends — the lines that stay flat in a 10-minute test but creep over 8 hours.
→ artifact: full-duration trend dataDiagnose & Report
We pinpoint any leak or exhaustion to its source, quantify the degradation, and report with the evidence and a fix — before it ever reaches production uptime.
→ artifact: leak/exhaustion diagnosis + fixSee an 8-hour soak
A sample 8-hour soak — throughput holding steady while a memory line slowly creeps up over the run, until the test flags it: memory leak detected at hour 6.
over the long run
Long-Run Observability & Trend Analysis
The signal in a soak test is a trend, not a single number — a line that drifts a little each hour until it matters. Catching it is about long-run observability, not a pass/fail at the end.
We monitor memory, handles, latency and resource usage continuously in Grafana, Prometheus and Datadog, use trend analysis to separate a genuine leak from normal variation, and trace any creep to its source with profiling — so you get the cause, not just 'it got slower'. See our performance testing pillar for the full engineering picture.
industries
Industries We Serve
We provide endurance testing for teams running always-on systems, where stability over days — not just speed in a demo — is the requirement.
why us
Why Choose QACraft for Endurance Testing
Teams choose QACraft when they want performance engineers who own outcomes — not a body shop billing hours.
Genuine hours-to-days soaks — long enough for slow trends to surface — not a short test relabelled as endurance.
We watch the specific signals — memory, handles, pools — that reveal the time-dependent failures soaks exist to catch.
Continuous long-run monitoring so a slow creep is caught early and traced to its source, not found in a post-mortem.
We trace a leak to the object and code path that holds it — so you get a fix, not just a worrying graph.
All soak scripts, dashboards and monitors live in your repository from day one. No black boxes, no lock-in.
Endurance connects to load, stress and broader performance testing under one team — joined-up, not stitched together.
straight answers
Frequently Asked Questions
What is endurance (soak) testing?
Endurance testing — also called soak testing — runs a sustained, realistic load on your system for a long period (hours or days) to find problems that only emerge over time: memory leaks, resource exhaustion, connection-pool drain and gradual performance degradation. It is the marathon that proves your system can stay up, not just start fast.
How is it different from load and stress testing?
Load and stress testing are relatively short — minutes to an hour — checking peak and breaking point. Endurance testing is about duration: the same steady load held for hours or days. Many of the worst production incidents — a leak that crashes a service after a few days of uptime — are invisible to short tests and only a soak reveals.
How long do soak tests run?
It depends on your release and uptime profile — commonly 8 to 24 hours, sometimes several days for always-on systems. The duration is set to be long enough for slow trends (memory, handles, fragmentation) to become visible, agreed in Phase 1.
What problems does endurance testing catch?
Memory leaks, resource exhaustion (connection pools, file handles, threads, disk), gradual performance degradation, fragmentation, log/temp-file growth, and slow data-store bloat — the failures that build up under sustained use and eventually take a system down.
Do you detect memory leaks specifically?
Yes — it is one of the core reasons to soak. We watch memory across the full run, distinguish a genuine leak (memory that climbs and is never reclaimed) from normal load-driven usage, and trace it to the source with profiling and APM so it can be fixed.
Which tools do you use?
k6, JMeter, Gatling and Locust to sustain the load, with Grafana, Prometheus and Datadog plus memory/heap profilers to watch long-run resource trends. The combination is chosen against your stack in Phase 1.
Ready to prove it lasts?
Build your plan in 60 seconds — or bring your always-on system to a 30-minute call and leave with a soak plan and a single number.