Performance Testing

Performance & Load Testing

Your app works fine with 10 users. But what happens when 10,000 hit your checkout page on launch day? We find the answer before your users do. simulating real traffic, finding bottlenecks, and telling you exactly what to fix.

Simulate up to 100,000 concurrent users from multiple regions

Find bottlenecks in your database, API, CDN, and frontend

Spike, soak, stress, and volume test scenarios covered

Real-time Grafana dashboards during every test run

Detailed report with specific remediation recommendations

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100K

Virtual users

120ms

Target response

Years experience

0.02%

Error rate target

Why This Service

You won't know where it breaks until it breaks. unless you test first

Every app runs fine in staging. Then Black Friday hits, or you get featured on Product Hunt, or a marketing campaign drives 50x the usual traffic. and suddenly your checkout is timing out, your database is at 100% CPU, and your users are seeing error pages. You find out your app can't handle the load at the worst possible moment.

We find those breaking points before launch. Using K6 and JMeter on distributed AWS infrastructure, we simulate real traffic patterns. ramp-ups, sudden spikes, sustained load over hours. and watch exactly what happens to your response times, error rates, and server resources.

You get a detailed report showing where the bottlenecks are, why they happen, and what specifically to fix. After your team makes the changes, we re-test to confirm the improvement. No guessing. No hoping. Just data.

70%Less manual work

48hStrategy delivery

99%Avg pass rate

What's Included

Everything Included from Day One

A complete, end-to-end QA service. every deliverable, every tool, every report included.

Load Test Scenarios

Ramp-up testing. gradual user increase to peak
Spike testing. sudden traffic burst simulation
Soak/endurance testing. sustained load over time
Volume testing. large dataset performance
Breakpoint testing. find your max capacity

Monitoring & Metrics

Response time percentiles (P50, P95, P99)
Throughput and requests per second
Error rate and failure analysis
Server CPU, memory, and disk utilisation
Database query performance analysis

Bottleneck Analysis

Slow database query identification
Memory leak and GC pressure detection
CDN and asset delivery analysis
Network latency and DNS performance
Third-party API response time impact

Dashboards & Visualisation

Grafana real-time dashboards during test runs
Datadog / New Relic integration available
Historical performance trend comparison
Geographic load distribution reports

Report & Remediation

Detailed PDF performance audit report
Bottleneck identification with specific file/query references
Infrastructure scaling recommendations
Caching and optimisation suggestions
Re-test after fixes to validate improvement

CI/CD Performance Gates

Baseline performance profile establishment
Automated performance regression detection
PR-level performance check integration
Alert thresholds for response time regression

Our Approach

How We Actually Work

No black box. Here's exactly what happens from the first call to a fully running test suite. and what you get at each stage.

We define what "fast enough" means for you

What response time is acceptable? How many concurrent users do you need to handle? What's the error rate threshold? We set clear performance SLAs before writing a single test.

We design load profiles that match reality

We don't just throw random traffic at your app. We model realistic patterns based on your actual analytics. peak times, geographic distribution, user behaviour, and worst-case scenarios.

We set up the test infrastructure

K6 or JMeter running on distributed AWS instances, Grafana dashboards for real-time monitoring, and a test environment configured to mirror production as closely as possible.

We run the baseline and find what's already slow

The first test establishes your current performance baseline. This often reveals bottlenecks you didn't know existed. slow queries, memory leaks, unoptimised API calls.

We push it until it breaks

Spike tests, stress tests, soak tests. We find your application's breaking point, test how it recovers, and validate whether your auto-scaling actually works under real pressure.

You get a report, fix it, we re-test

Every bottleneck documented with specific file/query references, resource utilisation graphs, and remediation recommendations. After your team fixes the issues, we run the tests again to verify the improvement.

Technology Stack

Tools and Frameworks We Use

Tool-agnostic by design. we select the best technology for your specific stack and workflow.

Modern load testing. JavaScript-based, CI/CD native

JMeter

Enterprise load testing for complex scenarios and protocols

Locust

Python-based load testing for scalable user simulations

Grafana

Real-time performance metrics and dashboards

Datadog

APM, infrastructure monitoring, and alerting

AWS / Azure

Distributed cloud load generation at global scale

BlazeMeter

Geographic distributed load generation platform

Python

Custom load scenario scripting and result analysis

GitHub Actions

Performance regression gates on every PR

Jenkins

Scheduled load test runs in enterprise CI/CD

New Relic

Application performance monitoring and bottleneck detection

Prometheus

Metrics collection and alerting for load test results

Test Coverage

Every Layer, Every Flow

Comprehensive coverage across UI, API, data, and security layers. nothing gets missed.

Web Application Load

Frontend, API, CDN performance

API Throughput

Requests per second, latency

Database Performance

Query time, connection pooling

Mobile API Performance

Mobile-specific traffic patterns

Cloud Infrastructure

Auto-scaling, CDN, load balancers

Auth Under Load

Background Jobs

Queue processing, batch jobs

Global Performance

Multi-region latency and CDN

Microservice Performance

Inter-service call latency

Why It Matters

Real Impact from Sprint One

Measurable outcomes your engineering team and business will feel immediately.

Launch Confidence

Know your app handles peak traffic before launch day. no surprises under real load.

Prevent Revenue Loss

Slow apps lose customers. Identify and fix performance issues before they cost you conversions.

Data-Driven Decisions

Detailed metrics guide infrastructure scaling decisions. spend money where it actually helps.

Root Cause Analysis

We don't just find bottlenecks. we identify the root cause and recommend specific fixes.

CI/CD Integration

Performance baselines enforced on every deployment. catch regressions before they reach prod.

Global Load Testing

Simulate users from multiple geographic regions. test CDN performance and latency worldwide.

FAQ

Got questions?

Here are the ones we get asked most. If yours isn't here, just ask. we're happy to talk it through.

Want to talk through your specific setup?

We'll walk you through how this works for your stack, team size, and release cadence. zero commitment.

Book a Free Consultancy Call

Free 30-min call

Strategy in 48h

No commitment

01How many users can you actually simulate?

Up to 100,000 concurrent virtual users using K6 and JMeter on distributed AWS infrastructure. The practical limit depends on your app's architecture and what we're trying to measure.

02What kinds of load tests do you run?

03How long does this take?

04Do you test the API layer, the frontend, or both?

05What exactly do we get in the report?

Ready to get started?

Get a tailored QA strategy in 48 hours. we review your stack, identify gaps, and propose a clear testing roadmap.