Leading Multiplex Cinema Chain
300K
Peak Concurrent Users
95%
P95 Latency Drop
22.2K/s
Peak Throughput
99.98%
10× Load Reliability
Software Engineering · Performance & Load Testing Services
Performance testing that protects revenue.
Hire performance testers for load testing services with JMeter, k6, and Gatling. Our stress testing services include scalability testing and API performance benchmarking — know your limits before your users find them.
Load testing
Stress testing
Scalability testing
API performance testing
Performance baselines
CI/CD performance gates
50K+
Virtual users simulated
Concurrent user loads validated for enterprise applications.
$2M+
Revenue protected
Performance testing that prevented a Black Friday outage.
3
Tools mastered
JMeter, k6, and Gatling — the right tool for every scenario.
CI/CD
Continuous perf testing
Performance regression detection in every deployment.
Why MetaDesign
Performance testing services experts who find bottlenecks.
JMeter testing, k6, Gatling — performance testing services done right.
Teams shipping with MetaDesign
Selected work
Case studies.
Leading FinTech Platform
800+
Automated Tests
45 mins
Regression Cycle
Zero
Prod Escapes
100%
CI/CD Integration
LOAD.
STRESS.
BENCHMARK.
OPTIMISE.
Load Testing
Simulate expected user loads to validate response times and throughput under normal conditions.
Stress Testing
Gatling load testing to push beyond expected load, find breaking points, and understand degradation patterns.
Scalability Testing
Gatling load testing to validate auto-scaling behaviour and determine capacity planning requirements.
API Performance
Benchmark REST and GraphQL API response times, throughput, and error rates under load.
Our Approach
Performance & Load Testing Services: Our Proven Process
01
Plan
Define SLAs, user profiles, load models, and test scenarios.
02
Script
Create realistic load scripts with JMeter, k6, or Gatling.
03
Execute
Ramp-up load testing, stress testing, and endurance testing.
04
Analyse
Response times, throughput, error rates, and infrastructure metrics.
05
Optimise
Bottleneck identification, remediation guidance, and retest validation.
01
Plan
Define SLAs, user profiles, load models, and test scenarios.
02
Script
Create realistic load scripts with JMeter, k6, or Gatling.
03
Execute
Ramp-up load testing, stress testing, and endurance testing.
04
Analyse
Response times, throughput, error rates, and infrastructure metrics.
05
Optimise
Bottleneck identification, remediation guidance, and retest validation.
Customer Value
Six places it pays back
in the first sprint.
Real outcomes our clients report within the first engagement cycle.
Faster time-to-market
Production-ready teams that ship from week one — no ramp-up lag.
Reduced technical risk
Architecture reviews, code audits, and security scans baked into every sprint.
Measurable velocity
Cycle time, PR throughput, and defect density tracked from day one.
Cost predictability
Fixed-price or capped T&M — no surprise invoices, ever.
Continuous improvement
Retros, post-mortems, and process refinement every sprint.
Knowledge transfer
Your team grows. Documentation, pair programming, and workshops included.
By the numbers
400+
Engineers worldwide
200+
Active clients
20yr
Pure-play software
94%
Client retention
Engagement models
Three ways to work with our Performance & Load Testing team.
Pick the shape that matches your risk and timeline. We will tell you which one is wrong for your situation — even if it’s the bigger one.
Performance & Load Testing Pod
A dedicated squad of senior engineers, tech leads, and QA delivering milestone-driven results with weekly demos and eval-gated merges.
- Dedicated engineering squad
- Weekly sprint demos
- Fixed monthly cadence
- Direct technical lead communication
Hire Performance & Load Testing Engineers
Senior specialized engineers embedded into your existing team within two weeks. Your stack, your tools, your standups.
- 2-week onboarding ramp
- Time-zone aligned collaboration
- Direct Git & Jira integration
- Flexible monthly contracts
Turnkey / MVP Build
Go from requirements to production-ready launch in 6–10 weeks with fixed scope, upfront pricing, and guaranteed delivery.
- Fixed-price & fixed-scope
- End-to-end architecture & build
- Complete source code ownership
- Post-launch warranty & support
FAQ
Asked first, every time.
Don't see yours here? Send us the question — a principal engineer will reply within 24 hours.
JMeter for complex enterprise scenarios with GUI, k6 for developer-friendly JavaScript scripting and CI/CD integration, Gatling for high-throughput Scala-based testing. We recommend based on your team and use case.
Tens of thousands to hundreds of thousands — using distributed load generation across multiple machines or cloud-based load generators.
Yes. We set up performance gates in your pipeline — automated load tests that fail builds if response times exceed SLA thresholds.
Response times (p50, p95, p99), throughput (requests/sec), error rates, CPU/memory utilisation, database query times, and network latency.
We utilize cloud-based load generators (like AWS or Azure) integrated with JMeter or Gatling. This allows us to simulate massive traffic spikes originating simultaneously from North America, Europe, and Asia to mimic true global user behavior.
Yes, we architect distributed JMeter master-slave configurations across scalable Kubernetes clusters, generating extreme concurrent loads to identify the exact breaking point (stress testing) of your enterprise infrastructure.
We utilize k6 for long-duration Endurance (Soak) Testing. We apply a steady, moderate load over 24-48 hours while closely monitoring the server's APM tools (Datadog/New Relic) to identify slow, insidious memory leaks or database connection exhaustion.
During the load test, we profile the database using tools like pg_stat_statements or SQL Server Profiler. We correlate the UI response times with slow-running database queries, deadlocks, and index fragmentation to pinpoint the exact bottleneck.
Absolutely. We write Gatling scripts in Scala, integrating them directly into Jenkins or GitLab CI. We define strict performance thresholds (e.g., 99th percentile response < 200ms). If the build fails the threshold, the deployment is automatically blocked.
We monitor infrastructure metrics concurrently with application metrics. If response times degrade, we analyze JVM thread dumps and CPU utilization graphs to determine if the issue is garbage collection pauses, thread starvation, or inadequate server sizing.
Hire performance testers who prevent outages.
Tell us about your project. We'll come back with a plan, a timeline, and the right team — no obligations.