Upcoming Launches & Campaigns
Check performance before major launches, upgrades and high-traffic campaigns.
Find slow response times, system bottlenecks and breaking points before they affect users. Test applications under realistic workloads.
Book a Free Performance ConsultationOur performance testing process
Check performance before major launches, upgrades and high-traffic campaigns.
Identify slowdowns as applications and services move to new infrastructure.
Find bottlenecks across critical pages and customer journeys.
Measure delays, errors and resource limits in connected services.
Assess whether the system can scale with users and transactions.
Prepare for flash sales, enrollment periods and sudden demand.
Assess speed, stability and scalability under expected, extreme and sustained application demand.
01
Test expected user traffic.
Measure response times, throughput and errors at normal and peak usage levels.
Explore Load Testing02
Find breaking points and recovery.
Push systems beyond expected capacity to assess failure behavior and recovery.
Explore Stress Testing03
Prepare for sudden traffic.
Simulate sharp demand increases and evaluate stability during traffic spikes.
Explore Spike Testing04
Check long-running stability.
Run sustained workloads to uncover memory leaks and gradual degradation.
Explore Soak Testing05
Validate growing data volumes.
Assess performance with large datasets, transaction counts and data transfers.
Explore Volume Testing06
Plan for business growth.
Measure how performance changes as traffic and available resources increase.
Discuss Scalability TestingAI & Continuous Performance QA
Combine expert analysis with automated workload checks across APIs, cloud platforms and AI-enabled applications.
Use repeatable tests and monitoring to detect slowdowns, analyze bottlenecks and prioritize tuning work.
Automation surfaces changes. Engineers validate performance risks.
From workload planning to measured results and practical tuning advice.
Define performance targets, realistic scenarios and testing priorities.
Agree on expected traffic, service levels and performance thresholds.
Build workload models, prepare data and configure monitoring tools.
Execute load scenarios and record response times, errors and utilization.
Analyze results, prioritize bottlenecks and retest after tuning.
See how systems respond under load and make data-backed release decisions.
Locate response-time bottlenecks.
Measure throughput under expected demand.
Check stability under peaks and sustained load.
Review metrics, graphs and thresholds.
Prioritize fixes and compare results.
Know Where Your Application Slows Down
Book a Free ConsultationMeasure workloads that matter to your business and its users.
Test transactions, digital banking and high-volume API requests.
Assess patient portals, bookings and critical digital services.
Check customer platforms and billing during peak demand.
Test product search, cart and checkout under sale traffic.
Validate application response times, throughput and scalability.
Choose load and monitoring tools to fit your app and workload.
Build scenarios from user journeys, traffic patterns and business forecasts.
Assess speed, stability and bottlenecks across agreed workload levels.
Explore Performance CoverageGet metrics, bottleneck findings and prioritized tuning recommendations.
Choose focused assessments, recurring checks or dedicated QA support.
Explore Engagement OptionsTesting that fits your release cycle.
TMMI LEVEL 5
ISO 27001
200+ ISTQB ENGINEERS
Process Excellence
Security and CompliancePerformance testing measures application speed, stability, throughput, errors and resource use under defined workloads.
Load testing evaluates expected traffic. Stress testing goes beyond expected capacity to find breaking points and recovery behavior.
Spike testing checks sudden traffic changes. Soak testing checks stability during long-running workloads.
Test during development, before releases, after major changes and ahead of anticipated traffic peaks.
Set concurrent users and transaction rates using traffic data, forecasts and business targets.
Yes. Assess latency, throughput and errors under concurrent API requests and service interactions.
Tool choice depends on architecture and load scenarios. Confirm Kualitatem’s current supported stack before engagement.
Targeted repeatable tests may run in CI/CD; larger tests are usually planned in production-like environments.
Timing and cost depend on complexity, traffic volume, environments, monitoring and retesting scope.
Outputs may include workload models, result charts, bottleneck analysis, recommendations and retest evidence.
Our experts are all ready. Explain your business needs, and we’ll provide you with the best solutions. With them, you’ll have a success story of your own.
Contact us now and let us know how we can assist.