Service · Performance

Performance Testing
Built for Peak Demand

Validate how your application behaves under real-world load conditions — before users do. From stress tests to capacity planning, Ebirasat ensures your platform never breaks at the wrong moment.

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<2sTarget Response Time
10K+Concurrent Users Simulated
100%Bottleneck Identification
Test Coverage

Types of Performance Testing We Offer

Each test type answers a different question about your system's behaviour under pressure.

⚖️

Load Testing

Simulate expected user volumes to verify the system performs within acceptable response time thresholds.

🔥

Stress Testing

Push beyond designed capacity to find the breaking point and observe failure behaviour and recovery.

📈

Scalability Testing

Verify that your system scales horizontally and vertically to handle traffic growth as demand increases.

⏱️

Endurance / Soak Testing

Run sustained load over extended periods to detect memory leaks, resource exhaustion, and degradation.

Spike Testing

Simulate sudden, extreme traffic spikes — flash sales, launch events — to validate auto-scaling and resilience.

🔁

Concurrency Testing

Evaluate system behaviour when many users access the same resource simultaneously.

KPIs We Track

Performance Metrics We Monitor

Comprehensive instrumentation across application, infrastructure, and network layers.

TPS

Transactions/Second

Throughput under varying user loads.

P95

Response Time Percentiles

P50, P90, P95, P99 latency distribution.

CPU %

Resource Utilisation

CPU, memory, I/O, and network under load.

TTFB

Time to First Byte

Server responsiveness from initial request.

ER

Error Rate

HTTP errors and exceptions per second.

Apdex

User Satisfaction Score

Aggregated performance from a user perspective.

Methodology

How We Conduct Performance Testing

A rigorous, data-driven process from baseline definition to optimisation recommendations.

1

Performance Goal Definition

Establish SLAs, baseline metrics, and acceptable thresholds in collaboration with your team.

2

Environment Configuration

Set up production-like environments with monitoring agents, profiling tools, and APM instrumentation.

3

Workload Model Design

Create realistic virtual user scripts that mirror actual user journeys and access patterns.

4

Test Execution & Monitoring

Execute tests while collecting real-time metrics across app, database, and infrastructure layers.

5

Bottleneck Analysis

Deep-dive into profiling data to identify CPU hot spots, slow queries, memory leaks, and I/O waits.

6

Tuning & Re-test

Validate optimisations through re-test cycles until performance targets are met or risk-accepted.

Tools & Stack

Performance Testing Tools We Use

From open-source powerhouses to enterprise APM solutions — we bring the right arsenal.

Apache JMeterGatling k6Locust BlazeMeterNew Relic DynatraceAppDynamics GrafanaInfluxDB PrometheusAWS CloudWatch Azure Load TestingNmon / top
What You Get

Deliverables & Outcomes

Actionable reports with concrete optimisation paths — not just graphs and numbers.

📈

Performance Baseline Report

Documented baseline metrics serving as the reference point for all future testing cycles.

🎯

Bottleneck Analysis

Prioritised list of performance issues with root-cause diagnosis and severity ratings.

📊

Load Test Dashboards

Real-time and post-run dashboards showing throughput, latency, errors, and resource data.

🔧

Tuning Recommendations

Specific, actionable recommendations for code, database, infrastructure, and configuration fixes.

📋

Capacity Planning Report

Projected user capacity thresholds and infrastructure scaling recommendations for future growth.

Performance Sign-off

Official sign-off documentation confirming the system meets agreed SLAs, suitable for stakeholders.

Don't let performance kill your launch.

Get expert performance testing before your application goes live — contact us for a free scoping call.

Schedule a Performance Audit