Performance Testing.
Stress test throughput, latency and resilience before traffic surges occur.
Performance failures rarely happen during gentle development testing—they happen during marketing launches, flash sales, and high-concurrency usage spikes. AKREVON evaluates system limits, isolates query and memory bottlenecks, and establishes concrete performance budgets.
QUALITY CAPABILITIES
Measure latency, throughput, and system limits under load.
We simulate real-world concurrency, identify database lockups and API latency spikes, and optimize response times across your stack.
Load, Stress & Spike Testing
Simulate sustained traffic, sudden multi-thousand concurrent user spikes, and prolonged soak loads using k6 and distributed load engines.
API Latency & Throughput Profiling
Measure p50, p95, and p99 response times across high-traffic endpoints, isolating slow database queries and microservice hops.
Frontend Performance & Core Web Vitals
Audit Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS) on real devices and networks.
Database Bottleneck & Lock Analysis
Analyze query execution plans, table lock contention, indexing gaps, and connection pool saturation under heavy write operations.
Resilience & Failover Validation
Chaos-engineered tests evaluating how systems behave when third-party APIs fail, cache nodes restart, or networks partition.
Continuous Performance CI Budgets
Enforce automated bundle size thresholds, latency regression gates, and Lighthouse scores directly within CI/CD pipelines.
RELEASE GOVERNANCE
Before you test performance
Four critical capacity and architecture questions to establish meaningful benchmarks.
What is our realistic target concurrency and throughput model?
Testing 100,000 simple ping requests does not reflect real load. A meaningful model calculates actual active sessions, realistic think times (e.g. 5–15 seconds between clicks), read-to-write ratios, and critical checkout conversion paths.
Is the test environment truly representative of production?
Testing against a small single-core test database gives completely misleading data. The performance environment must mirror production database sizing, network topologies, caching layers, and connection pooling configurations.
What are our acceptable latency percentiles (p95 and p99)?
A system with an average latency of 200ms can still have 5% of its users waiting 8 seconds. We define performance success by tail latency: p95 under 300ms, p99 under 800ms, and zero 5xx error responses under target load.
Where will the application fail first when traffic exceeds limits?
Every system has a bottleneck: database connection pools, memory leaks, Redis bandwidth, or third-party webhooks. We test until the system breaks to document the exact breaking point and implement graceful degradation.
DELIVERY LIFECYCLE
How We Validate Performance
A scientific, reproducible approach to stress testing and performance tuning.
Traffic Modeling & Baseline Audits
We analyze current analytics, define peak concurrency scenarios, and establish baseline performance benchmarks.
Load Script Authoring & Test Bed
We author distributed k6 test scripts with realistic authentication, data variations, and monitoring probes.
Execution, Profiling & Bottleneck Isolation
We execute load, stress, and soak tests while capturing real-time CPU, memory, database query, and network telemetry.
Tuning, Retesting & CI Budgets
We collaborate with engineers to apply database indexes, caching, and pooling fixes, then re-test and lock in CI performance budgets.
Why Performance Matters to Product Success
Every 100ms of latency reduction directly improves conversion, user retention, and search engine visibility.
Direct Conversion Rate Impact
Faster applications convert significantly more users. Eliminating checkout lag and sluggish form submissions preserves immediate revenue.
Infrastructure Cost Optimization
Optimized queries and efficient caching allow you to handle 5x the traffic on your existing cloud footprint without over-provisioning.
Guaranteed Launch Day Stability
Eliminate the fear of high-stakes marketing campaigns, product launches, or press coverage crashing your servers when it matters most.
ENGINEERING ADVANTAGE
Why AKREVON for Performance Testing
Full-stack performance engineers who understand database internals, network protocols, and frontend runtimes.
Scientific Workload Modeling
We reject blunt HTTP flood tests, authoring realistic user journeys that model actual database reads, writes, and session states.
Actionable Root-Cause Guidance
We do not just hand over a graph showing that an endpoint is slow; we inspect slow queries, explain plans, and recommend exact fixes.
Continuous Performance Culture
We help teams institute permanent automated performance budgets so speed remains a non-negotiable standard as the product evolves.
Performance Testing answers
Ready to engineer rock-solid quality into your release?
Partner with AKREVON to build comprehensive automated test suites, stress-test performance boundaries, and deploy zero-defect release pipelines.