🔍 What We Do
We simulate real-world usage scenarios across peak loads and identify:
- Latency & bottlenecks
- Throughput limitations
- Resource contention
- Infrastructure misconfigurations
- Degradation under scale
Whether you're launching a new product, migrating to the cloud, or preparing for regulatory compliance, we ensure your system performs under pressure.
🧰 Tools & Technologies We Use
We select the right toolset for your stack, scale, and delivery pipeline. Tools include:
Open Source & Standard Tools:
- Apache JMeter – Protocol-level load testing for APIs, databases, web apps
- Gatling – High-performance Scala-based load testing for APIs & HTTP
- Locust – Python-based test scripting with event-driven execution
- k6 (Grafana) – Scriptable load testing for modern DevOps workflows
- Artillery – Lightweight load testing for APIs and microservices
- RedLine13 – AWS-based JMeter/Gatling integration
Enterprise & Cloud-Based:
- NeoLoad (Tricentis) – Enterprise-grade test design, CI/CD integration, and real-time analytics
- BlazeMeter – SaaS load testing compatible with JMeter & Selenium
- LoadRunner (Micro Focus) – Legacy systems and protocol-heavy test automation
- StormForge – Kubernetes-based performance tuning and experimentation
- Octoperf - SaaS JMeter-based testing
Monitoring & Observability:
- Grafana / Prometheus – Real-time system metrics
- New Relic / Datadog / Dynatrace – APM integrations for backend insight
- Elastic Stack – Log-based performance and error tracking
🚀 Use Cases
- Pre-launch performance testing
- SLA validation
- API & backend throughput testing
- CI/CD-integrated performance regression
- Capacity planning for cloud environments
- Fail-over performance scenarios
