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🔍 What We Do

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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.

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🧰 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
• Taurus – YAML-based test orchestration for JMeter/Gatling

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

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
• Disaster recovery performance scenarios

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