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Perfana | Continuous Performance Engineering

Perfana provides a software performance validation platform that automates testing, analysis, and reporting, integrating seamlessly into CI/CD pipelines for continuous performance monitoring. This solution minimizes manual tasks for development teams, enabling them to efficiently validate software performance at scale and maintain high product quality.

Founded 20194500+ followers
Updated 4 months ago

Funding

$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Software performance validation often involves manual testing, analysis, and reporting, which can be time-consuming and error-prone. This manual effort can slow down development cycles and increase the risk of performance regressions in production.

Solution

Perfana provides a software performance validation platform that automates testing, analysis, and reporting, integrating directly into CI/CD pipelines for continuous performance monitoring. The platform minimizes manual tasks, enabling development teams to efficiently validate software performance at scale and maintain product quality. Perfana automatically sets historic benchmarks and detects deviations, stopping the continuous deployment pipeline when performance regressions are identified. It integrates with tools like Jaeger and Pyroscope, facilitating root cause analysis of performance bottlenecks.

Target Audience

Perfana targets software development teams, QA engineers, and performance testers in agile environments who need to automate performance testing, analysis, and reporting.

Features

  • Automated performance testing and validation integrated into CI/CD pipelines
  • Automated Deviation Analysis for Performance Testing (ADAPT) to identify performance regressions and growing resource consumption
  • Live view of running tests with alert-annotated graphs for real-time bottleneck detection
  • Root cause analysis through integrations with Jaeger and Pyroscope
  • Comparison of Service Level Indicators and Objectives between test runs
  • Performance trend analysis for Service Level Indicators over time
  • Docker and Kubernetes support for easy installation and configuration
This profile is AI-generated and may contain inaccuracies.