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Tracetest is an innovative open-source testing framework that allows developers to create and run both end-to-end and integration tests through the use of OpenTelemetry traces. This framework not only checks the final outcomes but also examines each step of the process, ensuring that all components of a distributed system function correctly. It integrates smoothly with widely-used testing frameworks like Cypress, Playwright, k6, and Postman, enhancing testability and visibility without requiring any changes to the current codebase. By leveraging trace data, Tracetest identifies issues such as incorrect service interactions or performance bottlenecks that might be overlooked with traditional testing methods. It also works effectively with various observability platforms and can be easily incorporated into CI/CD pipelines to support continuous testing efforts. Moreover, Tracetest includes synthetic monitoring capabilities that aid in the proactive detection of performance challenges, safeguarding user experience. This versatile tool not only strengthens testing precision but also fosters increased assurance in the dependability of distributed systems, making it an essential asset in modern software development. Ultimately, the use of Tracetest contributes to a more robust and reliable software delivery process.
What is TraceRoot.AI?
TraceRoot.AI is an open-source platform powered by AI that focuses on observability and debugging, designed to help engineering teams rapidly tackle challenges in production environments. It integrates telemetry data into a cohesive, correlated execution tree, providing crucial insights into the causes of failures. AI agents utilize this organized structure to generate problem summaries, pinpoint likely root causes, and suggest actionable solutions, which can include creating GitHub issues and pull requests. Users benefit from an interactive trace exploration feature that includes zoomable log clusters and comprehensive views on spans and latency, along with insights directly tied to the codebase. To simplify instrumentation, lightweight SDKs for Python and TypeScript are available, supporting both self-hosted setups and cloud deployments through OpenTelemetry. A significant feature of this platform is its human-in-the-loop mechanism, which enables developers to engage with the reasoning process by selecting pertinent spans or logs, allowing them to validate the AI agent's conclusions with traceable context. This collaborative approach not only improves debugging efficiency but also gives teams increased authority and oversight in the issue resolution process, ultimately fostering a more proactive and informed development environment. Furthermore, the platform's design emphasizes user experience, making it accessible for teams of varying sizes and technical expertise.
Integrations Supported
GitHub
OpenTelemetry
AWS X-Ray
Cloudflare Workers
Datadog
Dynatrace
Honeycomb
Jaeger
Microsoft Azure
New Relic
Integrations Supported
GitHub
OpenTelemetry
AWS X-Ray
Cloudflare Workers
Datadog
Dynatrace
Honeycomb
Jaeger
Microsoft Azure
New Relic
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
$49 per month
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Tracetest
Company Location
United States
Company Website
tracetest.io
Company Facts
Organization Name
TraceRoot.AI
Date Founded
2025
Company Location
United States
Company Website
traceroot.ai/
Categories and Features
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing