📢 Exciting news! Tracetest has integrated with Dynatrace to offer unified observability for testing. Now you can create trace-based tests and monitor them over time.
Discover how trace-based testing techniques helped the OpenTelemetry (OTel) Demo increase reliability and confidence in releases.
Learn how to use Grafana to monitor and test APIs with distributed tracing, preventing errors from reaching production. This tutorial provides step-by-step instructions for setting up and using Docker Compose to run Grafana, Tempo and Tracetest.
Synthetic monitoring is a crucial technique for proactively detecting issues and optimizing system performance. Learn how to simulate user transactions with Tracetest and automate with GitHub Actions!
Tracetest + Honeycomb are now integrated, taking observability-driven development to new heights.🚀 Leverage Honeycomb's powerful pattern detection + Tracetest's fast test creation for flawless code performance.
Learn how to instrument a Node.js Lambda function using OpenTelemetry, store tracing data in Jaeger, and run trace-based testing with Tracetest!
If you're a back-end developer, don't miss out on the benefits of distributed tracing and APM solutions! Use them to diagnose errors and ensure high-quality deployments. Take it a step further with Tracetest by enforcing code quality standards with trace-based testing.
In this tutorial, I will show you how to install Tracetest and the OTel Demo App on Nomad running locally using HashiQube. I will then show you how to create and run a simple test with Tracetest, using a couple of Traces from the OTel Demo App.
As a back-end engineer, embracing the DevOps mindset and 'shift-left' mentality means more power and responsibility. Don't stop at code commit. Implement observability and testing tools to release high-quality code. Check out the open-source ecosystem for available tools!