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How to instrument your Python application using OpenTelemetry

If you want to see if OpenTelemetry helps you become a better Python developer — or if you just want to know how to add OpenTelemetry to your Python service — you’ve come to the right place. In this blog, we’ll show you how to instrument your Python application using OpenTelemetry and how to visualize your OpenTelemetry data using Application Observability in Grafana Cloud. We’ll walk you through the following steps.

OpenTelemetry: 3 questions to ask before choosing an observability solution

As OpenTelemetry rises in popularity, more organizations are implementing, or planning to implement, the open source project to monitor their applications — and, meanwhile, more vendors are offering OpenTelemetry support. In fact, a quick Google search for “OpenTelemetry support” shows results ranging from legacy APM vendors to newer, cloud native solutions like Grafana Cloud.

How to start with Kubernetes monitoring in Grafana Cloud

This video provides a comprehensive guide to initiating Kubernetes monitoring within Grafana Cloud, detailing a straightforward, step-by-step approach for installing the Helm chart on your cluster. It further ensures that you can validate the health and integrity of the data underpinning the solution, setting a solid foundation for effective monitoring practices. Ideal for both beginners and experienced users, this tutorial is designed to streamline your monitoring setup process with precision and ease.

Kubernetes alerting: Simplify anomaly detection in Kubernetes clusters with Grafana Cloud

Despite the widespread adoption of Kubernetes, many DevOps teams and SREs still struggle to troubleshoot issues because of all the complexity that comes with the open source container orchestration platform. That’s why we developed Kubernetes Monitoring, an application in Grafana Cloud you can use to visualize and alert on your Kubernetes clusters.

'The Story of Grafana' documentary: From one developer's dream to 20 million users worldwide

On Dec. 5, 2013, Torkel Ödegaard made the first commit in GitHub for a personal project that would become Grafana. “It’s hard to believe it’s been 10 years since Torkel launched Grafana, growing from a small man with a big dream to becoming the most popular data visualization software in the world,” says Grafana Labs co-founder and CEO Raj Dutt. “The Story of Grafana” chronicles that meteoric journey.