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AI-powered diagnostics for incident response: New Sift features in Grafana IRM

Sift is a machine-learning-powered diagnostic feature in Grafana Cloud that SREs and DevOps teams can use to automate routine parts of incident investigation, such as searching for new errors in logs, surfacing recent deployments, or identifying overloaded Kubernetes nodes. We want Sift to springboard you into an investigation, so useful context is already there by the time you see an alert or declare an incident.

How the open source Caddy server uses Grafana Cloud for full-stack observability

Mohammed Al Sahaf serves as Technical Product Manager at Samsung Electronics Saudi Arabia. Outside his day job, he serves with the Caddy team to tackle the web of problems facing web servers in the third millennium. Mohammed is the author of Kadeessh, formerly caddy-ssh, and the maintainer of numerous Caddy modules. When he isn’t programming, he is trying to catch up on life and sleep with the help of coffee.

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.