Got questions about Grafana? Just ask Grot, Grafana's new AI-powered chatbot (still in beta). Built in partnership with Pal, a company that creates AI assistants for businesses, and inspired by our bulbous dino mascot, Grot the chatbot has been trained with large language models (LLM) on Grafana Labs’ own content. It can help you easily answer just about any question about our Grafana LGTM Stack, our open and composable hosted Grafana Cloud platform, and more — regardless of how narrow or broad the query might be or what language is set in your browser.

Did you know you could do agentless monitoring for Prometheus in Grafana Cloud? Senior Software Engineer Matt Nolf talks about the new Metrics Endpoint integration and how you can use it to collect Prometheus metrics from publicly addressable hosts-- WITHOUT using Grafana Agent. He is joined by Developer Advocates Nicole van der Hoeven and Paul Balogh.

Senior Software Engineer Łukasz Gut talks about a new feature: Distributed Tracing with Grafana Cloud k6. He discusses what distributed tracing is, why it matters, and how it can help teams find reliability issues faster. He is joined by Developer Advocates Marie Cruz and Nicole van der Hoeven.

Navigating secure connectivity and managing data transfer costs are vital to optimizing your cloud-based services. AWS PrivateLink offers a solution to improve security and reduce costs, especially when integrating with Grafana Cloud. In this tutorial, we delve into the problems solved by PrivateLink, its working mechanism, and a step-by-step guide on configuring it to connect to Grafana services. What You'll Learn.

Senior Developer Advocates Nicole van der Hoeven and Usman Ahmad talk about how to deploy Grafana on Kubernetes for beginners: what Kubernetes is, how it's an evolution of distributed computing, what its relationship to Docker is, other things you might need to know to work with Kubernetes, and how you can deploy Grafana on your own Kubernetes clusters.

Navigating and correlating log data is essential in maintaining system performance and security. The upgraded Loki Log Context Query Editor in Grafana 10 offers a more detailed view and analysis of log entries, allowing you to identify patterns and correlations across multiple log lines efficiently.

Learn how to use the network layer type for node graphs with geometric data. This feature is new in Grafana 10.1 and enables the ability to visualize your network on a map, which can provide additional context when monitoring the state of nodes and the connections between them.

When you’re visualizing data in time series, trend, and state timeline panels, one challenge you might have faced is when arbitrary gaps in your data end up automatically connected in your visualization. This can distort the true picture of your data, leading to potential misinterpretations. In Grafana 10.1, you can now set a specific threshold on the x-axis in your Grafana dashboards to disconnect any data points above this threshold.

Learn how to distinguish widgets from visualizations for building better dashboards with Grafana 10.1. This update will improve your dashboard creation process because if you want to integrate elements like text, news, or an annotation list, you no longer need to select a data source first. Plus, to optimize your editing experience, the plugins list and library panels are now context-aware, adjusting in real time based on whether you’re working with a widget or a visualization.

You may have built an alert rule with Grafana Alerting and then grappled with routing, reconfiguring, and managing the different alerts your team set up. To address this challenge, we’ve implemented a series of improvements to set up and maintain alert rules in Grafana. Watch how the new alerting workflow works.