Grafana Dynamic Dashboards are now generally available — replacing the old default with a structured, flexible dashboarding experience built for teams at scale.
If you're running Databricks workloads, you've probably asked yourself these types of questions: How much is this costing me? Why did that job fail last night? Why are my dashboard queries suddenly slow? We've been there, too. Databricks is fantastic for data engineering, ML, and analytics. But once you start running jobs, pipelines, and SQL queries at scale, you need a way to keep tabs on what's happening. That's why we built the Databricks integration for Grafana Cloud.
Resolve issues faster without leaving Slack. This video shows how Grafana Assistant delivers real-time insights, automates troubleshooting, and helps you investigate and act on incidents directly where your team already works. Thanks for watching!
Quickly diagnose issues and understand your systems with context-aware analysis. This video shows how Grafana Assistant helps you troubleshoot services, analyze dashboards, and generate new ones, all from simple prompts. Thanks for watching!
Make Grafana Assistant work your way by adding rules that capture your team’s context and best practices. This video shows how to customize behavior, improve efficiency, and turn tribal knowledge into repeatable workflows. Thanks for watching!
Alerts are meant to help teams respond quickly to problems, but too often they arrive without enough context to be immediately useful. An alert that says “CPU usage is high” still leaves the on-call engineer asking critical follow-up questions: Which service? Which environment? Where do I look next? Validating the alert and triaging the situation is the first step for every engineer. It's a manual step that takes time, extending every potential incident.
The Kubernetes Monitoring Helm chart is the easiest way to send metrics, logs, traces, and profiles from your Kubernetes clusters to Grafana Cloud (or a self-hosted Grafana stack). And version 4.0 is the biggest update the chart has ever received. Representing nearly six months of planning and development, it's designed to solve real pain points that users have hit as their monitoring setups have grown.
As teams scale, managing synthetic monitoring checks manually in the UI becomes difficult and error-prone. When you're dealing with dozens of checks across multiple environments, teams experience inconsistent configurations, lack of version control, and difficulty tracking changes.
When you identify CPU or memory spikes in your services, it’s critical to understand why they’re happening. But switching between tools or crafting complex queries can slow you down when trying to pinpoint a root cause. This is why we’re excited to share that Profiles Drilldown, an application that lets you easily explore profiling data through an intuitive, point-and-click interface (no queries required), is now integrated with Grafana Cloud Knowledge Graph.