Grafana Assistant can help you quickly identify cost optimization opportunities in cloud-native environments, and with MCP server integrations, it can apply those optimizations directly in your tools and code.

Grafana is an open-source analytics and monitoring platform that allows users to visualize and analyze metrics from various data sources. The Grafana blog covers topics such as data visualization, monitoring best practices, and new features in Grafana software. Developers and data engineers can learn how to leverage Grafana for monitoring infrastructure, analyzing performance metrics, and creating interactive dashboards for data-driven decision-making.

Grafana Labs

Grafana Assistant, the AI-powered agent in Grafana Cloud, can analyze Kubernetes and cloud infrastructure telemetry to identify resource waste and cost optimization opportunities without requiring PromQL knowledge. By integrating with MCP (Model Context Protocol) servers such as the GitHub MCP server, Assistant can go beyond recommendations and automatically apply optimizations — for example, updating Helm values.yaml files and opening pull requests based on 30-day production usage data. The workflow covers Kubernetes workloads as well as AWS, GCP, Azure VMs, and managed databases, and can be extended to other tools like Cloudflare, Jenkins, and LaunchDarkly via MCP integrations.

From signals to savings: Optimizing cloud costs with Grafana Assistant and MCP servers