Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes Monitoring Helm chart v4: Biggest update ever!

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.

How to manage synthetic monitoring checks as code with Terraform and Grafana Cloud

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.

Business metrics in Grafana Cloud: Get an AI assist to help securely analyze your data

For today's modern businesses, the data landscape demands security and flexibility. You need to connect your observability platform to rich, proprietary datasets that often reside in private networks without compromising security or managing complex network infrastructure. You may also face an extra layer of complexity in order to effectively query and visualize that data. Luckily, modern artificial intelligence tools have made these previously complicated processes much simpler.

Query fair usage in Grafana Cloud: What it is and how it affects your logs observability practice

In Grafana Cloud we use a simple yet generous formula that lets you query up to 100x your monthly ingested log volume in gigabytes for free. This works for the vast majority of our customers, but if you aren’t careful and strategic with your usage, you could find yourself with an overage bill.

Grafana Cloud Demo in Under 5 minutes | Full Stack Observability and more

Overview & demo of how Cloud provides an end to end Observability Platform that empowers users who have adopted open standards like or to improve their systems reliability using & a shift left approach with performance testing while optimizing their observability costs.