Operations | Monitoring | ITSM | DevOps | Cloud

State of the Observability Databases with Dee Kitchen (Grafana Office Hours #30)

In this Grafana Office Hours, we talk about the state of observability databases (Grafana Loki, Mimir, Tempo, and Pyroscope) and where they're going. We talk about current and upcoming architectural changes in all four, how we're making them more performant, how compatible they are with OpenTelemetry, and what we're working on next for each database. In this conversation are Dee Kitchen (VP of Engineering for Databases) and Senior Developer Advocates Jay Clifford and Nicole van der Hoeven.

Getting started with ServiceNow dashboards

ServiceNow is a cloud-based platform that streamlines IT service management, operations, and various business workflows across organizations. Dashboards in ServiceNow can play a valuable role by offering a clear view of key metrics, trends, and performance indicators. While there are dashboards locally in ServiceNow portal, they often fail to provide a fuller picture of the impact of the incidents in context with other key metrics from external tools.

Visualize Amazon Aurora, Zendesk, and more: What's new in Grafana data sources

One of our biggest goals at Grafana Labs is to help you unify and derive value from your data, regardless of where that data lives. As a result, we’re fully committed to making Grafana an open, composable, and extensible observability platform. Last week at GrafanaCON 2025, where we celebrated the launch of Grafana 12, we highlighted one of the key ways we deliver on this promise of openness and extensibility: our broad ecosystem of Grafana data sources.

Introducing SCIM provisioning in Grafana: Enterprise-grade user management made simple

We’re excited to share that SCIM provisioning is available in public preview for Grafana Enterprise and Grafana Cloud Advanced! This powerful feature, introduced last week at GrafanaCON 2025 as part of the Grafana 12 release, transforms how organizations manage users and teams in Grafana, bringing automated user lifecycle management and enhanced security to your observability platform.

Introduction To Browser Checks | Grafana Cloud Synthetic Monitoring

Learn how to set up browser checks using Grafana Cloud Synthetic Monitoring. In this video, we walk through how to create a browser check and analyze test results. Browser checks simulate real user interactions to track critical workflows and catch issues early.

Visualize Databricks in Grafana: write custom SQL queries, build interactive dashboards, and more

As part of our big tent philosophy at Grafana Labs, we think you should be able to dig into your data and find meaningful insights — wherever that data happens to live. For many of our users, that data lives in Databricks, the open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale.

How to easily connect Prometheus to Grafana Cloud

Prometheus is one of the most popular open source monitoring tools due to its powerful flexibility for collecting time series metrics. But raw metrics aren’t always helpful on their own. That’s where Grafana Cloud comes in. By connecting Prometheus to Grafana Cloud, you get rich visualizations, alerts, and dashboards that make your data actionable without having to manage any additional infrastructure.

How to Visualize and Explore Your Datalake: Databricks Enterprise Data Source for Grafana

Ready to bring your Databricks data lakehouse to life? In this Grafana quick start, Shawn Pitts walks through how to connect Databricks to Grafana Cloud using the official plugin, available on all tiers — including Cloud Free. We’ll cover: Setting up the Databricks data source Retrieving your Host, HTTP Path, and Token from the Databricks App Exploring data with SQL builder and custom queries in Grafana Creating a cross functional dashboard using live Databricks data.

Real-Time Monitoring Solutions for Modern Web Applications

Web applications have evolved from simple static sites into complex distributed systems spanning multiple servers, services, and geographical locations. This evolution has created new challenges for monitoring these applications effectively. Today's web stacks require comprehensive visibility across all layers to ensure optimal performance and reliability.

SQL analytics - unified querying across any API

SQL is just for querying relational data, right? Well, not necessarily! With our SQL Analytics feature, you can run SQL queries over all types of data from all kinds of backend stores. This gives you incredible flexibility and power – you can even combine different types of entity (e.g. a pull request and a pipeline run) in a single query. Equally, I could have datasets with job tickets from Jira, ServiceNow and Zendesk and combine them in a single query.