Operations | Monitoring | ITSM | DevOps | Cloud

Interactive Dashboards - Click Any Panel to Start Debugging

Your dashboard shows a latency spike. To investigate it, you copy the query, open logs in a new tab, paste and modify the query, lose your dashboard filters, and repeat for traces. By the time you find the issue, you have 15 tabs open. Starting today, you can click any panel and investigate right there. All your filters and variables carry over. No more tab juggling.

Managing access in Grafana: a single stack journey with teams, roles, and real-world patterns

When multiple teams use Grafana, it can start to feel a bit messy. Dashboards pile up, permissions become unclear, and teams accidentally overwrite each other’s work. To help you and your organization stay clear, collaborative, and secure, we recommend putting all users in a single Grafana Cloud stack and managing access with teams, roles, and folders. To illustrate this, I’ll share a hypothetical example of how you can put this into practice across three teams. Let’s dive in!

Interactive Dashboards | SigNoz Launch Week 5.0 | Day 1

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do: ​Built for developers who need to debug production issues efficiently, not juggle with multiple tabs.

Observability Journey Panel - Dell x TekStream

Join Dell Technologies, TekStream Solutions, and Grafana Labs for a candid panel on scalining observability. Learn how enterprise teams scale observability, balance centralized vs. decentralized models, and accelerate adoption. The panel explores challenges with culture, governance, tool sprawl, and how AI is reshaping monitoring and incident response.

How Teams Are Using AI to Tackle Observability Challenges (2025 Survey Insights) | Grafana Labs

In Grafana’s 3rd annual Observability Survey, over 1,000 engineers and leaders shared their challenges — tool sprawl, complexity, rising costs, and nonstop alerts — and their hopes for how AI can help.

Tiger teams: How we tackle urgent, cross-functional challenges at Grafana Labs

A year ago, we hit a wall. Our Grafana OSS releases were excruciating to execute. The process was confusing and hard to follow, security patches were non-trivial, and many engineering hours were lost to an overly manual process. We needed to move fast, cut through ambiguity, and pull in just the right people without waiting on roadmaps or org charts.

What's new in the Infinity data source for Grafana: support for JQ parser, additional HTTP methods, and more

Since its launch in 2020, the Infinity data source for Grafana has become the go-to solution to seamlessly query and visualize data from JSON, CSV, XML, and GraphQL endpoints within Grafana. Allowing users to integrate diverse data formats via HTTP-based APIs, the Infinity data source has enabled a wide range of use cases within our community over the years — from visualizing cloud computing costs to popular Pokémon games.