|
By Arun Ulagappan
Adaptive Metrics , which is part of the Adaptive Telemetry suite, looks at how your metrics are actually used and recommends how much detail you should keep for each metric. This helps you cut costs while still retaining the data you actually need. Last year we added auto-apply capabilities that let you implement those recommendations automatically, but only with coverage-first behavior, maximizing coverage of whatever you're querying.
|
By Ksenia Yadav
When you’re on the go, your phone is often the only observability tool you have. And what you can do with it in the first few minutes matters. With the incredible innovation that has gone into mobile CPUs, GPUs and displays, a phone is a powerful device where you can immediately see what’s happening and start acting on it. And the Grafana mobile app now allows you to both see and act.
|
By Ashley Somerville
You’ve got 10 minutes before your next meeting when your phone starts ringing. You’re being paged because the frontend is erroring with failed API requests. You open one tool to see what fired, then another to figure out what’s going on. You message a teammate in Slack to see if they’re noticing the same thing. That’s a lot of context switching, and it’s still how a lot of teams' incident response works today. Opening another tool and catching someone up takes time.
|
By Marko Bachvarovski
If you’ve built your telemetry pipelines around OpenTelemetry Collectors, you’ve already invested in a collector distribution, YAML configuration, and a deployment model that fits your infrastructure. As that deployment grows, managing it means keeping shared configuration consistent, accommodating different workloads, and understanding whether your collectors are healthy. Fleet Management in Grafana Cloud brings those tasks together in one place.
|
By Virginia Cepeda
As your use of Grafana Cloud Synthetic Monitoring grows, so does the number of checks you need to manage across services, environments, and teams. Eventually, a single flat list of checks becomes difficult to navigate, and even simple questions get harder to answer: Which checks belong to the payments team? Can I disable everything in staging during a maintenance window? Who should be able to edit the checks for this service?
|
By Tiffany Jernigan
Building on the major release of Tempo 3.0, Tempo 3.1 is here, delivering community-contributed Kafka client improvements, query-based trace redaction, sampling-aware TraceQL metrics, and more. Together, the updates in 3.1 make it easier to operate Tempo, get accurate insights from your trace data, and investigate issues more efficiently. You can continue reading and check out the video below to learn more about the latest features.
|
By Ivana Huckova
At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can reason about instead of hope for. That instinct led us somewhere unexpectedly useful. It turns out one of the oldest ideas in reliability engineering, the error budget, maps beautifully onto one of the newest problems in software: how do you know if an AI agent is actually any good?
|
By Matt Jacobson
Alert routing often starts simple. A team creates a few contact points, adds some label matchers, and builds a notification policy tree that sends each alert to the right destination. But alerting configurations rarely stay simple. As an organization grows, its notification policy tree must accommodate more teams, services, and routing requirements. Changes for one team still require editing a global configuration, making ownership less clear and independent provisioning harder.
|
By Bukola Ayodele
When something breaks in production, the questions that matter most are also the toughest to answer from metrics alone: who was affected, what did they actually see, and is this worth waking someone up for? Answering those questions requires a fuller picture of the issue and its impact on your users. That’s where Digital Experience Monitoring (DEM) in Grafana Cloud comes in.
|
By Anant Sharma
Labels are a powerful way to organize telemetry and define policies across Grafana Cloud, helping to streamline alerting, attribution, access control, and more. But traditionally, custom labels in Synthetic Monitoring have worked a little differently: they only lived on a single sm_check_info metric, and Grafana Cloud prefixed each one with label_.
|
By Grafana
Digital Experience Monitoring (DEM) in Grafana Cloud combines frontend observability, synthetic checks, and session replays with backend telemetry to give engineering teams an end-to-end view of customer experience. In this video, Senior Developer Advocate Marie Cruz gives an overview of DEM and a deep-dive demo of how it works in Grafana Cloud.
|
By Grafana
In honor of World Space Week, we're spotlighting Jackson Sweeney's story and his role in Blue Ghost Mission 1. As a Thermal Engineer at Firefly Aerospace, he used Grafana to ensure that the spacecraft maintained the right temperature throughout the mission... and receive a Golden Grot Award for his use case. Behind every successful moonshot are people solving one hard problem after another. For engineers like Jackson, that means turning an extraordinary ambition into thousands of practical decisions.
|
By Grafana
Trace redaction permanently removes sensitive data from your traces, for when something like an API key ends up in a span attribute. Tempo 3.0 could do it, but only from a list of trace IDs, so you had to go find every affected trace first. In Tempo 3.1 you can hand it a TraceQL query instead. Separately, trace-by-ID got a filter. You normally ask for a trace and get all of it. Now you can pass a TraceQL query and get back only the spans that match.
|
By Grafana
In this Pyroscope community call, we look at what eBPF is, where it came from, and how the OpenTelemetry eBPF profiler uses it to profile supported workloads without application code changes.
|
By Grafana
There are times when you have a panel which does not show any data because there is none and it might be a good idea to hide it until it start showing. Learn how to do this in Grafana.
|
By Grafana
As we get into the full swing of prime Aurora viewing season, hear how this Golden Grot Award-winning project by Mohamed Adem uses free, public data and Grafana Assistant to explore whether an aurora will actually be visible.
|
By Grafana
The Grafana Mobile App lets you triage alerts with help from Assistant from your phone. You can declare an incident or trigger an investigation into an incident in order to get more information so that by the time you get to your desktop, everything is ready for you. Grafanistas Ignacio and Florian go through a use case deep dive, demonstrating the value of the Grafana Mobile Companion app by triggering an investigation, talk to Assistant, and have all the data you need to resolve an incident - all from your phone.
|
By Grafana
With the plan mode you can get a preview what kind of panels you want to have in your dashboard that safe a lot of tokens, efforts and computing resources when using Grafana Assistant AI.
|
By Grafana
In the September edition of the Kubernetes Monitoring Helm chart office hours, we discuss the version 4.4 and 4.5 releases, the upcoming 4.6 feature release, and the next 5.0 major release.
|
By Grafana
Grafana's Knowledge Graph builds a contextual layer on top of your telemetry data, automatically extracting entities and relationships so you can see how your services actually connect. In this deep dive, Jia show how it powers root-cause investigation both in the Grafana UI and through agentic workflows using gcx and Claude Code. Learn more about Grafana's observability tools and try Knowledge Graph for your own telemetry data at grafana.com.
- October 2026 (13)
- September 2026 (14)
- August 2026 (20)
- July 2026 (30)
- June 2026 (21)
- May 2026 (18)
- April 2026 (37)
- March 2026 (26)
- February 2026 (29)
- January 2026 (24)
- December 2025 (27)
- November 2025 (23)
- October 2025 (28)
- September 2025 (30)
- August 2025 (25)
- July 2025 (30)
- June 2025 (32)
- May 2025 (37)
- April 2025 (31)
- March 2025 (25)
- February 2025 (24)
- January 2025 (24)
- December 2024 (21)
- November 2024 (25)
- October 2024 (26)
- September 2024 (20)
- August 2024 (33)
- July 2024 (29)
- June 2024 (33)
- May 2024 (42)
- April 2024 (35)
- March 2024 (33)
- February 2024 (29)
- January 2024 (30)
- December 2023 (33)
- November 2023 (46)
- October 2023 (29)
- September 2023 (35)
- August 2023 (28)
- July 2023 (26)
- June 2023 (29)
- May 2023 (23)
- April 2023 (18)
- March 2023 (18)
- February 2023 (17)
- January 2023 (15)
- December 2022 (22)
- November 2022 (25)
- October 2022 (13)
- September 2022 (17)
- August 2022 (20)
- July 2022 (23)
- June 2022 (20)
- May 2022 (20)
- April 2022 (21)
- March 2022 (22)
- February 2022 (18)
- January 2022 (17)
- December 2021 (19)
- November 2021 (19)
- October 2021 (15)
- September 2021 (15)
- August 2021 (23)
- July 2021 (22)
- June 2021 (21)
- May 2021 (13)
- April 2021 (15)
- March 2021 (17)
- February 2021 (15)
- January 2021 (15)
- December 2020 (15)
- November 2020 (8)
- October 2020 (19)
- September 2020 (13)
- August 2020 (14)
- July 2020 (17)
- June 2020 (15)
- May 2020 (45)
- April 2020 (18)
- March 2020 (13)
- February 2020 (15)
- January 2020 (13)
- December 2019 (10)
- November 2019 (16)
- October 2019 (15)
- September 2019 (11)
- August 2019 (14)
- July 2019 (15)
- June 2019 (9)
- May 2019 (16)
- April 2019 (16)
- March 2019 (22)
- February 2019 (4)
- January 2019 (6)
- December 2018 (6)
- November 2018 (7)
- October 2018 (6)
- September 2018 (6)
- August 2018 (6)
- July 2018 (6)
- June 2018 (8)
- May 2018 (3)
- March 2018 (28)
- February 2018 (1)
- December 2017 (1)
Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world. Grafana is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.
Grafana has a robust plugin architecture built for extensibility. Visualize data from more than 40 data sources, including commercial databases and web vendors, and add new graph panels with rich data visualization options. There is built in support for many of the most popular time series data sources. It works with Graphite, Elasticsearch, Cloudwatch, Prometheus, InfluxDB and more.
Grafana Labs is the company behind Grafana, the leading open source software for visualizing time series data. Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.