Operations | Monitoring | ITSM | DevOps | Cloud

Prometheus 3.0 and OpenTelemetry: a practical guide to storing and querying OTel data

Over the past year, a lot of work has gone into making Prometheus work better with OpenTelemetry—a move that reflects the growing number of engineers and developers that rely on both open source projects. Historically, Prometheus users have faced a number of challenges when trying to work with OpenTelemetry (and vice versa).

AI Observability with Grafana with Ishan Jain (Grafana Office Hours #29)

In this Grafana Office Hours, Ishan Jain talks about AI Observability with Grafana: what it entails, factors to consider when monitoring and observing LLMs, and how to do it all with Grafana. He is joined by Senior Developer Advocate Nicole van der Hoeven. LINKS.

How to Use Data Views to Save Your Monitoring Budget

MetricFire automatically produces different statistical views on the data you send, providing fast views on your metrics at the most appropriate resolution for viewing on your dashboard using Hosted Graphite. This allows you append views to the end of your metric to visualize your data in different ways. Append a view to the end of your metric to visualize your data in different ways.

Creating alerts from panels in Kubernetes Monitoring: an overlooked, powerhouse feature

As a product manager here at Grafana Labs, I’ve learned that sometimes the most powerful features can sneak by unnoticed, buried in those three little dots off to the side of the panel. But what happens when one of those hidden gems suddenly becomes the star of the show? Recently, we released a new Kubernetes Monitoring feature in Grafana Cloud—an alert system you can use to create alerts from panels in the app.

Booking.com's Observability Overhaul: Unified Metrics, Logs, and User Insights | Grafana & OTel

Murugesan and Ahmadali from Booking.com's Observability Team as they dive into the journey of modernizing observability. Discover how they transformed fragmented systems into a centralized, scalable platform using OpenTelemetry and Grafana solutions. They share insights on their three-year strategy, the importance of unified metrics and logs, and overcoming challenges, from technology transitions to fostering teamwork.

Building a better search experience

As someone deeply invested in the evolution of SquaredUp, I’d like to share more about our search capability and how we designed the functionality. SquaredUp can connect to 100+ data sources, thousands of objects, tons of metrics, and and we offer many purpose-built out-of-the-box dashboards and monitors. We've deliberately designed our search experience to be able to handle the complexity of various data environments and make finding relevant information seamless and efficient.

Rolling your own DevOps metrics

The principle of continuous improvement is central to the practice of observability. Naturally, within the data-driven philosophy of DevOps this implies an ongoing cycle of acting, measuring and improving. For many teams, the classic four DORA metrics are seen as a gold standard. As I discussed in a previous article, whilst DORA metrics are a great starting point for assessing your agile capabilities, they are not necessarily definitive.

Grafana dashboards are now powered by Scenes: big changes, same UI

Though you might not immediately notice it the next time you log in, Grafana’s frontend has undergone a major upgrade. We recently migrated our dashboard architecture to utilize the Grafana Scenes library, enabling the creation of more stable, dynamic, and flexible Scenes-powered dashboards. Yes, the UI is pretty much the same, but under the hood, the engine responsible for visualizing the dashboards used by millions of people around the world has largely been rewritten.

Dashboards are dead; long live Reviews!

Dashboards are everywhere. We use them to inform us about the next big decision we need to make, understand the current state of our business, or see how our Engineering org is running. However, are dashboards actually useful? Are dashboards truly solving a problem for us? Ultimately, we don’t really want more data in our lives - we want answers. Getting these answers is not about adding another dashboard. It is about observing data and taking action to find answers that help us drive outcomes.