At Grafana Labs, we’re continuing to expand our platform of Grafana Cloud integrations that make it easier than ever to connect and monitor external systems. These integrations enable you to answer the big picture questions in your organization and tell your observability story.
Spring Boot is a very popular microservice framework that significantly simplifies web application development by providing Java developers with a platform to get started with an auto-configurable, production-grade Spring application. In this blog, we will walk through detailed steps on how you can observe a Spring Boot application, by instrumenting it with Prometheus and OpenTelementry and by collecting and correlating logs, metrics, and traces from the application in Grafana Cloud.
The Kubernetes integration for Grafana Cloud helps users easily monitor and alert on core Kubernetes metrics using the Grafana Agent, our lightweight observability data collector optimized for sending metric, log, and trace data to Grafana Cloud. It packages together a set of easy-to-deploy manifests for the Agent, along with prebuilt dashboards and alerts.
Since we launched Grafana Mimir — the most scalable, most performant open source time series database in the world — we have answered many of your questions about our latest open source project, including how to pronounce it. (All together now: /mɪ’mir/.) We have also walked through how we scaled Grafana Mimir to 1 billion active series.
The promise: Order any groceries and essentials from Blinkit’s mobile app, and they’ll be delivered to your doorstep within 10 minutes. The process: Very difficult with a legacy logging tool. For Blinkit, the instant delivery service formerly known as Grofers that serves millions of consumers across India, their tech stack was beginning to interfere with business operations at a time when the company was hyperscaling due to its popularity.
Grafana 8.5 is here! Download Grafana 8.5 We’ve worked on a variety of improvements that focus on Grafana’s usability, data visualization, and security. For a full list of new features and capabilities, check out our What’s New in Grafana 8.5 documentation. You can get started with Grafana in minutes with Grafana Cloud. We have free and paid Grafana Cloud plans to suit every use case — sign up for free now.
Grafana Mimir, our new open source time series database, introduces a horizontally scalable split-and-merge compactor that can easily handle a large number of series. In a previous blog post, we described how we did extensive load testing to ensure high performance at 1 billion active series. In this article, we will discuss the challenges with the existing Prometheus and Cortex compactors and the new features of Grafana Mimir’s compactor.
Forget the latest tech gadgets and the newest products. One of the most talked about trends in observability right now? “SLOs have really become a buzzword, and everyone wants them,” said Grafana Labs principal software engineer Björn “Beorn” Rabenstein on a recent episode of “Grafana’s Big Tent,” our new podcast about people, community, tech, and tools around observability.
Since we launched Grafana Mimir — the most scalable, most performant open source time series database in the world — we have answered many of your questions about our latest open source project, including how to pronounce it. (All together now: /mɪ’mir/.) We have walked through how we scaled Grafana Mimir to 1 billion active series. And we will be hosting webinars to showcase cutting-edge features like query sharding and the two-stage compactor.
