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Dashboards

How to easily configure Grafana Loki and Promtail to receive logs from Heroku

Heroku is a cloud provider well known for its simplicity and its support out of the box for multiple programming languages. When thinking about consuming logs from applications hosted in Heroku, Grafana Loki is a great choice. But in the past, shipping logs from Heroku to any Loki instance required ad-hoc scripts to fiddle with Heroku’s logs format and send them. This can be a time-consuming experience.

Grafana Cloud Metrics: A guide to what metrics to monitor and best practices

Metrics are the cornerstone of an observable system – they tell you a system’s measured outputs, granting visibility into what your customers are experiencing and when there’s a problem. However, not all methods for recording and saving metrics from a system’s output are alike. The best method for shipping your system’s metrics to Grafana Cloud depends on many factors, varying from the source of your metrics data to your familiarity with observability tools.

Is your plugin compatible with Grafana? There's a tool for that!

Here at Grafana Labs, we’re always striving to reduce the amount of effort needed to maintain plugins across different versions of Grafana. That is why we’re excited to provide you with a tool to check the compatibility of your plugin with the latest Grafana plugins API. We know that it can be frustrating for developers to find out people can’t use their plugins. Over the past few months, we’ve been working on detecting the breaking changes as soon as they happen.

Intro to Grafana Incident

In this video, you’ll learn how Grafana Incident offers a complete incident management process out of the box in Grafana Cloud, so you can save time and focus on what’s important when things go wrong. Grafana Incident is available to all free and paid Grafana Cloud users. If you’re not already using Grafana Cloud — the easiest way to get started with observability — sign up now for a free 14-day trial of Grafana Cloud Pro, with unlimited metrics, logs, traces, and users, long-term retention, and premium team collaboration features.

Building Grafana dashboards for a large-scale deployment in a tight timeline: Inside Cisco Live

How many Marvel movies’ worth of Internet traffic do 28,000 conference goers create during a five-day Cisco Live event? There’s a Grafana dashboard for that. Cisco Live is the network industry’s largest annual event, delivering education and inspiration to technology innovators worldwide with a week’s worth of programming keynotes, product announcements, entertainment, and more.

How to deploy the Grafana stack using Podman

You may be asking yourself: What exactly is Podman? Podman is short for Pod Manager and is a daemonless, open source container engine alternative to Docker that allows for rootless containers. Podman is available for Linux, Mac, and Windows operating systems. It only requires a simple and easy install on RPM-based Linuxes, such as Red Hat Enterprise Linux, CentOS, Rocky, or AlmaLinux.

Dashboards that Replace your Release Manager

Back in my day, our offices used to have an “open concept” layout – just rows of desks. And at the end of every row was a 720i LCD TV showing 4 to 5 key metrics we’d watch after every release with great concern. While those wallboards sure were beautiful, we rarely had a clear view on how a release was trending. With our latest update to Dashboards, we’re joining form and function with Release Health widgets and a new release filter.

New in Grafana Mimir: Introducing out-of-order sample ingestion

Traditionally the Prometheus TSDB only accepts in-order samples that are less than one hour old, discarding everything else. Having this requirement has allowed Prometheus to be extremely efficient with how it stores samples. And in practice, it really hasn’t really been much of a limitation for users because of the pull-based model in Prometheus, which scrapes data at a regular cadence off of the targets being observed. Several use cases, however, need out-of-order support.