A couple months ago, we hosted a week of community-led SCOM workshops and networking. These hands-on workshops took a deep dive into a series of topics handpicked by the SCOM community itself – and we are thrilled that the community found it valuable, as we learned from our post-event survey.
GitLab is one of the most popular web-based DevOps life-cycle tools in the world, used by millions as a Git-repository manager and for issue tracking, continuous integration, and deployment purposes. Today, we’re pleased to announce the first beta release of the GitLab data source plugin, which is intended to help users find interesting insights from their GitLab activity data.
In our previous post on Grafana and SquaredUp, we compared the two tools across various benchmarks like ease of deployment, time to value, dashboard creation, dashboard sharing, and more. Both tools have their specific advantages over the other, but since the ultimate goal is to give you a single place to look – why not leverage Grafana for the visualizations and data sources it offers, but give them meaning by embedding them in SquaredUp?
Transformations were introduced in Grafana v7.0, and I’d like to remind you that you can use them to do some really nifty things with your data. All performed right in the browser! Transformations process the result set of a query before it’s passed on for visualization. They allow you to join separate time series together, do maths across queries, and more. My number one use case is usually doing maths across multiple data sources.
Network administrators are responsible for the day-to-day operation of computer networks at organizations of any size and scale. Their primary duty is to manage, monitor, and keep a close watch on the network infrastructure to prevent and minimize downtime. Managing a network includes monitoring all the network components, including Windows devices. In any Windows network, the desktops, servers, virtual servers, and virtual machines (VMs), like Hyper-V, run on the Windows operating system.
Greetings! This is Mike reporting from the Solutions Engineering team at Grafana Labs. In previous posts, you might have read our beginner’s guide to distributed tracing and how it can help to increase your application’s performance. In this post, we are back to talk about metrics and showcase another one of our newest favorite Enterprise plugins: Splunk Infrastructure Monitoring (formerly known as SignalFx)!
In my prior three blog posts, we set some ground rules, looked at some out-of-box dashboards, overloaded an in-box property, and finally created an innovative structure to communicate status using SquaredUp's EAM feature. Looking back, when I started this blog, I explicitly stated that traditional monitoring wasn't our goal. It's essential, but the industry (in broad terms) hasn't been successful with monitoring when the only focus is on the infrastructure perspective.
Grafana Cloud is the easiest way to get what you need for observability: Prometheus and Graphite for metrics, Loki for logs, and Tempo for tracing, all integrated within Grafana and managed by the Grafana Labs team. You can go from zero to beautiful graphs, insightful logs, and preconfigured alerts in minutes. Built with modern distributed systems techniques, Grafana Cloud allows you to grow with your applications and infrastructure and easily scale past 100M+ metrics.
Datadog dashboards provide a foundation for monitoring and troubleshooting your infrastructure and applications, and template variables allow you to focus your dashboards on a particular subset of hosts, containers, or services based on tags or facets. We’re pleased to announce template variable associated values, which can help you speed up your troubleshooting by dynamically presenting the most relevant values for your template variables.
In my prior two blog posts, we focused on creating a bunch of Enterprise Applications (EAs), tagging those EAs, and then updating the Status dashboard to only show those EAs that are Critical Service Offerings (CSO). For this blog post, we will create some relationships and demonstrate how alerting behaves using SquaredUp's Manual Reporting Availability functionality available in the EAM tier of the product. For this post, we're going to do amazing stuff!
OpenTelemetry is a CNCF project that standardizes observability (logs, metrics, and traces) across many languages and tools. Today we will look at how we can use the OpenTelemetry .NET library to instrument a .NET 5.0 web API, to offload traces to Tempo and logs to Loki in Grafana Cloud. Grafana Cloud now has a free plan. Set up your account and follow along!
In Grafana 7.0, we introduced a new panel architecture to enhance the UX and visualization options and create a more consistent experience across Grafana. In Grafana 7.4, we expanded on that foundation and introduced the next-generation graph panel called Time series panel, which is currently in beta. The Time series panel uses the panel architecture of Grafana 7.0 and integrates with field options, overrides, and transformations.
Successful businesses don’t sort data — they shape it. Discover, Sentry’s query builder, gives form to your event data so you can measure performance and trace issues across all your projects. Here’s how.
I’ve been an open source fan and user for many, many years, going back to before we defined the term “open source” and we called it “free software.” Whenever and wherever possible I prefer to have control over the software I run on my devices. Case in point: My internet router runs OpenWrt, which is a free/open source Linux operating system designed to replace the software provided by the router’s manufacturer.
Grafana v7.4 has been released! The big news for Grafana 7.4 is the next-generation graph panel called time series, which is in beta. A high-performance visualization based on the uPlot library, it uses the new panel architecture introduced in Grafana 7.0 and integrates with field options, overrides, and transformations.
Are you suffering from overspending in Azure, lack of cost visibility and lack of context? You’re not alone; Azure cost management is a problem we hear about time and time again. That is why we created top-notch cost tiles that would allow users to build the perfect Azure cost dashboard, and help them quickly identify overspends and expensive resources in their Azure tenant.
As one of the three pillars of observability, along with logs and traces, digesting metrics is a crucial part of any ITOps admins’ job. Metrics are a numeric representation of data measured over intervals of time and thus can derive knowledge of system behavior historically, which can help predict future patterns of behavior and inform investigations of issues and incidents.
Our Makefile entry point for developing against the Mattermost Server already tries to simplify things for developers as much as possible. For example, when invoking make run-server, this build tooling takes care of all of the following (among other things!).
