Grafana v7.3 has been released! With Grafana 7.0, we rounded out our observability story by making tracing a first-class citizen in Grafana alongside metrics and logs. That release included integrations with Jaeger and Zipkin, and earlier this month, we announced our integration with AWS X-Ray. At ObservabilityCON on Monday, we announced Grafana Tempo, our new open source distributed tracing system. Tempo is massively scalable, cost-effective, and easy to operate.

ObservabilityCON 2020 is live! This week Grafana Labs is bringing together the Grafana community for talks dedicated to observability. We hope you’re able to catch the great sessions we have planned. You can find the full schedule on the event page, and for additional information on viewing, participating in Q&As, and more, check out our quick guide to getting the most out of ObservabilityCON. Day 2 was dedicated to all things Prometheus — featuring new solutions and in-depth case studies.

Let’s talk through a scenario: You have a Linux-based VM running on DigitalOcean (aka a Droplet), and you install Netdata on it using our recommended kickstart script. As the installation process winds down, the Droplet starts up the Netdata Agent’s web server and serves the local Agent web dashboard on port 19999.

When troubleshooting a SQL Server issue, you don’t need all of those single-use dashboards in the SCOM console. You really only need one interactive diagram to help you identify the root cause in a few clicks – and SquaredUp’s Visual Application Discovery and Analysis (VADA) tool is just that. With this tool, you can also quickly and easily look at all of the servers that make up an application.

ObservabilityCON 2020 is live! Over the next few days, Grafana Labs is bringing together the Grafana community for talks dedicated to observability. Day 1 was filled with several new announcements about exciting projects and feature enhancements we’ve been working on for our customers and community. And there will be a lot more to learn about this week, like the session on Loki 2.0 on Wednesday.

Grafana Labs is proud to announce an easy-to-operate, high-scale, and cost-effective distributed tracing system: Tempo. Tempo is designed to be a robust trace id lookup store whose only dependency is object storage (GCS/S3). Join us in the Grafana Slack #tempo channel or the tempo-users google group to get involved today!

We often say that Honeycomb helps you find a needle in your haystack. But how exactly is that done? This post walks you through when and how to visualize your data with heatmaps, creating a log scale to surface data you might otherwise miss, and using BubbleUp to quickly discover the patterns behind why certain data points are different.

Sometimes an organization gets bogged down with the details. It happens. You have all of this fantastic data in SCOM, and you’re trying to share it, but your users don’t care. That’s not true. They care, but what they don’t care about is the server. To put it another way, they care if the service or application they depend on is working. But here’s the catch, you can’t do this in SCOM.

Snowflake offers a cloud-based data storage and analytics service, generally termed “data warehouse-as-a-service.” The main benefit of Snowflake is that you pay for compute and storage that you “actually use,” so it’s not “just another database.” Snowflake has become very popular over the last few years, culminating in a huge IPO just a couple of weeks ago, by allowing enterprise users to affordably store and analyze data using cloud-based hardware and software