Dashboards

grafana

ObservabilityCON Day 3 recap: What's new in Loki 2.0, tracing made easy with Tempo, observability at the Financial Times, and a Minecraft NOC

Today is the last day of ObservabilityCON 2020! We hope you’ve had the chance to catch the talks so far, and will tune in live for today’s sessions. View the full schedule on the event page, and for additional information on viewing, participate in Q&As, and more, check out our quick guide to getting the most out of ObservabilityCON. If you aren’t up-to-date on the presentations so far, here’s a recap of day three of the conference.

grafana

Grafana 7.3 released: Support for the Grafana Tempo tracing system, new color palettes, live updates for dashboard viewers, and more

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.

geckoboard

How 4 companies foster remote teamwork and collaboration with Geckoboard

In 2020, according to a survey by Owl Labs, nearly 70% of full-time workers in the US are remote. As a result of the pandemic, many teams had to switch to remote work suddenly. They needed to figure out new ways to achieve the teamwork and collaboration they had in an office setting. Buffer’s State of Remote Work survey found that remote workers cited collaboration and communication as one of their biggest struggles.

grafana

ObservabilityCON Day 2 recap: The latest Grafana Cloud tools for Prometheus to improve alerting, debugging, and scaling. Plus why continuous monitoring matters now

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.

netdata

Netdata's dashboard: open by default and secure by design

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.

grafana

ObservabilityCON Day 1 recap: Loki 2.0 and Grafana Tempo announced, real-time observability with Redis, Grafana demos, a tester's perspective, and more

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

Announcing Grafana Tempo, a massively scalable distributed tracing system

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!

honeycomb

Handle Unruly Outliers with Log Scale Heatmaps

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.

geckoboard

7 Customer success metrics you should be prioritizing (but probably aren't)

Net promoter score. Customer churn rate. Monthly recurring revenue. These are all high-profile customer success metrics, prominently featured in most posts on the topic. There’s no denying these metrics have value – but do they really tell the whole story? Key performance indicators (KPIs) like net promoter score and churn rate tell you if there’s a problem or if your company is doing well overall. But to figure out what to do next, you need to dig a little deeper.