We are excited to announce that we have a new dashboard pack on offer – this time for Tao Yang’s SCOM Self-Maintenance Management Pack! Earlier this year, our sister company Cookdown acquired Tao Yang’s MP, which (as its name suggests) basically ensures that SCOM is always running smoothly. It has a bunch of monitors, rules, views and tasks that help you monitor and maintain your SCOM Management Group.
Grafana Labs turned 5 on Oct. 4. And as a remote-first company, we decided it would be a great excuse to give our team members, who are scattered across 22 different countries, a chance to take their conversations off Slack and celebrate together in person. In London, Berlin, Stockholm, New York City, and Bangalore, Grafana Labs engineers, sales teams, solutions staff, HR, and marketing – everyone! – gathered to meet and mingle, to reconnect and reminisce.
In the industry, the long-held theory behind observability is that a successful stack consists of three key components – metrics, logging, and tracing. “This is a mental model for people who are often new to observability which helps them get a handle on what they need to implement to be successful,” said Grafana Labs VP of Product Tom Wilkie during a keynote presentation he delivered at KubeCon + CloudNativeCon EU in May alongside Red Hat Software Engineer Frederic Branczyk.
Screens display a series of widgets that you can use to share across your organization. Widgets can display your log activity, from the number of logs ingested in the last 4 hours, to a line graph comparing today’s logs to yesterday’s logs. You can control the data you want to display by creating a “Screen” with a combination of different widgets. Post your screen on a company monitor to provide your organization with a snapshot of your system’s activity.
At Grafana Labs, we are working to make it easier to visualize data that comes from many different sources and in many different ways. We know that our customers are usually using more than one system to track what’s going on within an infrastructure. If you are a system administrator, or even a curious developer, there is a very high probability that you are monitoring and quite regularly reviewing your logs to find valuable and important information in them.
I am a junior software engineer in Slovakia. I feel incredibly lucky that I’ve had this amazing opportunity to join Grafana Labs, as it was among the top companies that I’ve ever dreamed about working for. The only thing that I was slightly scared of was the fact that Grafana Labs is remote-first, and I would be working full-time from home.
Grafana Labs has 8+ clusters in GKE running 270 nodes of various sizes, and all the hosted metrics and hosted log Grafana Cloud offerings are run on 16-core, 64-gig machines. At the recent All Systems Go! conference in Berlin, David Kaltschmidt, Director, User Experience, gave a talk about what monitoring these clusters and servers looks like at Grafana Labs and shared some best practices.
LogicMonitor dashboards are powerful tools for viewing, troubleshooting, and drawing insights from your monitoring data in a variety of ways. Using LogicMonitor, you’ll likely interface with dashboards more than most other functionalities, so it’s important to optimize your workflow as much as possible. Dashboard tokens allow you to streamline dashboard creation and editing as well as limiting human error, especially at scale.
Earlier this month, Ivana Huckova, one of Grafana’s junior developers, wrote an article about how to contribute to Grafana as a junior dev. As an open-source project supported by engineers around the world, Grafana strongly encourages anyone to contribute. And ICYMI, there are many opportunities to help: Testing the UI and reporting issues, finding and fixing bugs, and improving the documentation are just a few.
In the beginning, there was a developer using Graphite, and he found its user interface lacking. Then he discovered the Kibana project, liked its UI, and forked it. Grafana was born in 2013. “I started Grafana to do something similar as Kibana, but focused on time series metrics. My goal was to make time series data accessible for a wider audience, to make it easier to build dashboards, to make graphs and dashboards more interactive,” says Torkel Ödegaard.
