Operations | Monitoring | ITSM | DevOps | Cloud



Your guide to Kubernetes Dashboards

As a developer, it can become challenging to manage Kubernetes and develop applications simultaneously. That’s why we put together this guide to show you how the Kubernetes Dashboard can help developers overcome this problem and get an overview of the cluster and its workloads. From this, developers can focus more on application development while stressing less on cluster management.

squared up

Grafana vs. Power BI vs. SquaredUp

You’re part of a data-driven engineering team. You have a rich, complex, and dynamic set of tools but you’re struggling to discover and share insights from all that data. So, you're looking for a platform that will help unify it all. Naturally, you want to compare Grafana vs. Power BI - the big names. Plus, there's a new player on the block - SquaredUp.


TraceQL: a first-of-its-kind query language to accelerate trace analysis in Tempo 2.0

The much-anticipated release of Grafana Tempo 2.0, which we previewed at ObservabilityCON 2022, will represent a huge step forward for the distributed tracing backend. Among the biggest highlights will be TraceQL, a first-of-its-kind query language that makes it easier than ever to find the exact trace you’re looking for. There’s supposed to be a video here, but for some reason there isn’t. Either we entered the id wrong (oops!), or Vimeo is down.


Visualize everything with Uptrends Grafana integration

Grafana is long known as a leading open source platform for those needing beautifully rich, composable operational dashboards. The notion of being able to connect disparate data sources to Grafana for improved monitoring of infrastructure, log analytics, and overall better operational efficiency is an increasingly alluring prospect for those in fintech, ecommerce, and other industrial sectors.


Grafana 9.3 release: Enhanced navigation, Grafana localization, Grafana Alerting updates, and more!

Welcome to Grafana 9.3! Get Grafana 9.3 In our continued efforts to make Grafana more accessible and easier to use, we are excited to showcase new updates to improve navigation, introduce localization, and much more. Read our What’s New documentation to learn all about the latest release and for more details, refer to the changelog.


How Banco Itaú tracks 1.5B daily metrics on-prem and in AWS with Grafana and observability

Brazil’s Banco Itaú is the largest bank in Latin America, so when performance and uptime issues impact its applications, the reverberations can be massive. “It can impact the whole economy of Brazil. It can damage other banks’ business too,” Ana Paula Genari Martin, SRE manager at Banco Itaú, said in her recent ObservabilityCON talk. And keeping those applications running is no small feat, considering the size of their digital operations.


Seeing vs. Understanding - The Power of Visualization

It’s common in our everyday language to conflate seeing and understanding when the two are actually very different things. For example, if every day for the last few years we spoke briefly and wrote down the total number of Covid cases in the world, it would be easy to see some trends in the data—you would see the data. But if we present the same data drawn as a chart, it’s easy to understand where the spikes and dips are and when the situation got really bad.


Grafana crosses 1 million mark for active instances

It’s hard to think of a use case that Grafana hasn’t been used for. When Torkel Ödegaard launched the Grafana open source project with his first commit in December 2013, “my goal was to make time series data accessible for a wider audience, to make it easier to build dashboards, and to make graphs and dashboards more interactive,” he said.


Grafana Worldmap Panel

Grafana Worldmap is a free-of-cost panel used to display time-series metrics over a world map. Users can choose to visualize their data based on cities, states, countries, or any other segregation they like as long as they have a coordinate for each data point. Each data point comes in the form of circles that vary in size depending on the value of data and can get color-coded as per thresholds.