Operations | Monitoring | ITSM | DevOps | Cloud

Overprovisioning or underprovisioning your Kubernetes resources can have significant consequences on both your budget and your app performance. By underprovisioning your Kubernetes infrastructure, you’ll end up with lagging, underperforming, unstable, or non-functional applications. On the opposite end of the spectrum, overprovisioning is a costly issue: Organizations spent almost $500 billion on cloud resources in 2022, yet an estimated 30% of those were wasted.

Grafana 9.4 is here! Get Grafana 9.4 With the latest Grafana release, we’re introducing a wealth of new features and improvements that makes getting started with Grafana even easier and that take your visualizations and observability best practices to the next level. In addition to enabling TraceQL, the new query language for distributed tracing in Grafana Tempo 2.0, for all Grafana Cloud users, the Grafana 9.4 release comes with a fresh round of features.

Railway passengers may think of trains simply as a way to get from one place to another, but at Siemens Mobility — a rail transportation company dedicated to delivering sustainable, smart transport — they are that and much more. Siemens Mobility works with more than 3,000 partners, and its customers include Eurostar and Trans Pennine Express. In the U.K., Siemens Mobility maintains about 500 train units and logs 65 million passenger miles per year.

This panel is in alpha version and still in development. To use it as is, you need to modify your configuration file and set enable_alpha = true in the panels section. More information can be found on this page. Two-dimensional graphics are the de facto way to visualize data within the observability realm, and Grafana is really good at plotting data this way.

Prometheus metrics are usually visualized as numeric values on a graph, with the metrics categorized by labels. But what do you do when the numerical value doesn’t matter, and all of the information is in the labels? In that case, you might need to visualize the labels themselves. This scenario can arise because you’re not always in control of how the metrics get reported, but you do often need to visualize what’s there.

Think of a monitoring tool — any monitoring tool. Got it? Good. Odds are, whatever came to mind was probably being used behind the scenes at Wells Fargo not too long ago. “You name it, and we probably had it at Wells Fargo,” said Senior Software Engineering Manager Nikhilesh Tekwani of the complex web of observability solutions that stretched across the U.S.-based financial institution.

Working with technology means dealing with incidents or outages from time-to-time, so staying on top of problems is essential. Back in the spring of 2022, Clearco, the world’s largest e-commerce investor, had an alerting system set up to catch issues, except they had one problem: Clearco’s Customer Success team would learn of a problem before a notification even went off.

I lead the Grafana Loki project here at Grafana Labs, and I’ve always loved building things professionally and in my personal life, whether we’re talking about metalworking or coding — or, more recently, 3D printing. A couple years ago, I purchased my first 3D printer, a Prusa i3 MK3S+. I use it periodically to build functional items I use around my house in Upstate New York. For example, I recently decided to build a solar radiation shield for my outdoor weather station.

With k6 Cloud, Grafana Labs is in the business of generating load — lots of load, distributed across a cluster of computers. So while our customers care about the systems they load, we care that our system can generate the load that they need and process the test metrics for them in an intuitive, explorable way.

Customers choose Embrace to help mobile development teams build fantastic mobile app experiences. Embrace provides best-in-class mobile insights that help users prioritize, understand, and resolve issues. All of which leads to better development decisions. But in modern software engineering, no team exists in a vacuum.