A little over a year ago, we released Grafana Machine Learning, enabling Grafana Cloud Pro and Advanced users to easily view forecasts of their time series. We recently enhanced Grafana Machine Learning with Outlier Detection, which allows you to monitor a group of similar things, such as load-balanced pods in Kubernetes, and get alerted when something starts behaving differently than its peers.

With Eco’s automated reservation management, maximizing savings on your cloud bill and increasing your team’s bandwidth is easy. The new dashboard now includes responsive modular components and an improved commitment filter, so tracking savings and monitoring your environment is even easier.

We are thrilled to kick start 2023 with an exciting announcement: Slight Reliability is now a part of SquaredUp! Keep reading to learn how this partnership began, in an exclusive interview snippet with our CEO Richard Benwell and Slight Reliability host Stephen Townshend.

David Calvert is a site reliability engineer working remotely from the south of France. He’s currently focused on observability, reliability, and security aspects of cloud infrastructure. You can find him as dotdc on GitHub and @0xDC_ on Twitter. Over the past three years, I’ve built and operated Kubernetes clusters for two different companies — the first one on-premises, and the second on a public cloud platform for my current job at Powder.

Anyone who is trying to set up monitoring for multiple machines knows how tough it can get to manage multiple Grafana Agents across them. To make things easier, we recently added the Grafana Agent role to the Grafana Ansible collection, which will help users manage the Agent across multiple Linux hosts. (Need to know how to get started with the Grafana Ansible collection for Grafana Cloud?

In 2017, Just Eat Takeaway.com (JET) was transitioning from a scrappy startup to a surging scaleup. With a global customer base and workforce, the food delivery marketplace’s front line teams needed to scale the real-time monitoring of the platform. Their initial efforts looked like “NASA’s mission control with Grafana dashboards,” said Senior Technology Manager Alex Murray.

Whether you’re a DevOps, SRE, or just a data driven individual, you’re probably addicted to dashboards and metrics. We look at our metrics to see how our system is doing, whether on the infrastructure, the application or the business level. We trust our metrics to show us the status of our system and where it misbehaves. But do our metrics show us what really happened? You’d be surprised how often it’s not the case.

For the team at JPMorgan Chase, the daily stakes of having a stable system are high. “We are in the business of making sure that trades are executed, and systems are stable and up and running for a positive client experience,” said Askari Imam, VP, Asset Wealth Management (Product and Integration Delivery).

Dashboards are powerful tools for monitoring and troubleshooting your system. Too often, however, we run into an incident, jump to the dashboard, just to find ourselves drowning in endless data and unable to find what we need. This could be caused not just by the data overload, but also due to seeing too many or too few colors, inconsistent conventions or the lack of visual cues.