As a product manager here at Grafana Labs, I’ve learned that sometimes the most powerful features can sneak by unnoticed, buried in those three little dots off to the side of the panel. But what happens when one of those hidden gems suddenly becomes the star of the show? Recently, we released a new Kubernetes Monitoring feature in Grafana Cloud—an alert system you can use to create alerts from panels in the app.

With every job I have, I come across a new observability tool that I can’t live without. It’s also something that’s a superpower for us at incident.io: we often detect bugs faster than our customers can report them to us. A couple of jobs ago, that was Prometheus. In my previous job, it was the fact that we retained all of our logs for 30 days, and had them available to search using the Elastic stack (back then, the ELK stack: Elasticsearch, Logstash, and Kibana).

Cribl employees are renowned for their insatiable curiosity, especially when it comes to their passions. Having been a technical writer for most of my adult life, this goat is deeply passionate about two things: writing engaging content and understanding the mindset of our users. As one of our founders always says, “Software is a people business.” To make my users successful, I need to know how they think. But what if the “user” is a machine? This goat is intrigued.

The UIMAPI is a RESTful API. With UIMAPI you can programmatically perform almost any action in your DX UIM environment. Using the Swagger front-end as a guide, you can manually execute REST endpoints. However, many customers would rather use a program to automate these actions.

About a year ago, Honeycomb kicked off an internal experiment to structure how we do incident response. We looked at the usual severity-based approach (usually using a SEV scale), but decided to adopt an approach based on types, aiming to better play the role of quick definitions for multiple departments put together. This post is a short report on our experience doing it.

Considering implementing load balancing? Slow websites and website downtime are more than just nuisances. One study found that slow-loading websites cost online retailers more than $77 billion each year in lost sales. Over half of consumers cite a slow webpage as the main reason for abandoning an online purchase, and just under half will not return to a website after a bad experience.

Understand why tracking cumulative resource consumption is crucial for accurate process monitoring.

Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.

To prevent visibility gaps in your cloud environment, you need to efficiently deploy observability solutions that integrate easily with key technologies in your stack and scale reliably with new applications and migrated workloads. But observability deployments can be complex, often requiring deep and specific knowledge that may not be available within your teams.

System Management software is a powerful ally for IT teams, making complex environments more manageable, more secure, and easier to monitor. With systems and devices multiplying and growing in complexity, keeping track of them can become a monumental task. That’s where System Management software steps in – bringing order to chaos and control to IT assets. In this post, we’re diving into the top 10 System Management software for 2025.