Operations | Monitoring | ITSM | DevOps | Cloud

If you want to know exactly what’s on your network and how it’s all connected in real time, then network observability is the answer. Network observability pulls data from sources across your network infrastructure to model a detailed view of your systems and how they interact. This lets you understand exactly what’s happening on your network at any given moment so you can optimize performance.

Internet of Things (IoT) devices are everywhere you look. From the smartwatch on your wrist to the security cameras protecting your offices, connected IoT devices transmit all kinds of data. However, these compact devices are different from the other technologies your organization uses. Unlike traditional devices, IoT devices lack a standardized set of security capabilities, making them easier for attackers to exploit.

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.

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.