Operations | Monitoring | ITSM | DevOps | Cloud

Site Reliability Engineers are expected to know everything that’s happening, all of the time. That’s a lot of things! To help you sift through the noise, we’ve developed a feature that lets you find accurate data about your organization on-demand. You can do this by sending custom-designed commands to FireHydrant directly from your integrated Slack account.

In a recent experiment with my colleagues, I polled them about the following: “What would they do if the lights went out as you worked at night?” Besides identifying the funny and who-you-want-in-case-of-an-emergency responses, most of my colleagues checked to see if the problem might be broader than their own home.

The success of data-driven initiatives for enterprise organizations depends largely on the quality of data available for analysis. This axiom can be summarized simply as garbage in, garbage out: low-quality data that is inaccurate, inconsistent, or incomplete often results in low-validity data analytics that can lead to poor business decision-making.

Broadly speaking, the Linux community can be divided into two camps – those who upgrade their operating systems in-vivo, whenever there is an option to do so in their distro of choice, and those who install from scratch. As it happens, the former group also tends to rarely reinstall their system when problems occur, while the latter more gladly jump at the opportunity to wipe the slate clean and start fresh. So if asked, who should you listen to?

In buildings today, there are numerous systems that require regular maintenance or that need attention as quickly as possible if problems are detected. This applies, for example, to heating systems, air conditioning, cooling, ventilation, elevators or fire alarm systems. Modern facility management systems are able to reliably monitor such systems.

When it comes to securing your production environment, it’s essential that your security teams are able to detect any suspicious activity before it becomes a more serious threat. While detecting clear-cut attacker techniques is essential, being able to spot unknowns is vital for full security coverage.

This week, Gartner published the 2021 Magic Quadrant for Application Performance Monitoring, which positions vendors according to their ability to execute and the completeness of their vision. This year, Datadog placed higher and further in both categories to move from our previous “Visionary” distinction, which we received the first time we were included on the Quadrant, into the “Leader” quadrant.

Dana Fridman is a design guru. Her contributions to UX at Logz.io are unmatched, and her input on upcoming updates to our app’s UI will be an achievement. But her portfolio is getting more than just Logz.io projects right now. As part of her work here, she is also making her mark on Jaeger. You see, Dana is the major design contributor to the open source Jaeger project. Open source contributions tend to be backend-focused and the domain of developers.