For the last few years, the entire networking industry has focused on analytics and mining more and more information out of the network. This makes sense because of all the changes in networking over the last decade. Changes like network overlays, public cloud, applications delivered as a service, and containers mean we need to pay attention to much more diverse information out there.

Even though 2022 hasn’t even ended, Gartner has already charted its top technology trends for 2023. In this blog, we’ll look at how Applied Observability for networks — which Gartner lists as one of the top three trending technology topics in the “optimization” category — helps the organization translate network performance into business performance.

In the world of observability, there are several distinct problems to solve. Fast queries, intuitive visualizations, scalable storage, and more. The technical problems receive the most attention; however, there is another, more subtle problem. How do observability platforms facilitate collaboration on the scale needed by organizations?

The rise of modern applications has kicked basic monitoring tools to the curb. With observability, teams can proactively know, in real-time, what’s happening across the entire stack. Observability allows us to take a holistic view of our IT systems and learn about the current state based on the environment and the data it generates. But how do you properly implement observability? Here are 6 guiding principles to make sure your IT and DevOps teams are set up for success.

Today, organizations are moving toward distributed systems to provide top-notch application services. This trend has made both observability and monitoring essential practices. As observability and monitoring are often used interchangeably, many people tend to get confused. It’s crucial to understand the difference between the two to use the right approach for a given scenario.

On November 16, 2022, I sat down with analyst KellyAnn Fitzpatrick from RedMonk to discuss my favorite topic: observability. This time, we looked at observability in a context of what to do and what to avoid doing as you’re starting and going on an observability journey. Click the image below (or here) for a replay of the session. A machine-generated transcript is available at the end of the post.

A logging framework is a software tool that helps developers output diagnostic information during the execution of a program. This information is used to debug the program or monitor its performance. There are many different logging frameworks available, starting with simple logging libraries to full-fledged logging and observability platforms.

I’m frequently asked about why customers select SolarWinds® Hybrid Cloud Observability. Given the wide variety of options available, I thought it would be helpful to put together a compilation of what customers have told us as their top reasons for making the switch.

Over the years, as companies have moved from monolith to cloud-native architectures, maintaining high availability has become more challenging. After all, today’s IT ecosystems are complex, distributed and ephemeral, making it increasingly difficult (and, in many cases, downright impossible) for DevOps practitioners and SREs to identify and fix issues manually.

You may get lucky this holiday season with a new 3D printer, either as a gift or something you give yourself as a reward for all your hard work this year. Household 3D printers have made tremendous strides in ease of use and affordability over the last decade.