Operations | Monitoring | ITSM | DevOps | Cloud

We’ve come a long way in a short time and that is thanks to you, our customers. Cribl set out to listen to our customers and use that to guide us forward. Today we’re announcing Cribl Edge, a next generation agent designed to to scale your most precious commodity; you. We’re also announcing a name change to the product formally known as LogStream. Now, as with all our releases, it doesn’t stop there. We have some upgrades that all go towards allowing you to scale.

In 2022, administrators are still managing agents which collect data for observability and security the same way they did 15 years ago: typing in configuration files by hand. A lot has changed since 2006 when Amazon announced AWS. Instead of racking and stacking servers in data centers, we’re spinning up compute resources in a variety of forms – at the click of a button, or automatically through APIs.

It’s been a busy Winter at Cribl! Today we are officially announcing Cribl Edge, a next-generation agent that expands the scope of observability. In Edge, we’ve taken the very concept of “agent” and given it a Cribl power-up by taking our best-in-class observability pipeline technology built into Cribl Stream and moving it all the way out to edge systems.

Welcome to another iteration of What’s New in Sysdig in 2022! The “What’s new in Sysdig” blog has fallen to me, Jason Donahue, for the month of March! I am a Solutions Engineer based in New Jersey and a member of the Sysdig US East Enterprise team since September, 2021. I have worn many hats in my career, from Networking to Systems Administration to Software Engineer.

Observability is a new term that’s slowly entered the mainstream over the last two years. Today it’s used in the context of monitoring, but it’s much more than that. And it also goes way beyond visibility. So, in this blog, we set out to explore observability vs visibility and find out, what’s the difference? In a recent podcast, our friends at Riverbed neatly explained that seeing and observing are two different things, and can be compared to hearing vs listening.

If you have worked in any part of the application delivery lifecycle long enough, there’s a very good chance you have directly used or been a consumer of Nagios. For a period of time in the early 2000s, it was the go-to solution for basic server monitoring and alerts. Fast forward 20 years and you might be surprised how many organizations still rely on Nagios for mission critical workloads — although not without a fair amount of duct tape and super glue challenges.

Establishing your business’s online presence has become a fundamental need rather than a secondary step. In the wake of the 2019 pandemic, a large chunk of interaction, social and business, has escalated online. The user’s journey is as important as functionality to stand out in the crowded digital marketplace.

Software engineering teams that adopt “as-code” practices, like using configuration files and automated workflows instead of manual configuration and tools, gain major improvements in velocity. But even companies that enjoy the success of as-code practices for development and delivery lag behind in applying them to operational concerns like monitoring and observability.

Relabeling is a powerful tool that allows you to classify and filter Prometheus targets and metrics by rewriting their label set. The purpose of this post is to explain the value of Prometheus’ relabel_config block, the different places where it can be found, and its usefulness in taming Prometheus metrics. Much of the content here also applies to Grafana Agent users. For reference, here’s our guide to Reducing Prometheus metrics usage with relabeling.

I wrote a lot about the performance metrics of the equals method and hash code in this article. There are many nuances that can lead to performance problems in those methods. The problem is that some of those things can be well hidden. To summarize the core problem: the hashcode method is central to the java collection API. Specifically, with the performance of hash tables (specifically the Map interface hash table). The same is true with the equals method.