Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Prove Your SLAs: How Yext Ties Synthetic Monitoring to SLOs with Checkly (Live-Webinar)

Yext uses synthetic monitoring to prove and meet SLAs, by tying Checkly checks directly to SLOs and user-facing SLIs. Stefan (Developer Relations), Braxton (Solutions), and Shikhar (Engineering Productivity at Yext) cover the SLA/SLO/SLI basics, the math behind "all these nines", and how Yext turns those targets into concrete checks with monitoring as code.

Become a PowerPack Picasso: A Discussion About Skylar One Studio

If Sklyar One is your canvas, then Skylar One Studio is where you develop your art. In this session, we’ll dive into the latest tools that allow you to quickly and easily build new PowerPacks. You’ll learn how to build beautiful PowerPacks, without having deep Python knowledge, which work quickly, have great performance, are secure, and easy to support; all thanks to the extensibility of ScienceLogic tools using the latest and greatest innovations in content development. Your next masterpiece is at your fingertips!

Where do you see organizations hitting their limits?

In this clip, Virtana Chief Product Officer, Amit Rathi explains why more data does not automatically lead to better operations. As system complexity grows, organizations are collecting more telemetry than ever while struggling to turn it into actionable insights. At the same time, rising observability costs are forcing some teams to monitor only part of their environments. Watch the video to learn why intelligence, not just visibility, is becoming essential for modern IT operations.

Seer, the Sentry MCP and CLI, or your own coding agent: where each one fits

I’ve been getting some version of this question a lot lately, mostly in our Seer preview webinars. Different audiences, same handful of questions: Worth answering all three in one place. Honestly, I needed to write this down for myself too. Things are moving fast around all of us and answers seem to get more nuanced by the week. This is an attempt to codify the difference: what each option is and when it makes sense to reach for one over the other.

Databricks' native monitoring resources

In the first part of this series, we cataloged key metrics for Databricks data engineering, analytics, and Model Serving workloads. In this post, we’ll discuss how to collect those metrics and other telemetry data from Databricks and Apache Spark, which powers Databricks under the hood. We’ll cover collecting and querying telemetry data via system tables, as well as the other primary sources of visibility into.