Operations | Monitoring | ITSM | DevOps | Cloud

Most teams keep an agent from regressing by hardcoding checks into its logic, an if-statement here, a regex there. Every new rule then becomes a code change, a review, and a deploy, and the person who spots the problem in production is rarely the person who can ship the fix. Agent Control moves those rules out of the code and into one hub. Steer, block, and validate agent behavior in real time, with rules any team member can update without touching the codebase.

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.

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!