alwaysOn

Photo by Jorge Coromina  on Unsplash Over the past week or so I have been working on coding an agent ant colony that restores service to a running application. The agents don't do complex RCA, log tickets, interact with engineers etc.. They just keep the application up and running. It was definitely fun, and I learned some interesting and useful things. What I built: A simple python based web ordering application with a front end supported by two micro-services each with

Photo by Dean Pugh  on Unsplash Agentic platforms are everywhere and we are pushing forward to use more and more AI driven software. As Site Reliability Engineers we need to really think about what it means to run diverse agent platforms at scale. We need to think about what needs to be in place to make them manageable. How do we know right now that our agents are working? What do we need to see in the logs to troubleshoot when they don't? What data needs to be gathered a

Photo by Gaspar Uhas  on Unsplash Following through on the the fundamental assumption that the key to solving a problem is understanding what that problem is and being able to ask the right questions about that problem to expose how to create a solution, it's time to step back and take a quick review of what it is that we, the AI Enabled SRE community, are talking about when we discuss AIOps. When we look at IT Operations through the lens of how we implement AIOps we deal wi

Photo by Camylla Battani  on Unsplash "If I had an hour to solve a problem, I'd spend 55 minutes thinking about the problem and 5 minutes thinking about solutions." Albert Einstein I've been thinking about Bas Pluim's comment from my post the other day. It isn't a new thought but it is a really important one. As I look back on my career, it is clear how much time we (as an industry) spend solving the wrong problem and Bas's comment about not just achieving a goal but taking