What exactly are the “AIOps skills” that I am reading in some research papers? Are IT Ops now required to become data scientists or ML engineers?

I disagree. Cognitive psychology tells us exactly the expected outcome in this situation > “The process of making several albeit minor decisions can soon become overwhelming, resulting in decision fatigue leading to inconsistent and unpredictable outcomes” https://t.co/oMBirA9mG2

Now reading: “Augment Decision Making in DevOps Using #AI Techniques” published by @Gartner_inc

Glad to see that I’m not the only one calling this “post-real” @ctrlzee. I should have used a hashtag for every time I tweeted about something with that term… > Welcome to post-reality: Apple will now fake your eye contact in FaceTime https://t.co/Ampcmf6Qpr

Not recommended. https://t.co/WafX2xPo1U

@sysdig Sure. Write to: firstname @ benevolentemployer dot com

Now reading: “Security with #AI and Machine Learning” published by @OReillyMedia As is, it’s a highly interesting topic but I believe we have seen nothing yet in terms of AI-driven cyberattacks.

It’s funny how many container monitoring solutions seek to deliver holistic visibility into all aspects of the container world, but then they completely ignore that they are part of a much bigger observable picture, which requires integration with traditional monitoring tools.

“The container monitoring market has achieved some maturity, but the field…is still emerging. Integration with traditional infra mon tools is still not seamless, making it difficult to arrive at a single-pane-of-glass mon solution for all systems.” https://t.co/Q3cKK8A2Br

One of the fundamental problems of research is that still too few reports answer the question “How do I solve problem X?”. And the ones that do, don’t describe all possible approaches to solve problem X, irrespective of tools/technologies categorisation. Still too siloed approach