Operations | Monitoring | ITSM | DevOps | Cloud

Regardless of how much effort teams put into developing, training, and evaluating ML models before they deploy, their functionality inevitably degrades over time due to several factors. Unlike with conventional applications, even subtle trends in the production environment a model operates in can radically alter its behavior. This is especially true of more advanced models that use deep learning and other non-deterministic techniques.

API monitoring is crucial for the health of your digital services. This article goes straight to the heart of it, addressing the tools, strategies, and metrics essential in spotting and solving API issues quickly. Learn to maintain and enhance the performance of your APIs, prevent downtime, and improve user experiences through effective monitoring techniques.

I recently had the privilege of attending KubeCon + CloudNativeCon Europe 2024 in Paris. The conference, hosted by the Linux Foundation, marked the 10th anniversary of Kubernetes. Here are the key takeaways and highlights from the conference.

Top tips is a weekly column where we highlight what’s trending in the tech world today and list out ways to explore these trends. In this week’s edition, we’re going over how generative AI can help content creators improve the quality of the content they put out. ChatGPT’s release in November 2022 launched generative AI to the very forefront of the technological landscape. For a few months after that, it seemed like all people were talking about was generative AI (GenAI).