Sre

This was a week where the AI race got tangibly closer to your desktop, the Kubernetes ecosystem said goodbye to an old friend, and the observability world kept tightening its grip around OpenTelemetry as the universal standard. If you only have five minutes, the headlines are: GPT-5.4 can now operate your computer better than most humans, Ingress NGINX is officially done, and Google Cloud now speaks fluent OTLP. AI & Machine Learning OpenAI releases GPT-5.4 with native computer use — and it beats human performance. OpenAI’s latest frontier model isn’t just another benchmark bump. GPT-5.4 is the first general-purpose model to ship with production-ready computer use capabilities, scoring 75.0% on OSWorld-Verified desktop tasks — above the 72.4% human expert baseline. It supports up to 1M tokens of context, brings a new “reasoning plan preview” that lets users steer the model mid-thought, and introduces tool search for navigating large ecosystems of APIs and connectors. Available in ChatGPT (as GPT-5.4 Thinking), Codex, and the API. The agentic future just got a lot more concrete. Source: OpenAI ...

A quick recap on SRE Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems.[1] The main goals are to create scalable and highly reliable software systems. According to Ben Treynor, founder of Google’s Site Reliability Team, SRE is “what happens when a software engineer is tasked with what used to be called operations.” ^ Source: Wikipedia How much time do you spend coding? I get this question quite often: “How much time do you spend writing code?” ...