AI-enabling your systems is easy if you believe the brochures in your inbox. Wrap the system you already have in an MCP server, point a model at it, done. By the end of the day, you can ask your CRM questions in plain English and watch it update records. Cheap,
The real transformation begins when the ML lifecycle becomes declarative, observable, and recoverable. As Vara Bonthu described in a recent CNCF article, the great migration of AI workloads to Kubernetes is well underway. Training jobs run in containers, inference services run as Deployments, and GPUs are scheduled across clusters. These
AI-enabling your systems is easy if you believe the brochures in your inbox. Wrap the system you already have in an MCP server, point a model at it, done. By the end of the day, you can ask your CRM questions in plain English and watch it update records. Cheap,
If you’re running a multi-AZ Kubernetes cluster with a service mesh on top, there’s a good chance you’re paying a tax you never signed up for, and it won’t show up as a line item on any dashboard you’re already watching. The Default Nobody Configures Kubernetes Services and Istio’s Envoy
Facing an unprecedented wave of software failures driven by artificial intelligence (AI), cloud computing provider PagerDuty Inc. on Tuesday unveiled Paige, an autonomous Site Reliability Engineering (SRE) agent designed to diagnose and repair technical disruptions alongside human engineers. The announcement comes as enterprises confront a structural shift in enterprise IT. Software is increasingly written, tested, […] [...]
All Day AI's virtual hackathon showcases autonomous AI agents, AIDLC innovation and how hackathons can accelerate DevOps transformation. [...]
AI coding agents are driving up CI workloads and costs. Discover five ways to accelerate monorepo pipelines while protecting software quality. [...]
