kubernetes
The Hidden Cost of “Just Works” Load Balancing in a Service Mesh
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 ...
How We Cut Kubernetes Deployment Validation From 45 Minutes to 2 minutes
There is a moment every release engineer knows well. The CI/CD pipeline turns green. The deployment job reports success. Everyone exhales for a second and thinks, “Okay, the release is done.” But ...
Stop Treating GPUs Like Web Pods
Kubernetes schedules accelerators as opaque integers, and your bill pays for it. Share the silicon, scale on the right signal and keep weights out of the image ...
Veera Ravindra Divi | | AI infrastructure, AI serving, autoscaling, cloud costs, cloud native AI, DCGM exporter, DRA, Dynamic Resource Allocation, GPU costs, GPU scheduling, GPU sharing, GPU utilization, GPUs, inference workloads, KEDA, kubernetes, Kubernetes GPU scheduling, LLM Inference, MIG, model weights, MPS, NVIDIA GPUs, NVIDIA MIG, Prometheus, scale-to-zero, time-slicing
Kubernetes Key Management Streamlined by HashiCorp Vault Plug-In
IBM HashiCorp has released a plug-in that allows Kubernetes clusters to use HashiCorp’s Vault Enterprise as an external key management service (KMS), eliminating the need to store unencrypted passwords or bog Kubernetes ...
A Green Kubernetes Deployment Does Not Mean a Healthy Application
The deployment finishes, kubectl rollout status reports success, and every pod shows Running and Ready. For most teams, that is the moment the release is considered done. Then a customer transaction fails ...
NVIDIA Is Putting Real Skin in the Open AI Game
Open AI requires community-governed infrastructure and companies willing to contribute code, engineering and costly GPU cycles. NVIDIA is doing exactly that ...
Container Runtime Security in Kubernetes: What Teams Overlook
Kubernetes security conversations tend to center on the things that happen on the left-hand side of the process. Scanning images, hardening Dockerfiles, and working with registry access controls all tend to frontload ...
The Foundation Was Already Poured
Techstrong's Experts Exchange this October, Cloud Native Now: The AI Stack, and this November's KubeCon in Salt Lake City are both making the same case for cloud native and AI. The argument ...
Alan Shimel | | agent governance, agent identity, agentic AI, AI agents, AI governance, AI infrastructure, AI security, AI stack, AI strategy, AI Workloads, cloud native, cloud native developers, cncf, enterprise AI, GPU scheduling, KubeCon, kubernetes, Kubernetes AI, MLOps, model serving, observability, platform engineering, sigstore, SLSA, software supply chain security
BellSoft Rings Change Bringing Zero-CVE Images to Buildpacks Users
BellSoft is bolstering Paketo Buildpacks. As an OpenJDK vendor known for providing tested (and commercially supported) Java distributions, Bellsoft is now offering a new hardened builder image for Paketo Buildpacks ...
Your Model Works in the Notebook and Breaks in the Cluster
A model working in a notebook gives you a particular kind of confidence. The metrics look good, the code runs top to bottom, the researcher demos it, leadership nods, and everyone agrees ...

