How Cloud Native Infrastructure Powers Production AI Engineering
Production AI workloads increasingly rely on Kubernetes and cloud-native technologies for orchestration, GPU scheduling, and scalable infrastructure management.
Production AI workloads increasingly rely on Kubernetes and cloud-native technologies for orchestration, GPU scheduling, and scalable infrastructure management.
Learn how to configure and use Model Context Protocol (MCP) servers to extend OpenClaw's capabilities with external tools and APIs.
From Open Source contributions to Azure Service updates, Microsoft made significant waves at KubeCon + CloudNativeCon Europe 2026 in Amsterdam.
Learn how to migrate from Ingress-NGINX to Gateway API using the stable 1.0 release of Ingress2Gateway, featuring support for over 30 annotations and comprehensive integration testing.
Microsoft's new Argo CD extension for AKS and Azure Arc-enabled clusters brings enterprise identity management, Azure Linux hardening, and zero-trust authentication to GitOps workflows.
Microsoft and Isovalent bring transparent workload-level mutual TLS to AKS without sidecars, application changes, or service mesh complexity.
Red Hat has released OpenShift Service Mesh 3.3, bringing post-quantum cryptography (PQC), AI enablement features, and foundational support for external VM integration. Based on Istio 1.28…
The Cloud Native Computing Foundation has unveiled the CARE Program (Certification Advancement & Recertification Experience), a significant restructuring of its certification renewal policy that addresses long-standing…
Grafana has released the OpenLIT Operator, a Kubernetes-native solution for monitoring AI workloads without requiring code changes. The integration with Grafana Clouds AI Observability suite promises…
The vLLM project has released version 0.18.0, a substantial update featuring 445 commits from 213 contributors including 61 new contributors. This release significantly expands deployment flexibility…
Cloudflare is officially entering the frontier model race with a significant announcement that expands its AI platform beyond small, efficient models into the territory of large-scale…
Grafana Cloud AI Observability and the OpenLIT Operator point to a practical operational pattern for LLM workloads on Kubernetes: instrument by policy, collect with OpenTelemetry, and make cost, latency, and quality visible without asking every application team to wire tracing by hand.
Kyverno’s policy-as-code approach keeps gaining traction because it meets Kubernetes teams where they already work: YAML, CRDs, admission control, and cluster-native workflows. The real value is not novelty but operational fit.
Crossplane 2.0 matters for AI infrastructure because it gives platform teams a declarative way to expose governed, reusable services to agents and developers through one control plane instead of a maze of tickets, scripts, and cloud consoles.
Platform Engineering Day’s growing emphasis on AI, security, and internal platform maturity is a useful signal: cloud-native teams are moving past raw infrastructure enthusiasm and toward the harder work of building governed, product-like platforms for developers and automation.
Morgan Stanley’s multi-year Flux journey shows that GitOps at enterprise scale is not just about choosing a reconciler. It is about onboarding, tenancy boundaries, source-of-truth design, and relentless tuning once the cluster count and resource count get large.
Cloudflare enters the large model inference game with Kimi K2.5 on Workers AI, offering frontier-level reasoning at a fraction of proprietary model costs.
ARC 0.14.0 introduces multilabel support for runner scale sets, a new scaleset library client, and experimental Helm charts.
Ollama now ships with web search/fetch plugins for OpenClaw and introduces headless mode for CI/CD and automation workflows.
OpenTelemetry is deprecating the Span Events API to eliminate confusion and unify event handling through log-based events correlated with spans.