CNCF Tackles Model Weight Distribution for AI at Scale
Cloud-native infrastructure projects Harbor, Dragonfly, and ORAS unite to solve massive AI artifact distribution challenges.
Tag: CNCF
Argo Rollouts Graduates to General Availability After Extended CNCF Journey
Argo Rollouts graduates to General Availability, bringing stable APIs and production-ready progressive delivery capabilities for Kubernetes deployments.
CNCF Introduces ModelPack: A New Open Standard for Managing AI Model Artifacts
The CNCF introduces ModelPack, an open standard for packaging and managing AI model artifacts in container registries, bridging the gap between ML pipelines and Kubernetes operations.
Kubescape 4.0 Brings Enterprise Stability and AI Security Guardrails to Kubernetes
Kubescape 4.0 delivers enterprise-grade runtime threat detection GA, AI-native security features, and posture scanning for agentic workloads.
F5 Elevates to CNCF Gold Membership, Deepening Cloud Native Commitment
F5 upgrades to CNCF Gold Membership, strengthening collaboration on OpenTelemetry, Gateway API, and secure cloud-native networking infrastructure.
Higress Joins CNCF as Sandbox Project, Advancing Enterprise AI Gateway Standards
Higress joins CNCF Sandbox, offering unified Ingress Controller and AI gateway capabilities built on Envoy and Istio for enterprise workloads.
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.
CNCF Introduces CARE Program as Kubestronaut Community Hits 3,500+ Members
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…
Platform Engineering Day at KubeCon Europe 2026 Reflects Where the Cloud-Native Conversation Is Actually Going
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.
Cloud Native: CNCF’s new India schedule shows where platform engineering and AI operations are colliding next
The KubeCon + CloudNativeCon India 2026 schedule is less interesting as an event announcement than as a demand signal. AI + ML, observability, operations, platform engineering, and security are showing up together because teams no longer get to treat them as separate tracks in production.
OpenTelemetry Collector Filtering Gets Easier: OTTL Context Inference Lands in the Filter Processor
Collector-contrib v0.146.0 brings OTTL context inference to the Filter Processor, reducing config footguns and making filtering rules more readable. Here’s what changes for platform teams running OTel at scale.
OpenTelemetry declarative config hits ‘stable’: why this matters for Collector-as-a-product
The OpenTelemetry project says key parts of its declarative configuration spec are now stable, including the data model schema and YAML representation. That’s a quiet milestone with big implications: versionable config, safer rollout patterns, and vendor-neutral ‘observability as code.’
Why AI platforms keep landing on Kubernetes (and what platform teams should standardize next)
CNCF argues the AI stack is converging on Kubernetes—data pipelines, training, inference, and long-running agents. Here’s what’s actually driving the migration, the hidden operational tax it removes, and the platform-level standards teams should lock in before the next wave hits.
OpenTelemetry Collector filtering gets simpler: OTTL context inference lands in the Filter Processor
Collector-contrib v0.146.0 adds context inference to the Filter Processor, letting teams write readable, intent-first OTTL conditions instead of juggling internal contexts. Here’s what changes, how evaluation works, and how to adopt it safely.
Flux 2.8 GA brings Helm v4 support—and makes GitOps recovery faster
Flux 2.8 goes GA with Helm v4 support, server-side apply defaults, kstatus health checks, and new features aimed directly at reducing MTTR in GitOps workflows.
OpenTelemetry eBPF Instrumentation (OBI) alpha: what ‘zero-code’ tracing changes for platform teams
OpenTelemetry’s eBPF Instrumentation project shipped its first alpha release. Here’s what you gain (and what you still don’t) when you shift observability left—down into the kernel.
OpenTelemetry’s eBPF Instrumentation: What the First Release Changes for Cloud Native Observability
OpenTelemetry’s eBPF instrumentation (OBI) is now shipping an initial release, pushing the ecosystem toward low-friction, kernel-level telemetry—especially for large fleets where manual instrumentation doesn’t scale. Here’s what eBPF-based signals are good for, where they’re risky, and how to roll them out safely in production.
Flux 2.8 GA: Helm v4, Faster Recovery, and GitOps Feedback Loops Without Extra CI
Flux 2.8 lands Helm v4 support (SSA + kstatus health checks), reduces MTTR by canceling health checks when new revisions appear, and expands GitOps feedback loops with PR/MR comment providers and a new Flux Operator Web UI.
OpenTelemetry eBPF Instrumentation (OBI) First Release: Why ‘Zero-Code’ Telemetry Is Turning Into a Platform Decision
OpenTelemetry’s eBPF Instrumentation project (OBI) just hit its first release. That’s a milestone for low-overhead, zero-code observability—but it also raises new questions about privilege, fleet rollout, and data governance.
Agentics Day at KubeCon EU 2026: Why MCP Is Becoming ‘Cloud-Native Plumbing’ for AI Agents
CNCF is spotlighting Agentics Day at KubeCon EU 2026 with a focus on MCP and production-grade agents. The real story: interoperability layers are becoming infrastructure. Here’s how to think about MCP as platform plumbing—and how to operate it safely.