🔍 Inside this Issue
Cloud‑native is getting opinionated, security is non‑negotiable, AI is standardizing, and Kubernetes hums in the background while platforms take the wheel. Start where it hurts, zero‑access control planes, portable inference, real backups, hardening, and a CKA cram, then keep going for the edges.
📈 2025's Cloud Native Reality Check: Who's In, Who's Lagging
🔒 Amazon Elastic Kubernetes Service gets independent affirmation of its zero operator access design
💾 AWS Backup now supports Amazon EKS
🤖 CNCF Launches Certified Kubernetes AI Conformance Program at KubeCon
🚀 KServe becomes a CNCF incubating project
🛡️ Microsoft Defender Now Blocks Pod Privilege Escalation
🎓 Prepare for the Kubernetes Administrator Certification and Pass
🧠 Streamline Complex AI Inference on Kubernetes with NVIDIA Grove
🖥️ Using Komodo to Run Docker Commands from a Web Interface
You’ve got the signal—now turn it into shipping speed.
Have a great week!
FAUN.dev() Team
ℹ️ News, Updates & Announcements

faun.dev
Microsoft Defender for Cloud just dropped a preview of Restrict Pod Access, a new move to box in lateral movement and privilege creeps inside Kubernetes. Containers get chattier, it gets nosier.
Container image re-scans now hit every 30 days, but only for images currently in use. Less drift, more signal.
Support for scanning images from JFrog Artifactory and Docker Hub is out of preview and into GA.

faun.dev
56% of backend devs now count as cloud native. That rise tracks with heavy use of API gateways (50%) and microservices (46%). Only 30% touch Kubernetes directly, but hybrid (30%) and multi-cloud (23%) setups are gaining ground. The shift? Tighter security and chunkier, modular infra.
System shift: Cloud native isn’t all about Kubernetes anymore. It's leaning into internal platforms and MLaaS layers that spare developers from wrestling with bare-metal config.

developer.nvidia.com
NVIDIA released Grove, a Kubernetes API baked into Dynamo, to wrangle the chaos of modern AI inference. It pulls apart your big, messy model into clean, discrete chunks - prefill, decode, routing - and runs them like a single, orchestrated act.
The trick? Custom hierarchical resources. They let Grove handle startup order, gang scheduling, topology-aware placement, and multilevel autoscaling without breaking a sweat.
Why this matters: Grove turns AI inference into something Kubernetes can actually understand, declarative and dependency-aware. This is scheduling for large, multi-role models that live in the real world.

cncf.io
KServe is upgrading. The CNCF pulled it into incubation, backing it as the Kubernetes-native way to serve both generative and predictive AI. Translation: it’s not a side project anymore - it’s core infra.
Version 0.15 steps up with tighter integrations across the stack: vLLM, Envoy Gateway, llm-d, Knative, and Istio. The goal? Fully abstracted, scalable LLM inference. No hand-wiring. No mess.
Big picture: KServe’s new badge signals a shift toward standardized, production-ready orchestration in Kubernetes-first AI pipelines.

aws.amazon.com
Amazon EKS just went full Fort Knox. It now runs on a zero operator access model - meaning even AWS can’t peek inside your Kubernetes control or data plane.
The setup leans on the Nitro System’s confidential compute, guarded APIs, and multi-party approval pipelines. NCC Group also kicked the tires and gave it the all-clear: no hidden backdoors for AWS staff.

faun.dev
CNCF just kicked off the Certified Kubernetes AI Conformance Program (beta). Think of it as a litmus test for running AI workloads on Kubernetes without duct tape and hope.
The spec lays down a reference architecture, GPU and networking test criteria, and an annual renewal loop. Full automation is on deck by v2.0 in 2026.
Big picture: Kubernetes is moving from "it runs AI if you squint hard enough" to a legit standard for portable, production-grade AI/ML workloads. Less chaos. More click-and-go.

aws.amazon.com
AWS Backup just added support for Amazon EKS. Now you can back up cluster state and persistent volumes, no agents, no third-party hacks.
It handles scheduling, retention, and immutability out of the box. Restore full clusters or drill down to specific components, even across Regions and accounts.
🔗 Stories, Tutorials & Articles

freecodecamp.org
A tight 2-hour YouTube course built for the CKA exam grind. It's all real-world tasks: cluster setup, upgrades, troubleshooting. No fluff, just shell commands and Kubernetes in action.
It walks through the gritty bits: etcd backup and restore, node affinity, tolerations, and how to set up Ingress like someone’s job depends on it.

noted.lol
Komodo drops a slick browser-based UI for wrangling Docker - containers, images, networks, and Compose stacks - through a real-time visual dashboard. Think native Docker meets one-click redeploys, host curation via agents, and reusable container configs that don’t make you hate YAML.

itnext.io
See why GitOps often feels like a sprawl of configs, discover how to manage Configuration as Data for your Kubernetes platform, and learn how ConfigHub can help.
⚙️ Tools, Apps & Software

github.com
The Cloud-Native API Gateway and AI Gateway

github.com
Monitor and restart unhealthy, killed, or stopped Docker containers according to a user-defined restart policy, including any dependent containers.

github.com
MCP server connecting to Kubernetes

github.com
Your own self-hosted infra for lightweight VM sandboxes to safely execute untrusted code. CLI, API, Python SDK.