KubeCon 2025
Google Extends Kubernetes Service to Safely Run Agentic AI Workloads
At KubeCon + CloudNativeCon North America 2025, Google unveiled major GKE upgrades — including an AI sandbox, inference gateway, pod snapshots, and 130,000-node clusters — to optimize and secure agentic AI workloads ...
CNCF Launches Initiative to Update Helm Package Manager
The Cloud Native Computing Foundation unveils Helm 4.0 at KubeCon + CloudNativeCon 2025, introducing WebAssembly-based extensibility, improved APIs, Go-based logging, and server-side apply for Kubernetes environments ...
Mike Vizard | | Cloud Native Computing Foundation, CloudNativeCon, cncf, container orchestration, DevOps tools, Go language support, Helm API modernization, Helm logs, Helm plugins cross-platform, HelmDev meeting, KubeCon 2025, kubernetes, Kubernetes deployments, Kubernetes management tools, Kubernetes operators, Kubernetes packaging, open source Helm, package manager, server-side apply, SUSE, Wasm, WebAssembly
CNCF Adds Program to Standardize AI Workloads on Kubernetes Clusters
CNCF introduces the Certified Kubernetes AI Conformance Program to standardize AI and ML workload deployment, ensuring interoperability and sovereign cloud compliance ...
Mike Vizard | | AI deployment, AI infrastructure, AI on Kubernetes, AI portability, AI scalability, AI Workloads, Certified Kubernetes AI Conformance Program, cloud native AI, cloud-native ecosystem, CloudNativeCon, cncf, data science, hybrid cloud, IT operations, KubeCon 2025, kubernetes, Kubernetes certification, Kubernetes conformance, Kubernetes interoperability, Kubernetes standards, ML deployment, ML frameworks, ML workloads, sovereign cloud
Machine Learning in Kubernetes: Why Trust, Not Tech, is Your Biggest Hurdle
Explore why trust—not technology—is the real barrier to ML-driven Kubernetes optimization and how intelligent automation builds confidence at scale ...
Yasmin Rajabi | | AI in DevOps, AI in infrastructure management, AI-driven automation, automated cloud governance, cloud cost optimization, cloud efficiency, container optimization, continuous optimization, developer trust, devops, FinOps, intelligent automation, KubeCon 2025, Kubernetes optimization, Kubernetes performance, Kubernetes resource management, Kubernetes trust gap, machine learning in Kubernetes, ML in cloud infrastructure, ML-based cost control, ML-powered rightsizing, platform engineering, platform reliability, predictive scaling
Why Agentic SREs Require Active Telemetry in Kubernetes
Discover how Active Telemetry enables Agentic SREs to move from reactive firefighting to autonomous diagnosis and proactive reliability in Kubernetes ...
Tucker Callaway | | Active Telemetry, Active Telemetry pipeline, Agentic SRE, AI infrastructure, AI observability, AI-driven SRE, autonomous diagnosis, autonomous operations, cloud native operations, context engineering, data context, intelligent observability, KubeCon 2025, Kubernetes reliability, MTTR reduction, operational autonomy, proactive remediation, root cause analysis, site reliability engineering, telemetry architecture
How Distroless Containers Defend Against npm Malware Attacks
The npm breach shows why distroless containers matter. Learn how minimal, continuously rebuilt images strengthen cloud-native supply-chain security ...
Dhanush V M | | CleanStart, cloud native security, container hardening, container security, DevSecOps, distroless best practices, distroless containers, KubeCon 2025, Kubernetes security, malware prevention, minimal container images, npm attack, open source security, phishing attack, SBOM, secure build pipelines, secure software delivery, SLSA compliance, software supply chain security, vulnerability remediation
Why Traditional Kubernetes Security Falls Short for AI Workloads
AI workloads on Kubernetes bring new security risks. Learn five principles—zero trust, observability, and policy-as-code—to protect distributed AI pipelines ...
Ratan Tipirneni | | AI infrastructure, AI security, AI Workloads, cloud native AI, cloud native security, container security, data protection, DevSecOps, edge AI, GPU workloads, KubeCon 2025, kubernetes, Kubernetes observability, Kubernetes security, microsegmentation, multi-cluster security, policy as code, runtime protection, Spectro Cloud report, zero-trust
When “Healthy” Isn’t Healthy: Rethinking Kubernetes Health Checks for Real-World Systems
Kubernetes health checks often miss real issues. Learn how to design smarter, context-aware probes that reflect true application health and prevent downtime ...
Nick Taylor | | application state, cloud-native reliability, cluster health, context-aware health, devops best practices, distributed systems, KubeCon 2025, kubernetes, Kubernetes health checks, Kubernetes monitoring, Kubernetes troubleshooting, liveness probes, readiness probes, self-healing systems, startup probes
Ten Common Kubernetes Misconfigurations That Cause Outages (And What You Can Do About It)
Learn the most common Kubernetes misconfigurations—like missing limits, probes, and AZ redundancy—and how to prevent outages in cloud-native systems ...
Andre Newman | | Availability Zones, cloud-native infrastructure, cluster management, container orchestration, CPU and memory limits, CrashLoopBackOff, devops best practices, ImagePullBackOff, KubeCon 2025, kubernetes, Kubernetes misconfigurations, Kubernetes outages, Kubernetes reliability, Kubernetes troubleshooting, liveness probes
The Symbiotic Relationship of Cloud Foundry and the Cloud Native Ecosystem
Cloud Foundry evolves by integrating CNCF projects like Crossplane, OpenCost, and Headlamp to boost flexibility, cost transparency, and developer productivity ...

