cloud native AI
Measuring AI-Driven Automation: The Metrics That Prove Whether Your Platform is Actually Getting SmarterÂ
AI is reshaping cloud-native operations, but old automation metrics mislead. Learn the modern KPIs—MTTR, action quality, autonomy and cognitive load reduction ...
Ankush Dhar | | agentic AI systems, AI action quality, AI automation metrics, AI cloud operations, AI governance metrics, AI incident response, AI-driven reliability engineering, AIOps performance metrics, autonomous remediation, cloud cost optimization AI, cloud native AI, cloud platform automation, cloud-native automation KPIs, cognitive load reduction SRE, explainable AI operations, false action rate, MTTR reduction, operational intelligence, predictive incident prevention, SRE automation
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 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
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
Enabling Efficient AI Workloads in Cloud-Native Development using Docker Offload
Docker Offload brings cloud scalability to local development, enabling AI and ML workloads to run on GPU-powered cloud infrastructure seamlessly ...
Naga Santhosh Reddy Vootukuri | | AI Workloads, cloud compute, cloud infrastructure, cloud native AI, cloud offloading, cloud-native development, container builds, container orchestration, developer productivity, DevOps tools, Docker GPU, Docker Offload, GPU acceleration, hybrid workflows, local development, managed service, ML workloads, secure containers, SSH tunnel, VDI environments, virtualization
Shimmy’s Early Look: Can’t-Miss Sessions at KubeCon + CloudNativeCon North America 2025
CNCF turns 10 as KubeCon + CloudNativeCon North America 2025 heads to Atlanta this November. With 300+ sessions on Kubernetes, AI, platform engineering, security, and observability, the event showcases the next decade ...
Alan Shimel | | AI workloads on Kubernetes, cloud native AI, cloud native events, CloudNativeCon 2025, CNCF community, DevOps conferences 2025, KubeCon 2025, KubeCon keynotes, Kubernetes conference Atlanta, Kubernetes security, multi-cluster orchestration, observability Kubernetes, platform engineering, supply chain security

