agentic AI
Komodor Extends AI SRE Reach for Kubernetes to AI Agents
Komodor this week added the ability to deploy agentic artificial intelligence (AI) workflows using its platform for site reliability engineers (SREs) that manage Kubernetes clusters. Company CTO Itiel Shwartz said the Komodor ...
Write Access Is the Easy Part: The Verification Gap in Agentic Kubernetes Remediation
Giving an AI agent the power to change a cluster is now straightforward. Confirming the change landed, did not produce unintended duplicate effects and achieved the outcome the operator actually wanted is ...
Containers Became the Unit of Speed. AI Agents Are Making VMs the Unit of Trust
The container is not disappearing. But as autonomous agents generate code, install packages and invoke tools, cloud-native infrastructure is placing a VM-grade security boundary around it ...
Alan Shimel | | Agent Sandboxing, agent security, agentic AI, AI agents, AI infrastructure, autonomous agents, cloud native security, container security, containers, Docker Sandboxes, Firecracker, gVisor, Kata Containers, kubernetes, MCP security, MicroVMs, platform engineering, RuntimeClass, secure execution, virtualization, workload isolation, zero-trust
Prompt Injection in Cloud-Native AI Is Now an Access Control Problem
For a long time, prompt injection was treated like other model behavior problems, such as jailbreaks or strange responses. The usual fix was to improve the system prompt, add stronger filters, or ...
Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...
Kishor Patil | | agentic AI, AI agents, AI infrastructure, AI model serving, cloud native AI, devops, Event-Driven Autoscaling, horizontal pod autoscaling, HPA, inference scaling, KEDA, Kubernetes AI workloads, Kubernetes autoscaling, Kubernetes Event-Driven Autoscaling, platform engineering, Pub/Sub, queue depth, RabbitMQ, Redis, scale-to-zero, SQS
Kubeflow’s Graduation Is a Vote for Kubernetes as the AI Control Plane
Kubeflow’s CNCF graduation signals growing confidence in Kubernetes as a common control plane for production AI workloads, from training and pipelines to governance and inference ...
Alan Shimel | | agentic AI, AI infrastructure, AI lifecycle, AI platform, AI Workloads, cloud native AI, cncf, Distributed Training, enterprise AI, GPU scheduling, KServe, Kubeflow, Kubeflow graduation, Kubeflow Pipelines, Kubeflow Trainer, kubernetes, Kubernetes AI, MLOps, OpenTelemetry, platform engineering
The Foundation Was Already Poured
Techstrong's Experts Exchange this October, Cloud Native Now: The AI Stack, and this November's KubeCon in Salt Lake City are both making the same case for cloud native and AI. The argument ...
Alan Shimel | | agent governance, agent identity, agentic AI, AI agents, AI governance, AI infrastructure, AI security, AI stack, AI strategy, AI Workloads, cloud native, cloud native developers, cncf, enterprise AI, GPU scheduling, KubeCon, kubernetes, Kubernetes AI, MLOps, model serving, observability, platform engineering, sigstore, SLSA, software supply chain security
Tigera Introduces Lynx, a Unified Control Plane for Kubernetes‑Native AI Agents
The first Kubernetes AI agent control plane is here. Tigera, best known for backing the open-source Calico networking and security stack for Kubernetes, is pushing beyond traditional container security with the launch ...
Microsoft Introduces Execution Containers to Keep AI Agents in Check
Microsoft Execution Containers (MXC) brings policy-driven, OS-level containment to AI agents on Windows. Here's what enterprises need to know ...
Docker Inc. Allies with NanoCo to Deploy General-Purpose AI Agent Safely
Docker Inc. has formed an alliance that makes it simpler to deploy a lightweight NanoClaw artificial intelligence (AI) agent from NanoCo in Docker Sandboxes that ensure any AI agent is only able ...

