AI agents
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
DataAgent Emerges From Stealth To Bring Autonomous Remediation to Kubernetes
DataAgent emerged from stealth today with $10 million in pre-seed funding and an agentic AI platform designed to fix production problems inside Kubernetes environments without waiting for a site reliability engineer to ...
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
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
Self-Healing Kubernetes Gets Real—and Risky: Running AI Agents on Amazon EKS
For years, “self-healing Kubernetes” meant a liveness probe restarting a crashed pod. In 2026 it means something far more literal: an autonomous agent that reads your cluster’s logs and metrics, forms a ...
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 ...
The Questions Every Team Asks About Docker Sandboxes
Docker Sandboxes launched in March 2026. Since then, I’ve heard the same questions at meetups, on Slack, and during Docker Captain briefings. Instead of writing another overview piece, I want to answer ...
Deploying Docker AI Agents on OCI and OKE
This guide details the architectural transition of AI agents from experimental scripts to "first-class production workloads" using Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). It emphasizes a zero-trust, scalable approach ...
Pavan Madduri | | Agentic Architecture, AI, AI agents, containerization, Data Minimization, docker, Event-Driven Autoscaling, GitOps, infrastructure as code, kagent, KEDA, Kubernetes CRD, Kyverno, LLM Inference, MCP server, Model Context Protocol, oci, OCI Generative AI, OCI Vault, OCIR, OKE, OpenTelemetry, Oracle Kubernetes Engine, Production Workloads., Terraform, Virtual Nodes, Zero-Trust Security
Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner
Enhancing AI Agent reliability through advanced observability using NVIDIA NeMo and Docker Model Runner (DMR) ...
Kubernetes Builds a Sandbox CRD for AI Agents
The Kubernetes community has launched a new project to make a home for AI agents. The Agent Sandbox project, under development by SIG Apps, is a lightweight, single-container VM environment built on ...

