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Docker

Vercel Now Lets You Deploy Any Dockerfile Straight to Production

Vercel Now Lets You Deploy Any Dockerfile Straight to Production

Vercel now runs any Dockerfile as a serverless function with autoscaling — but function limits and no durable storage still apply ...
Tom Smith | July 6, 2026 | Dockerfile, frontend deployments, migration, storage, vercel
CNCF, cloud native, NVIDIA, AI, Peritus microservices

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 | May 13, 2026 | 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
state, stateless, kubernetes, scanning, cloudsmith, stateless ephemeral stateful security Kubernetes unikernel Sumo Logic

Java Code Isn’t the Problem – The Container Is 

Learn how integrating Docker Scout into Java CI pipelines shifts container security left, replacing manual reviews with automated gates to secure base images and dependencies ...
Swapneswar Sundar Ray | May 11, 2026 | base image vulnerabilities, CI/CD pipeline, container security, DevSecOps, Docker Scout, GitHub Actions, Java security, jenkins, Maven dependencies, shift left security
Kubernetes, observability, tracing, kubernetes observability, Grafana labs, kubernetes, observe, tool, Datadog, data, observability, kubernetes Docker Granulate observability

Configuring NVIDIA NeMo Agent Toolkit With Docker Model Runner 

Enhancing AI Agent reliability through advanced observability using NVIDIA NeMo and Docker Model Runner (DMR) ...
Siri Varma Vegiraju | April 24, 2026 | Agent Observability, Agentic Systems, AI agents, Docker Model Runner (DMR), Docker Models Hub, LLM Tracing, Local Inference, NVIDIA NeMo, OpenTelemetry (OTel), ReAct Agent, smollm2, telemetry
Dockerfile Practices are a DevOps Tax Before They are a Security Concern 

Dockerfile Practices are a DevOps Tax Before They are a Security Concern 

Learn how poor Dockerfile discipline creates silent technical debt and how tools like DockSec use AI and static analysis to optimize build times, reduce image sizes, and standardize DevOps workflows ...
Saqib Jan | April 22, 2026 | build reproducibility, CI/CD efficiency, container security, devops best practices, Docker optimization, DockSec, Hadolint, layer caching, multi-stage builds, technical debt
Docker Inc. Allies with NanoCo to Deploy General-Purpose AI Agent Safely

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 ...
Mike Vizard | April 1, 2026 | agentic AI, cybersecurity, docker, NanoClaw
CNCF, cloud native, NVIDIA, AI, Peritus microservices

Build and Orchestrate Agents Using Docker cagent 

Docker's cagent is a new open-source framework that simplifies the deployment of AI agents, allowing users to create everything from basic Hello World agents to complex multi-agent workflows using a declarative YAML ...
Siri Varma Vegiraju | February 10, 2026 | agent capabilities, AI agents, AI applications, automated workflows, composable workflows, deployment, Docker cagent, GraphQL, lightweight agents, Model Context Protocol (MCP), multi-agent processing, open-source framework, rapid development, technical integration, vendor-agnostic stack, YAML configuration
Akuity, SUSE, Nutanix, kubernetes, cycle, Mirantis, kubernetes, LoftLabs, vNode, Komodor, configurations, application, clusters, virtual, Red Hat, Kubernetes clusters, Komodor, kubernetes, clusters, kubernetes, IDPs, TLS, certificates, clusters, virtual clusters, Kubernetes, Kubernetes, vCluster CAST AI KBOM DoKC Platform9 Kubernetes

Kubernetes in Docker (KinD): Setting Up a k8s Cluster in Under a Minute

Discover the evolution of Kubernetes management with KinD, allowing for quick, local multi-node cluster creation, enhancing visibility, and bridging gaps left by managed services for Kubernetes deployment and testing ...
Ajinkya Kadam | February 9, 2026 | CI/CD integration, cloud native, cluster management, KinD, kubernetes, Kubernetes in Docker, local clusters, multi-node clusters, SRE, testing
ingress Sysdig SUSE Siloscape security-as-code Docker

Noma Security Identifies Security Flaw in Docker AI Assistant

Noma Security today revealed it has discovered a critical security flaw in the artificial intelligence (AI) assistant made available by Docker, Inc. Sasi Levi, security research lead for Noma Security, said the ...
Mike Vizard | February 3, 2026 | AI, docker, Noma Security, security
CNCF, cloud native, NVIDIA, AI, Peritus microservices

Building AI Agents Using Open-Source Docker cagent and GitHub Models 

Discover how Docker’s open-source cagent framework and GitHub Models simplify AI agent orchestration. Learn to build, package, and share a vendor-neutral podcast-generation AI system with production-grade quality and cost efficiency ...
Naga Santhosh Reddy Vootukuri | January 6, 2026 | AI agent orchestration, AI agent runtime, AI development workflows, AI vendor lock-in, cagent framework, containerized AI agents, Docker AI framework, Docker cagent, Docker Hub AI agents, GitHub Models, MCP tools, Model Context Protocol, multi-agent AI systems, OpenAI compatible API, podcast generation AI, production AI agents, vendor-neutral AI, YAML-based AI configuration
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Modernizing Manufacturing: How to Move from Legacy Infrastructure to Cloud-Ready Operations
18 August 2026
Modernizing Manufacturing: How to Move from Legacy Infrastructure to Cloud-Ready Operations
Migrating Apache Solr Workloads to Amazon OpenSearch Service
28 July 2026
Migrating Apache Solr Workloads to Amazon OpenSearch Service
From Pilot to Production: AI that Delivers Business Outcomes
27 July 2026
Disaster Recovery in Uncertain Times
2 September 2026
Disaster Recovery in Uncertain Times
From Reactive Alerts to Predictive Event Intelligence
19 August 2026
From Reactive Alerts to Predictive Event Intelligence
ADR vs. EDR: Why EDR Isn’t Enough in the AI Era
19 August 2026
ADR vs. EDR: Why EDR Isn’t Enough in the AI Era

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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

Deloitte Partners with Memcyco to Combat ATO and Other Online Attacks with Real-Time Digital Impersonation Protection Solutions

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MOST READ

Linkerd 2.20, the Latest Release of the Cloud-Native Service Mesh, Arrives

June 24, 2026

Minimus Makes Hardened Container Images Freely Available to All Developers

June 23, 2026

The AI Native Stack Already Exists. We’ve Been Calling It Cloud Native

June 30, 2026

Apple Ships Stable 1.0 of its Native Container Tool for macOS

July 6, 2026

Upbound Unfurls Control Plane for Managing AI Inference Workloads

June 23, 2026

RECENT POSTS

Your Model Works in the Notebook and Breaks in the Cluster
Container Networking Container/Kubernetes Management Contributed Content Social - Facebook Social - LinkedIn Social - X 

Your Model Works in the Notebook and Breaks in the Cluster

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Inside the Packet: How Kubernetes Networking Actually Works at L3/L4
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Inside the Packet: How Kubernetes Networking Actually Works at L3/L4

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Most Container Images You Pull Today Are Already Full of Vulnerabilities
Video Interviews 

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Building a Secure Software Development Lifecycle (SSDLC) for Cloud-Native Teams
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Building a Secure Software Development Lifecycle (SSDLC) for Cloud-Native Teams

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