Agents are the New Microservices: Why the Multi-LLM Era is Here
The future of AI isn't about finding the perfect model—it's about orchestrating the right models for the right tasks.
Supercharge Your Docker Compose Applications with AI Models
Docker Compose now supports AI models as first-class citizens with the new models top-level element. Adding machine learning capabilities to your applications is now as simple as defining a model and binding it to your services.
A Quick Look at Docker MCP Gateway Interceptors
The MCP Gateway is Docker’s answer to the growing complexity and security risks of connecting AI agents to MCP servers. By aggregating multiple MCP servers behind a single, secure interface, it gives developers and teams a consistent way to build, scale, and govern agent-based workloads.
Docker Hardened Images for Python: How I Eliminated 152 Vulnerabilities in One Simple Switch
Docker Scout reveals the shocking truth: the standard python:3.13 image harbors 152 vulnerabilities across 40 packages. Meanwhile, Docker Hardened Images shows zero detected vulnerabilities. It's the same Python functionality with enterprise-grade security built in
Agentic AI
Docker cagent: A Command Line Tool For Running AI Agents
Discover how Docker's revolutionary cagent framework is transforming AI agent development with simple YAML configurations, multi-agent orchestration, and seamless tool integration.
Docker Hardened Images: The Complete Guide to Secure, Minimal Container Images for Production
Learn everything about Docker Hardened Images (DHIs) - secure, minimal, production-ready container images that reduce vulnerabilities by 95%, ensure compliance, and integrate seamlessly into existing workflows.
The Day I Told 800+ Engineers Their AI Dreams Could Become Security Nightmares
Model Context Protocol promises seamless AI-tool integration, but real-world vulnerabilities with CVSS scores above 9.0 are compromising everything from GitHub repositories to production databases. Here's how we fix it before it's too late.
MCP vs RAG: Two Different Ways to Make AI Smarter
Confused about MCP vs RAG? You're not alone. These two AI technologies are transforming how we make language models smarter, but they work in completely different ways.
Kubernetes Annoyances for DevOps: A Deep Dive into Real-World Pain Points
If you’ve ever spent hours debugging a misconfigured probe or chasing down a rogue config drift, you’re not alone. This post is a no-fluff breakdown of the top Kubernetes headaches every DevOps engineer encounters, paired with proven fixes, pro tips, and real-world examples to save your sanity.
Top 5 Docker Desktop Features That You Must Try in 2025
Docker Desktop has evolved far beyond containerization. These 5 features are reshaping development workflows: Model Runner (local AI), MCP Toolkit (secure agents), Docker Offload (cloud GPUs), Debug (enhanced troubleshooting), and Agentic Compose (AI infrastructure).
How to Run OpenAI's New GPT-OSS Models using Docker Offload
Ready to revolutionize your AI workflow? Start your GPT-OSS journey today and join the open AI revolution.
Build, Deploy, and Scale AI Agent systems using Docker MCP Gateway and Python
A comprehensive guide to deploying scalable, secure AI agent orchestration using Docker MCP Gateway and Python FastAPI