Docker, Inc

New episode of Ship Happens is out. Per Ploug Krogslund sits down with Pipedrive's Director of Engineering Infrastructure, Kristjan Elias, to talk about what infrastructure teams are navigating right now: balancing cost, reliability, and security, deciding when AI belongs in production, and where local models make sense vs external providers. They also get into the bigger shift underneath all of this - how platform teams build trust, manage change, and support the business without over-engineering for perfection. Catch the full conversation → https://lnkd.in/gcsY8Bdm

If the upside of AI agents is so obvious, why aren’t more teams scaling them internally? That’s the question at the center of this conversation between Warp CEO Zach Lloyd and Docker President and COO Mark Cavage. They get into the real friction - security concerns, governance gaps, and the infrastructure problem most teams run into once agents move beyond local workflows. A grounded look at what it takes to go from experimentation to production. Watch → https://lnkd.in/g2Y7qrPV

Sandboxes just got a major upgrade. Now fully standalone. You don’t need Docker Desktop. Just install and go. And cold starts are dramatically faster, especially for Windows. Sandboxes work with the agents you're already using: Claude Code, Codex, Copilot, Gemini CLI, and Kiro. Claws like NanoClaw can now run natively inside the sandbox too. For anyone new to Sandboxes: agents run with full autonomy inside an isolated microVM. Install packages, run Docker, take action, all without touching your host. If something goes wrong, delete the sandbox. Seconds to recover. Nothing to clean up. Get started:

Operationalizing MCP requires a simple way for developers to build, run, and share MCP servers, along with the security, flexibility, and governance enterprises need to scale in production. We have sessions at the Agentic AI Foundation's #MCPDevSummit that will go deep on how to make that work in practice: - Dynamic MCPs: Agentic Discovery, Configuration, and Management of MCP Workloads April 2 | 12:10–12:35pm EDT - Keynote: Building a Unified Control Plane for MCP Across Servers, Clients, and Teams April 3 | 9:50–10:00am EDT - Distributing MCP Servers With OCI To Power Agent Skills April 3 | 12:00–12:25pm EDT If you’re focused on faster development loops, cleaner integrations, and more control over your AI stack, these sessions are worth attending. Register now: https://bit.ly/4lQDOae

What does it actually take to build secure autonomous AI agents? We’re hosting a hands-on workshop at the Agentic AI Conference, and in this session, you’ll learn how to: • Build secure sandboxes for AI agents • Isolate workloads and protect sensitive data • Apply real patterns for agent + tool interactions • Avoid unexpected behavior once agents hit production If you’re experimenting with agent workflows, this is a practical look at how to move from demos to something you can actually run safely. 🎟️ Free for our community with code: DOCKER100 📅 April 9 | 9–11AM PT | Virtual Register now: https://hubs.la/Q048970j0

Docker + NanoClaw just showed up in Forbes' CIO newsletter. The conversation is shifting - not just what agents can do, but how to run them safely once they’re doing real work. Isolation isn’t just a feature anymore. It’s becoming the starting point. Read more → https://bit.ly/4v2blT8

Skills unlock a new class of repeatable workflows. In this issue of the Docker AI Labs newsletter, we show how to use Docker Agent, Docker Model Runner, and skills to pull recent articles, analyze trends, and generate a reusable IT news brief - all running locally. The result is a practical, cost-efficient way to automate research while keeping full control of your workflow - and a pattern you can reuse. Learn more:

Most developers use Docker. Few actually understand how it works under the hood. Here is the simple flow 👇 > You send commands like docker pull or docker run. > These go to the Docker Daemon via REST API > The daemon does the heavy lifting building, running, managing containers > Images are pulled from (or pushed to) a registry like Docker Hub That is it. Client → Daemon → Registry. #Docker #DevOps #Backend #SoftwareEngineering #FullStack