Docker, Inc

If you’re in London for LeadDev or AI DevCon, come by on June 2 before the week kicks off. Most AI talks stop at "here's what we built." This one starts at "here's what can go wrong - and how we ship it safely anyway." Docker and Black Duck are bringing together engineers and security practitioners to dig into exactly this. Space is limited and filling up fast - get your (free) tickets here → https://luma.com/o9i3yqns

Containers can feel simple on the surface, but there’s a lot happening under the hood. Techquickie teamed up with Docker Captain Bret Fisher for a fun breakdown of containers, Docker Hub, and the Linux fundamentals behind modern app development. Bret brings great practical insights throughout the video, especially around the lower-level mechanics that make containers portable, lightweight, and such an important part of developer workflows today. Great watch for developers, homelabbers, and anyone curious about containerization. https://lnkd.in/eSjy-7bS

AI agents get a lot more useful once they can actually run things. They also get a lot more dangerous. Bijan Bowen walks through Docker Sandboxes on macOS, covering isolated execution, network controls, local AI integration, and how to create environments where agents can operate without risking the host system. Watch → https://lnkd.in/ghPkppTm

London, we’re ready! Docker is heading to LeadDev London (LDX3) on June 2-3, where 3000 engineering leaders, platform teams, and CTOs come together to shape the future of software delivery. Visit Booth #314 to see how Docker is evolving beyond containers into the infrastructure layer for AI-native development: • MCP tooling for connected agent workflows • Isolated sandboxes for coding agents • Local-first LLM inference • Governance and control for AI systems at scale If you're leading engineering teams through the next era of AI-native development, let’s talk. 📍 Booth #314 Join us: https://bit.ly/49mK84m

AI is putting infrastructure back at the center. Redpoint's 2026 InfraRed 100 report highlights the companies helping define the next phase of cloud and AI infrastructure, and we’re proud to see Docker included. As agents become part of how software gets built and shipped, the need for trusted, secure, developer-first infrastructure only gets more important. Thanks to Redpoint for including Docker in this year’s cohort!

Over 3000 AI Engineers joined Docker EVP of Engineering Tushar Jain at DeepLearning.AI's AI Dev San Francisco for a packed session on what it actually takes to ship AI agents safely in production. The conversation focused on the problems teams are already running into as agents move from experiments to systems that execute code and interact directly with infrastructure. Tushar goes deep on runtime isolation, governance boundaries, and the emerging execution patterns teams are using to safely let agents operate with real autonomy. Watch the full talk → https://bit.ly/4wZ8ifp

AI is not responsible or irresponsible. It is the way we package it. In this episode of 'Ship Happens', host Per Ploug Krogslund talks with Ruben Verborgh, Professor at Ghent University, for a very different kind of AI conversation. Ruben talks about why the current AI data economy is unsustainable, and what an “insights economy” could look like instead. He delves into why agents should work in our interest, not sit between us and the systems we depend on. If you’re trying to think beyond today’s AI hype cycle and understand the infrastructure, incentive, and data problems underneath it, this is that episode. Watch → https://lnkd.in/d6Bq-32F

You’ve probably already hit some version of this: A hardened image breaks your build. An agent needs more access than you’re comfortable giving it. A local AI setup works until you try to move it toward production. A trusted package suddenly becomes part of a supply chain incident. These are not separate problems. They are part of the same shift happening across AI workflows, infrastructure, and software supply chains. The latest Docker Navigator issue connects the patterns teams are working through now, from sandbox isolation and local model workflows to hardened images and supply chain attacks. Read in full → https://bit.ly/4tSi3cm

If you’re running agents today, you probably already feel this tension: You want to give them freedom to operate, but you don’t want them accessing everything. Docker AI Governance is a new way to define that boundary. It combines sandbox controls, network policies, and MCP governance into a single system, so agents can execute real workflows while staying inside clearly defined limits. No per-device setup. No fragmented controls. Full visibility. Available now. Read → https://bit.ly/3PGfn3o