Docker, Inc

Docker Captain Sagar Utekar brings his field experience to a hands-on discussion with Hrittik Roy, showing what Docker Hardened Images actually look like in prod - including a live demo. If you’re thinking about security in real-world builds, his perspective as a Captain is well worth a watch. https://lnkd.in/giG28dZ4

Open source is foundational to modern development - and it should be secure by default. MongoDB CTO Jim Scharf explains why free Docker Hardened Images support open, trusted foundations teams can build on with confidence:

Ship Happens - a new podcast from Docker! Shipping software at scale is messy. From production scars to security theater, AI hype vs. reality, this podcast dives into the hot takes and hard-won lessons that engineers usually only learn when it’s too late. First episode dropping next Tuesday, hosted by Per Ploug Krogslund, with guest Vasek Mlejnsky, founder of E2B. 🎙️ Subscribe now to stay in the loop: https://lnkd.in/gumSqVVR

AI coding assistants don’t actually have to ship your code to the cloud. This guide walks through how to pair OpenCode with Docker Model Runner to run models locally, keep your code private, and avoid per-token costs. Dive into the setup, model tips, and best practices using gpt-oss as an example. If you want AI-assisted coding without sending your repo to a third party, this is worth a read:

After the initial round of announcements around Docker Hardened Images now being free, we’re excited to see the conversation evolve with more deeper dives and analysis. This post from CSharpCorner walks through what makes DHI different, how it compares to other images, and what secure-by-default really looks like in practice: https://bit.ly/3ZkuBMM

Did you catch the latest AI Guide to the Galaxy? Oleg Šelajev sat down with Docker’s Kevin Wittek to unpack a problem every AI dev will hit eventually: How do you keep AI agents from wrecking your dev environment? The answer: sandboxing. From microVMs to secret injection to “YOLO mode” (yes, seriously), this convo is a deep dive into building safer, smarter autonomous agents and why Docker’s approach might just be the blueprint for agentic development. If you missed it, now’s the time to catch up: https://lnkd.in/eNUHTa6Y

The best part of launching Docker Hardened Images for free? Watching the community run with it. From hot takes to deep dives and new project ideas, the response has been 🔥 We pulled together and wanted to share a few of our favorite initial dev reactions. We love our community, and we love hearing your thoughts! (And if you share your take on any of our DHI posts, maybe we’ll feature yours next!)

Open source adoption is continuing to rise (which we love to see!), but CVE volume is rising even faster. Most teams are stuck chasing alerts instead of reducing the risk at the source, especially as AI/agents pull in dependencies autonomously. In this new on-demand webinar, we break down the real supply chain risks (CVE growth, dependency sprawl, malware/typosquatting), and how to verify attestations, and keep images patched - without rebuilding your entire pipeline, using Docker Hardened Images (DHI). Watch now: https://bit.ly/3NxBwj0

You don’t need a giant model to get real coding help, small LLMs can rise to the challenge. This post shows how to use RAG to feed just the right code snippets to very small models, turning them into genuinely helpful coding assistants - running fully locally with Docker Model Runner, LangChain, and Nova. Read more ⬇️