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On November 12-14, the Docker team was out in numbers at JFrog SwampUP Berlin 2025. We joined technical sessions, put on a fireside chat, and had conversations with attendees there. We’d like to thank the folks at JFrog for having us there and putting on such a great show! Here's our takeaways from the event about …
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On November 19, 2025, the Golang project published two Common Vulnerabilities and Exposures (CVEs) affecting the widely-used golang.org/x/crypto/ssh package. While neither vulnerability received a critical CVSS score, both presented real risks to applications using SSH functionality in Go-based containers. …
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When I started incorporating AI tools into my workflow, I was first frustrated. I didn't get the 5x or 10x gains others raved about on social. In fact, it slowed me down. But I persisted. Partly because I see it as my professional duty as a software engineer to be as productive as possible, partly... Link to article: …
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Expanding Docker Model Runner’s Capabilities Today, we’re excited to announce that Docker Model Runner now integrates the vLLM inference engine and safetensors models, unlocking high-throughput AI inference with the same Docker tooling you already use. When we first introduced Docker Model Runner, our goal was to make …
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Mark Lechner, Docker’s CISO, shares his vision for a future where Docker not only powers the software supply chain, but actively safeguards it. Cybersecurity has reached a turning point. The most significant threats no longer exploit isolated systems; they move through the connections between them. The modern attack …
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The era of AI agents has arrived, and with it, a new standard for how they connect to tools: the Model Context Protocol (MCP). MCP unlocks powerful, flexible workflows by letting agents tap into external tools and systems. But with thousands of MCP servers (including remote ones) now available, it’s easy to ask: Where …
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Building and Running Custom Models Is Still Hard Running AI models locally is still hard. Even as open-source LLMs grow more capable, actually getting them to run on your machine, with the right dependencies, remains slow, fragile, and inconsistent. There’s two sides to this challenge: Model creation and optimization: …
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Running a Chat UI Agent doesn’t have to involve a complicated setup. By combining Docker with the Vercel AI SDK, it’s possible to build and launch a conversational interface in a clean, reproducible way. Docker ensures that the environment is consistent across machines, while the Vercel AI SDK provides the tools for …
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