Docker, Inc’s cover photo
Docker, Inc

Docker, Inc

Software Development

San Francisco, California 799,360 followers

Docker helps developers bring their ideas to life by conquering the complexity of app development.

About us

At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

Website
http://www.docker.com
Industry
Software Development
Company size
501-1,000 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2013
Specialties
Containerization, Open Source, Containers, Virtualization, System Administration, Scaling, Orchestration, and developers

Products

Locations

  • Primary

    144 Townsend Street

    San Francisco, California 94107, US

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Employees at Docker, Inc

Updates

  • A year of Docker Hardened Images, and we’re thrilled about the scale and adoption! But the real fun story is the road to getting here. Most of the industry optimized for easier paths - proprietary distros, incomplete SBOMs, and clean scans that don’t tell the full story. Docker went the other way, and did the hard things that matter to you: - multi-distro, not lock-in - from-source builds - signed attestations for everything This post breaks down what that actually looks like - and what to look for when evaluating any hardened image provider. Read →

  • Ever tried to build a multi-agent system and ended up having to wire together way too much infrastructure? This tutorial walks through a simpler approach using Docker Agent on a DigitalOcean Droplet - defining a full agent workflow in YAML and actually running it end to end. You’ll go from zero to a working “Bug Investigator” system where agents: • Analyze errors • Research fixes • Write code • Generate tests It also covers running with both cloud APIs and local models, and how to package agents as OCI artifacts for reuse. This is a great walkthrough if you’re experimenting with agent workflows and want something practical you can run and iterate on. Read the tutorial → https://do.co/4u2Nhhz

  • 📣The Call for Speakers is extended for WeAreDevelopers World Congress North America! AI is moving fast, and the best lessons are coming from people shipping it for real. WeAreDevelopers North America is a new builders-first event for the AI era: hands-on, workflow-driven, and focused on what it takes to ship AI systems safely and at scale. With Docker co-hosting, we’re bringing together 10,000+ developers and practitioners from hundreds of leading companies to build, test, and share real patterns across agentic development, platform engineering, security, and cloud-native delivery. If you have a talk, demo, or hard-earned lesson to share, this is your opportunity to take the stage. 📍 San Jose • Sept 23–25 📝 CFP extended through April 30 Submit your talk → https://lnkd.in/dkhECnfc

  • Most sandboxing approaches force a tradeoff. Speed vs isolation. Flexibility vs security. Developer experience vs control. This post breaks down why Docker took a different path with Sandboxes - using microVMs to give agents a real development environment with strong isolation, without adding friction. It walks through: • Why containers and VMs fall short for agent workflows • How microVMs enable full Docker environments with no host access • Why we built a new cross-platform VMM from scratch • What this means for running agents safely in practice If you’re thinking about how to run agents autonomously without compromising your system, this is a useful look at the architecture behind it. Read more →

  • Running AI is no longer just about models. It’s about execution, isolation, and control. This issue of Docker Navigator explores what that looks like in practice: • Sandboxes for autonomous agents • Local model workflows • Running Docker anywhere with Offload • Supply chain security and reliability A practical look at what it takes to move from experimentation to production. Read the full newsletter →

  • Here is a great example of what it looks like to take Sandboxes from concept to real-world use. This walkthrough puts the isolation model to the test - probing boundaries, validating how it holds up, and digging into how credential injection and autonomous agent workflows behave under real conditions. This is a great read if you want a clearer understanding of what’s actually happening under the hood and how to apply these patterns in your own workflows.

    As an AI enthusiast and Security Team Leader, when I saw Docker Sandboxes I couldn't resist going deep. So I installed it, broke it, fixed it, and wrote about it.   Here's what I found 👇   🔒 The isolation is real. Each agent runs inside its own microVM with a separate kernel, separate Docker daemon, and an enforced network allow-list. Not namespace tricks: a proper hypervisor boundary.   🔑 Credential injection is genuinely clever. API keys never enter the VM. The host-side proxy intercepts HTTPS requests and injects auth headers transparently. The agent can call the APIs but can never read or exfiltrate the  credentials.   🌿 --branch mode is the feature I'll roll out with my team. The agent works on an isolated Git worktree, nothing  touches main until a human reviews and merges. That's human-in-the-loop by design: fully aligned with DORA and  standard PR workflows.   ⚡ Speed and control are not a trade-off here. YOLO mode is as fast as it needs to be. The mode you choose makes the  risk profile explicit.   As a Security Team Leader I can approve and recommend this approach. It's simple, straightforward, and low-friction enough that engineers will actually use it, which is the only security control that works.    Big kudos to Docker, Inc for shipping this 🐳    🔗 Full article: https://lnkd.in/dJgGxP3u   #DevSecOps #AIAgents #ContainerSecurity #Docker #CloudNative #Security

  • Many Hugging Face Spaces aren’t built with Arm64 in mind, and issues aren’t always obvious until you try to run them. Using a recent real-world example (ACE-Step v1.5), this guide shows how to scan a Space for Arm64 readiness in minutes, not hours. With Docker MCP Toolkit + Arm MCP Server, you can: - Identify architecture blockers before you build - Surface hidden dependency issues (like x86-only wheels) - Get a clear GO / NO-GO migration verdict If you’re targeting Apple Silicon, Arm cloud, or edge deployments, this is a practical way to validate compatibility early. Read the full walkthrough → 

  • Want to run Hugging Face Spaces on Arm64 without trial and error? Join us tomorrow for a live code-along: Docker + Arm walk through how to scan a Space, surface compatibility gaps, and apply fixes using Docker MCP Toolkit, the Arm MCP Server, and GitHub Copilot in VS Code. You’ll see: • How to assess Arm64 readiness • How MCP servers analyze containers, code, and dependencies • How to catch and fix architecture-specific issues • A full demo using a real model (ACE-Step v1.5) If you’re working with Apple Silicon, Arm cloud, or edge AI, this is a practical walkthrough you can follow along with. 📅 April 16 🕘 12:00pm EST / 9:00am PST / 9:30pm IST Join live → https://lnkd.in/gU2k2GQW

  • New episode of Ship Happens is out. Per Ploug Krogslund sits down with WordPress VIP CTO Brian Alvey to discuss how the web has evolved: from the early days of blogging to today’s AI-driven, platform-centric landscape. They explore how AI is reshaping the economics of software development and what happens when bots and agents consume content without attribution. They also get into why open source continues to play a foundational role in innovation, especially as large language models rely on open data to operate and improve. Tune in for a practical look at where the web is heading, and what it means for developers building in an AI-first world. Catch the full conversation → https://lnkd.in/geywr7DJ

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