Meet the Ecosystem: Partners and Customers at WeAreDevelopers with Docker
Meet the partners and customers bringing practical AI, security, and development sessions to the Docker Pavilion at WeAreDevelopers. The post explains why a strong ecosystem matters to developers, announces the sessions and speakers, and invites attendees to connect with the teams building and using these technologies.
Read the full story on Docker BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
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Recent updates from Docker, so you can tell whether this is a one-off or part of a pattern.
Manufacturing Trust for AI Agents | Docker’s WeAreDevelopers Keynote
Docker's WeAreDevelopers keynote shows how Sandboxes, Kits, and Cloud Sandboxes give AI agents strong isolation and reproducible authority.
Introducing Cloud Sandboxes: Start on Your Laptop, Finish in the Cloud
Run agents on your laptop, in the cloud, and move between them with one command, all safely. Earlier this year we launched Docker Sandboxes: microVM environments where coding agents can work autonomously in a safe way.
From Dockerfile to Kit: the Docker Sandboxes Kit Specification
Docker's Sandbox Kit Specification v3 packages an AI agent's network rules, credentials, and volumes as an ordinary, pinnable OCI image.
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What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform
The convergence of enterprise IT and physical computing is accelerating. As artificial intelligence transitions from purely digital environments into autonomous systems, industrial automation, and smart edge devices, the software foundation behind these systems must be as resilient as the physical machines themselves.To power this next generation of intelligent systems, we’re pleased that Red Hat…
Best practices guide for customizing Gemini models via Reinforcement Learning (RL)
Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini. So here at Google Cloud, we packaged it into a managed RL fine-tuning service (RLFT service) — you bring prompts and a reward function; we handle the infrastructure and the…
Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications
The rise of generative AI promised a silver bullet, but for most enterprises, especially banks, digital transformation remains a slow, complex, and costly endeavor. Early reports suggested massive developer productivity gains. But when AI is applied to complex enterprise systems, organizations often collide with what we call the AI productivity paradox.According to a Stanford software engineering…
AI Reliability Engineering for Dependable Humans | Solo.io
Learn AI reliability engineering (AIRE): how AI agents help SRE and platform teams triage incidents faster and stay dependable.