The emergence of containerization has brought about a significant
transformation in software development and deployment by providing
a consistent and scalable environment on many platforms.For
developers trying to optimize their operations, Docker in
particular has emerged as the preferred technology. By using
containers as the foundation, developers gain the same key benefits
— portability, scalability, efficiency, and security — that they
rely on for other workloads, seamlessly extending them to ML and AI
applications.Using a real-world example involving a Snake AI game,
we’ll examine in this article how
Modern software development emphasizes speed and agility, making
efficient testing crucial.DORA research reveals that elite teams
thrive with both high performance and reliability.They can achieve
127x faster lead times, 182x more deployments per year, 8x lower
change failure rates and most impressively, 2,293x faster recovery
times after incidents.The secret sauce is they “shift left.”
Shift-Left is a practice that moves integration activities like
testing and security earlier in the development cycle, allowing
teams to detect and fix issues before they reach production.By
incorporating local
Developers need a fast, secure, and reliable way to build, share,
and run applications — and Docker makes that easy.With the Docker Desktop 4.39
release, we’re excited to announce a few developer productivity
enhancements including Docker AI Agent with Model Context Protocol
(MCP) and Kubernetes support, general availability of Docker
Desktop CLI, and `platform` flag support for more seamless
multi-platform image management.
Docker AI
Agent:Smarter, more capable, and now with MCP & Kubernetes
Are in-person tech conferences back in fashion?Or are engineers
just willing to travel for fresh baguettes?In this post, I round up
a few highlights from KubeCon Europe
2024, held March 19-24 in Paris. My last KubeCon was in
Detroit in
2022, when tech events were still slowly recovering from
COVID.But KubeCon EU in Paris was buzzing, with more than 12,000
attendees!I couldn’t even get into a few of the most popular talks
because the lines to get in wrapped around
Continuous learning is a necessity for developers in today’s
fast-paced development landscape.Docker recognizes the importance
of keeping developers at the forefront of innovation, and to do so,
we aim to empower the developer community with comprehensive
learning resources.
Docker has taken a multifaceted approach to developer education
by forging partnerships with renowned platforms like Udemy and
LinkedIn Learning, investing in our own documentation and guides,
and highlighting the incredible learning content created by the
developer community, including Docker Captains.
The emergence of containerization has brought about a significant
transformation in software development and deployment by providing
a consistent and scalable environment on many platforms.For
developers trying to optimize their operations, Docker in
particular has emerged as the preferred technology. By using
containers as the foundation, developers gain the same key benefits
— portability, scalability, efficiency, and security — that they
rely on for other workloads, seamlessly extending them to ML and AI
applications.Using a real-world example involving a Snake AI game,
we’ll examine in this article how 
Modern software development emphasizes speed and agility, making
efficient testing crucial.DORA research reveals that elite teams
thrive with both high performance and reliability.They can achieve
127x faster lead times, 182x more deployments per year, 8x lower
change failure rates and most impressively, 2,293x faster recovery
times after incidents.The secret sauce is they “shift left.”
Shift-Left is a practice that moves integration activities like
testing and security earlier in the development cycle, allowing
teams to detect and fix issues before they reach production.By
incorporating local 
