Curated articles, resources, tips and trends from the DevOps World.
Announced as preview in July, AWS App Studio is a generative AI-powered application development service that enables users to create applications using natural language, without the need for professional software development skills.
This ongoing Docker Labs GenAI series explores the exciting space of AI developer tools. At Docker, we believe there is a vast scope to explore, openly and without the hype. We will share our explorations and collaborate with the developer community in real time.
This week, we wrapped up the final 2024 Latin America Amazon Web Services (AWS) Community Days of the year in Brazil, with multiple parallel events taking place. In Goiânia, we had Marcelo Palladino, senior developer advocate, and Marcelo Paiva, AWS Community Builder, as keynote speakers.
The release of the Open Source Initiative’s definition of open source AI at the end of October was supposed to be a milestone of consensus building.
The cloud brought with it its fair share of security challenges, expanding the attack surface well beyond the static perimeter protections of the web application firewall, network IP-based rule, and infrastructure layer configurations.
The traditional way to enable things hosted in different clouds to talk to each other has been to order a physical cross-connect (a literal cable) from a colo provider that hosts the clouds’ “onramps” (private connections to the clouds’ networks) to link them.
In the rapidly evolving tech landscape, the roles of Platform Engineers and DevOps Engineers have garnered significant attention.
APIs have long been the backbone of modern software systems, architectures, and businesses. They now dominate the web, accounting for 71% of all internet traffic.
In our previous article on AI agents, we explored how to create a basic AI agent with a persona using system prompts. Now, we’ll delve into three crucial enhancements that make our agents more sophisticated and effective: instructions, tasks, and conversation memory.
Is there a better development model than open source software? One man thinks so — and ironically, it’s the same man who wrote the original open source definition back in 1997.
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