Docker Sandboxes is a new
primitive in the Docker’s ecosystem that allows you to run AI
agents or any other workloads in isolated micro VMs.It provides
strong isolation, convenient developer experience and a strong
security boundary with a network proxy configurable to deny agents
connecting to arbitrary internet hosts.The network proxy will also
conveniently inject the API keys, like your
ANTHROPIC_API_KEY, or OPENAI_API_KEY in
the network proxy so the agent doesn’t have access to them at all
and cannot leak them.
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.
I have been recently watching The Americans, a decade-old
TV series about undercover KGB agents living disguised as a normal
American family in Reagan’s America in a paranoid period of the
Cold War.I was not expecting this weekend to be reading mailing list
posts of the same type of operation being performed on open
source maintainers by agents with equally shadowy identities
(CVE-2024-3094). As The Grugq explains,
“The JK-persona hounds Lasse (the maintainer) over multiple threads
Videos are full of valuable information, but tools are often needed
to help find it.From educational institutions seeking to analyze
lectures and tutorials to businesses aiming to understand customer
sentiment in video reviews, transcribing and understanding video
content is crucial for informed decision-making and
innovation.Recently, advancements in AI/ML technologies have made
this task more accessible than ever. Developing GenAI
technologies with Docker opens up endless possibilities for
unlocking insights from video content.By leveraging transcription,
embeddings, and large language models (LLMs), organizations can
gain deeper understanding