Platform engineering is the discipline of designing and building toolchains and workflows that enable self-service capabilities for software engineering organizations in the cloud-native era.

Platform Engineering

I would love to know how others are building LLM platform in production.  I think we have sufficient blogs/papers/books and details about training the models but interested to know how you are using it effectively like cost,  reliability consideration etc.

<@U051YH6MR89> will be sharing this on Zurich Meetup in August :) 

I have no idea :) here is a link to the event: <https://www.meetup.com/cloud-native-computing-switzerland/events/298559692/|https://www.meetup.com/cloud-native-computing-switzerland/events/298559692/>

Yeah I think if it can be streamed online that would be great

I'm trying as much as possible to reuse existing tools and infrastructure. For example, observability is a huge problem for LLMs and Agents. We're seeing a whole new set of tools crop up for LLM observability. However, I think in many cases you can get by reusing existing solutions. For example, my observability story is centered around structured logging and I reuse my existing logging infrastructure (Cloud Logging)