DIY LLMOps: Building Your Own AI Platform with Kubernetes and Open Source

After 20 years in this industry, I’ve seen DIY LLMOps evolve from [past state] to [current state]. The fundamentals haven’t changed, but the implementation details have. Let me share what I’ve learned.

The Fundamentals

Understanding the fundamentals is crucial. Many people skip this and jump to implementation, which leads to problems later.

How It Actually Works

Here’s how it works under the hood, based on my experience:

Advanced Patterns

Once you understand the basics, these patterns become obvious:

Production Reality

What works in theory doesn’t always work in production. Here’s what I’ve learned:

Case Study

Let me walk through a real example from [specific project]:

Lessons Learned

After implementing this multiple times, here’s what I know:

Conclusion

The key insight is [main point]. Focus on [what matters].