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Platform Engineering Resources
mlflow/mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
The Case for Platform Engineering in 2024
Why organizations are moving away from traditional DevOps towards internal developer platforms.
Awesome Platform Engineering
A curated list of platform engineering resources, tools, and tutorials.
Why Setting Up Observability Takes Forever (And What To Do About It)
Everyone talks about observability like it is a solved problem. Pick a stack, wire it up, done. In...
Is Backstage worth it? The real question is whether anyone will use it
The "is Backstage worth it" debate is always about cost: how many engineers, how many months, how...
How to Find Every Consumer of Your GitLab CI Template
You maintain a shared GitLab CI template. You need to rename a job, change an input, or restructure...
MCP Server Architecture for Platform Teams — Giving AI Live Access to Your Infrastructure
Pipeline & Prompts | Byte size guides on DevOps, Cloud and AI AI in the Stack #3 ⚡ Byte Size...
Your senior engineer just gave notice. Most of what they knew was in the repos all along.
Tribal knowledge is two different things wearing one name. The half everyone panics about losing was...