The fastest path to AI-powered full stack observability, even for lean teams.
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This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
Best Practices on Recommendation Systems
☁️ Build multimodal AI applications with cloud-native stack
DevOps Roadmap for 2026. with learning resources
Workflow Engine for Kubernetes
A curated list for awesome kubernetes sources :ship::tada:
The Cloud Native AI Platform
Learn ML engineering for free in 4 months! Register here 👇🏼
Build, Manage and Deploy AI/ML Systems
Instant Kubernetes-Native Application Observability
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Open Source Marketplace For Developer Tools
AI Infra / AI Orchestration / AI Control Plane
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
open-appsec is a machine learning security engine that preemptively and automatically prevents threats against Web Application & APIs. This repo include the main code and logic.
Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".