⚙️ DevOps / MLOps / AIOps
AI Development Tools & MLOps
MLOps with Databricks - Comprehensive introduction to MLOps best practices using Databricks as a strong platform for ML lifecycle management. Source: Medium
LLM-D: Building Next-Gen AI with LLMs, RAG & Kubernetes - Framework for combining LLMs, Retrieval-Augmented Generation, and Kubernetes for scalable AI applications. Source: Frank's World
DevOps Tools & Platforms
- SeqOps and DevOps Managed Services - Analysis of modern DevOps managed services and the emerging SeqOps methodology transforming software development lifecycle. Source: DevOps School
Observability & Monitoring
Observability for AI Workloads - New imperative for debugging, evaluation, cost tracking, and safety in production AI workloads. Source: Medium
Coroot: AI-Powered Root Cause Analysis - Open-source observability and APM tool combining metrics, logs, traces, continuous profiling, and SLO-based alerting with AI-powered root cause analysis. Source: GitHub
AI Infrastructure & Development
Building GenAI Systems from First Principles - Comprehensive guide to understanding and implementing GenAI systems beyond just using frameworks. Source: Medium
Mastering AI Gateways for Security - Integrated monitoring tools for managing AI model deployments with real-time dashboards tracking request volume, error rates, and latency distribution. Source: APIPark
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