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AI in Production Guide
Introduction
Chapter 1 - Understanding AI's Landscape
Chapter 2 - Ideation and Goal Setting
Chapter 3 - Building the Right Team
Chapter 4 - Data Management and Ethics
Chapter 5 - Design and Development
Chapter 6 - Testing and Iteration
Chapter 7 - Performance
Chapter 8 - Networking and Security
Chapter 9 - Cost Management and Optimization
Chapter 10 - Reliability and High Availability
Chapter 11 - Scaling and Quota Management
Chapter 12 - Observability
Chapter 13 - Multi-tenant Architecture
Chapter 14 - Deployment Strategies
Chapter 15 - Monitoring and Maintenance
Content Pack Proposal
GitHub
Chapter 12: Keeping a Log: Observability
Description
: Importance of observability in AI systems. Resources on monitoring, logging, and analyzing AI system performance.
