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The Ops Compendium
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The Ops Compendium
Definitions
ML & DL Compendium
MLOps
MLOps Intro
MLOps Teams
MLOps Literature
MLOps Course
MLOps Patterns
ML Experiment Management
ML Model Monitoring & Alerts
MLOps Tools
MLOps Deployment
Feature Stores & Feature Pipelines
Model Formats
AI As Data
MLOps Interview Questions
Software Patterns
ML Architecture
DataOps
SQL
Tools
Lakes & Warehouses
Database Modeling
Data Engineering
Data Pipelines
Data Strategy
Data Vision
Data Teams
Data Catalogs
Data Governance
Data Quality
Data Observability
Data Program Management
Data KPIs
Data Mesh
Data Contract
Data Product
Data Engineering Questions & Training
Data Patterns
Data Architecture
DevOps
DevOps Strategy
DevOps Tools
DevSecOps
Definitions
Tools
Concepts
Architecture
Problems
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MLOps Literature
1.
Designing data-intensive applications reliable maintainable
1.
medium
2.
Google SRE
1.
Site Reliability Engineering
2.
Site Reliability Workbook
3.
Designing Distributed systems patterns paradigms
4.
Building Microservices: Designing Fine-Grained Systems
5.
Jez Humble
1.
Accelerate software performing organizations
2.
DevOps Handbook.
3.
Continuous delivery deployment
4.
Lean Enterprise
6.
Clean code
(java) first chapters are good
7.
Clean code in Python
1.
Medium
2.
git
8.
Domain-Driven Design
9.
The complete python course
10.
pyVideo
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