Cloud Computing
Explore recommended reads, summarized by AI
AI and Machine Learning
Machine learning infrastructure, generative AI, and GPU computing on cloud platforms.
AI Infrastructure
Azure Certification
Lab exercises and preparation materials for Microsoft Azure certification exams.
Azure Exam Labs
Cloud Architecture and Security
Design patterns, security practices, and architectural strategies for cloud systems.
Cloud Architecture and Design
Cloud Security Careers
Cloud Fundamentals
Introductions to cloud computing concepts, service models, and infrastructure basics.
Cloud Computing Basics
Cloud Infrastructure Services
Cloud Networking
Cloud Reliability
Outages, infrastructure failures, and lessons from cloud service disruptions.
Cloud Outages and Failures
Containers and Orchestration
Docker, Kubernetes, and tools for managing containerized workloads at scale.
Docker and Containerization
Kubernetes Fundamentals
Kubernetes Operations
Data and Analytics
Data warehousing, streaming platforms, and analytics tools for cloud-based data processing.
Data Streaming Platforms
Data Warehousing and Analytics
Development Tools
Programming languages, version control, and development practices for cloud engineers.
Git Version Control
Linux System Administration
Python Development
DevOps and Automation
Infrastructure as code, CI/CD pipelines, and DevOps practices for cloud environments.
DevOps Practices
GitOps and Developer Platforms
Terraform and Infrastructure as Code
Industry Trends
Predictions, debates, and commentary on the future direction of cloud computing.
Future of Cloud Computing
Microservices
Patterns and practices for designing and operating distributed microservices architectures.
Microservices Architecture
Serverless Computing
Serverless functions, cost analysis, and debates over serverless versus traditional infrastructure.
