CLOUD

This section covers cloud topics I have been studying and preparing for.  I have tested multiple cloud platforms and currently focusing on Google Cloud Platform.  I will be updating this page when I become officially certified.  I have finished Coursera preparation courses listed at the bottom.

Introduction to Cloud Computing:

• Regions, zones, and resource hierarchy

• Projects, accounts, and billing

Compute Services:

• Virtual machines (VMs)

• Container orchestration (Kubernetes)

• Platform-as-a-Service (PaaS)

• Serverless computing (Functions-as-a-Service)

Storage Services:

• Object storage

• Relational and NoSQL databases

• Managed database services

• Distributed databases

Networking Services:

• Virtual networks (VPC)

• Load balancing and content delivery networks (CDN)

• Domain Name System (DNS) and Network Address Translation (NAT)

• Hybrid and multi-cloud connectivity

Security Services:

• Identity and Access Management (IAM)

• Security monitoring and threat detection

• Key management and encryption

• Data protection and compliance

Monitoring and Logging:

• Performance monitoring and alerting

• Log management and analysis

• Error reporting and tracing

Big Data and Analytics:

• Data warehousing and query services

• Messaging and event-driven architectures

• Data processing and ETL pipelines

• Managed Hadoop and Spark clusters

Machine Learning and AI:

• Managed ML platforms and tools

• AutoML and custom model training

• Pre-trained ML APIs (vision, speech, NLP, translation)

DevOps and CI/CD:

• Source code repositories and version control

• Build, test, and deployment pipelines

• Infrastructure-as-Code (IAC) and configuration management

• Workflow orchestration and task scheduling

Cloud Architecture Best Practices:

• Designing for high availability, reliability, and scalability

• Optimizing performance and cost

• Migrating and modernizing applications

• Hybrid and multi-cloud strategies