Google Cloud - PCA - Chapter 1: Cloud Service Models, Core Compute Services, Storage Solutions, Networking Services, Big Data and Analytics, Global Infrastructure
Meeting Purpose
Provide a comprehensive introduction to Google Cloud Platform (GCP) fundamentals, covering core services and concepts for cloud architecture.
Key Takeaways
- GCP offers a wide range of services across compute, storage, networking, and analytics, designed for scalability, performance, and global reach
- Key compute options include Compute Engine (VMs), App Engine (PaaS), Kubernetes Engine (containers), and Cloud Functions (serverless)
- GCP's global infrastructure spans 17+ regions and 52+ zones, providing high availability and disaster recovery options
- Projects are the fundamental organizational unit in GCP, controlling resources, billing, and access management
Topics
Cloud Service Models
- Infrastructure as a Service (IaaS): Rent computing infrastructure (e.g., VMs, networks, storage)
- Platform as a Service (PaaS): Provides full deployment and development environment
- Software as a Service (SaaS): Delivers software over the internet (e.g., Gmail, Google Docs)
Core Compute Services
- Compute Engine: Customizable VMs, ideal for legacy apps and full OS control
- App Engine: PaaS for web applications, handles scaling and infrastructure management
- Kubernetes Engine (GKE): Managed Kubernetes service for container orchestration
- Cloud Functions: Serverless, event-driven compute for small, specific tasks
Storage Solutions
- Cloud Storage: Object storage for unstructured data, with multiple storage classes
- Cloud SQL: Managed relational databases (MySQL, PostgreSQL, SQL Server)
- Cloud Bigtable: NoSQL database for high-throughput, low-latency workloads
- Cloud Spanner: Globally distributed, strongly consistent relational database
- Cloud Datastore/Firestore: NoSQL document database for serverless applications
- Persistent Disks: Block storage for Compute Engine and GKE
Networking Services
- Virtual Private Cloud (VPC): Private, isolated network within GCP
- Cloud Load Balancing: Distributes traffic across regions, zones, and instances
- Cloud CDN: Content delivery network for faster content serving
- Cloud Interconnect: High-speed connectivity between on-premises and GCP
- Cloud DNS: Managed domain name system service
Big Data and Analytics
- BigQuery: Serverless data warehouse for large-scale analytics
- Dataproc: Managed Hadoop and Spark service
- Pub/Sub: Global messaging and event ingestion service
- Data Studio: Data visualization and dashboarding tool
Global Infrastructure
- 17+ regions, 52+ zones, and 100+ points of presence globally
- Regions contain multiple zones for fault tolerance
- Connected by Google's private fiber optic network for low latency
Next Steps
- Explore GCP console and create a project to gain hands-on experience
- Dive deeper into specific services based on use case requirements
- Consider GCP certification paths for professional development
- Experiment with different compute options to understand their strengths and use cases
- Review GCP's global infrastructure to plan for high availability and disaster recovery
Annotations
HIGHLIGHT
- chapter 1 - Just explains exam preparation focus on architecture and cloud computing fundamentals - WATCH (35 secs): https://fathom.video/share/egiCTBU7xzwnRhuLJHm7dKF92gT--phx?timestamp=140.584608
- storage services - Just discusses storage services and maintaining efficient app architecture - WATCH (25 secs): https://fathom.video/share/egiCTBU7xzwnRhuLJHm7dKF92gT--phx?timestamp=917.839155
- networking - Just introduces networking as fundamental component for cloud platform functionality - WATCH (20 secs): https://fathom.video/share/egiCTBU7xzwnRhuLJHm7dKF92gT--phx?timestamp=1725.330124
- big data and analytics - WATCH (15 secs): https://fathom.video/share/egiCTBU7xzwnRhuLJHm7dKF92gT--phx?timestamp=2305.591035