♦️Google Cloud

Google cloud component checklist - System design

1. Client-Side Components

• Web Clients: Browsers, Web applications

• Mobile Clients: Android, iOS applications

2. Server-Side Components

• Web Servers:

  • Compute Engine: Virtual machines running web servers

  • App Engine: Managed platform for building and hosting web applications

• Application Servers:

  • Cloud Functions: Serverless compute for event-driven workloads

  • App Engine: Managed platform for application services

• Database Servers:

  • Cloud SQL: Managed relational databases (MySQL, PostgreSQL, SQL Server)

  • Cloud Spanner: Globally distributed, horizontally scalable relational database

3. Databases

• Relational Databases (SQL):

  • Cloud SQL

  • Cloud Spanner

• NoSQL Databases:

  • Firestore: Document database for building applications

  • Bigtable: NoSQL database for large analytical and operational workloads

4. Cache

• In-Memory Cache:

  • Cloud Memorystore: Managed Redis and Memcached

• Content Delivery Network (CDN):

  • Cloud CDN: Content delivery network for delivering content globally

5. Load Balancers

• Cloud Load Balancing: Distribute traffic across multiple servers

  • HTTP(S) Load Balancing: For HTTP/HTTPS traffic

  • TCP/UDP Load Balancing: For non-HTTP/HTTPS traffic

  • SSL Proxy and TCP Proxy Load Balancing: For secure and non-secure traffic

6. Message Queues

• Pub/Sub: Asynchronous messaging and event-driven processing

7. API Gateways

• API Gateway: Securely expose APIs to external and internal consumers

8. Microservices

• Google Kubernetes Engine (GKE): Managed Kubernetes for container orchestration

• Cloud Run: Serverless containers for running stateless HTTP containers

9. Service Discovery

• Service Directory: Service discovery for microservices

10. Configuration Management

• Secret Manager: Manage and access secrets securely

• Config Connector: Manage Google Cloud resources using Kubernetes configuration files

11. Monitoring and Logging

• Cloud Monitoring: Full-stack monitoring for applications, infrastructure, and network

• Cloud Logging: Fully managed service to store, search, analyze, and monitor log data

• Error Reporting: Real-time error tracking

12. Authentication and Authorization

• Identity and Access Management (IAM): Manage user access and encryption keys

• Firebase Authentication: User authentication, authorization, and user management

13. Scalability and Reliability

• Horizontal Scaling:

  • Use Compute Engine instance groups for automatic scaling

  • App Engine auto-scaling for web apps

• Vertical Scaling:

  • Increase the resources of individual Compute Engine instances

• Redundancy:

  • Use Multi-Regional Storage and Cloud Load Balancing for redundancy

• Backup and Disaster Recovery:

  • Cloud Storage and Cloud SQL backups for data integrity and availability

14. Networking

• Cloud DNS: Scalable, reliable, and managed authoritative DNS service

• Virtual Private Cloud (VPC): Private network within Google Cloud

• Cloud Firewall: Managed firewall service

15. DevOps and CI/CD

• Cloud Build: Continuous integration and delivery

• Artifact Registry: Store, manage, and secure your build artifacts

• Cloud Source Repositories: Source control service

16. Data Processing

• Batch Processing:

  • Dataflow: Stream and batch processing using Apache Beam

• Stream Processing:

  • Pub/Sub: Real-time messaging

  • Dataflow: Real-time data processing

17. Analytics and Reporting

• BigQuery: Serverless, highly scalable, and cost-effective multi-cloud data warehouse

• Looker: Business intelligence and analytics platform

• Data Studio: Dashboarding and reporting tool