GCP services with examples

Similarly to the previous post, writing about GCP as well.

• Compute Engine:
• Example: Similar to Amazon EC2, Compute Engine allows you to create and run virtual machines. You might use it to deploy and manage instances for various purposes like web hosting, application development, or machine learning tasks.
• Cloud Storage:
• Example: Storing and serving multimedia content for a content management system. Cloud Storage offers scalable object storage, ideal for hosting images, videos, backups, and large datasets used by applications.
• Cloud SQL:
• Example: Running a managed MySQL or PostgreSQL database for a retail application. Cloud SQL provides a fully managed relational database service, handling backups, replication, and maintenance tasks.
• Cloud Functions:
• Example: Implementing event-driven serverless functions for real-time data processing. You might use Cloud Functions to trigger actions in response to events like file uploads, database changes, or HTTP requests.
• Cloud Firestore / Cloud Bigtable:
• Example: Building a scalable database for a real-time chat application. Firestore offers a flexible, scalable NoSQL database for storing and syncing data across devices, while Bigtable is suitable for high-throughput, low-latency workloads like time-series data or machine learning.
• Cloud Pub/Sub:
• Example: Creating a message queuing system for handling data processing tasks. Pub/Sub provides reliable, scalable messaging between independent applications or microservices.
• Cloud CDN (Content Delivery Network):
• Example: Accelerating content delivery for a global news website. Cloud CDN caches content at Google's globally distributed edge points of presence, reducing latency for users accessing articles, images, and videos.
• Cloud Dataflow:
• Example: Processing and analyzing large datasets in real-time. Dataflow helps to build and execute data processing pipelines for tasks like ETL (Extract, Transform, Load), analytics, and batch processing.
• Google Kubernetes Engine (GKE):
• Example: Managing and orchestrating containerized applications at scale. GKE automates the deployment, scaling, and management of containerized applications using Kubernetes.
• Virtual Private Cloud (VPC):
• Example: Creating isolated networks for different projects or departments within a company. VPC allows you to define and control a virtual network, including IP ranges, subnets, and firewall rules.