Here's a more detailed look at some of these services:
https://www.cloudtechgyani.com/2023/08/mastering-gcp-cloud.html
Compute & Infrastructure:
- Compute Engine: Provides virtual machines (VMs) for running applications and workloads.
- Google Kubernetes Engine (GKE): A managed Kubernetes service for deploying and managing containerized applications.
- Cloud Run: A serverless compute platform for deploying and running containerized applications.
Storage:
- Cloud Storage: Offers scalable object storage for storing and accessing data.
- Persistent Disk: Provides network storage devices that can be used by virtual machines.
Databases:
- Cloud SQL: A fully managed database service for various database engines like MySQL, PostgreSQL, and SQL Server.
- Cloud Datastore: A highly scalable NoSQL database service.
- Cloud Bigtable: A service for managing large-scale structured data.
Data Analytics & Machine Learning:
- BigQuery: A serverless, highly scalable, and cost-effective cloud data warehouse.
- Dataflow: A managed service for real-time and batch data processing.
- Vertex AI: A unified machine learning platform for model development and deployment.
- BigQuery ML: Allows you to build machine learning models using SQL queries.
Other Notable Services:
- App Engine: A platform-as-a-service (PaaS) for building and deploying web applications.
- Cloud Functions: A serverless compute service for running individual functions.
- Cloud Load Balancing: A software-defined, managed service for distributing traffic across resources.
- Cloud CDN: A content delivery network for serving content quickly and efficiently.
- Dialogflow: A conversational AI platform for building chatbots and voice assistants.
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