G Cloud Services List

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G Cloud Services List

Google Cloud Platform (GCP) offers a wide range of cloud services and products to meet the needs of developers, businesses, and organizations. Here’s a list of some of the core Google Cloud services and categories:

  1. Compute Services:

    • Google Compute Engine: Provides virtual machines (VMs) for running applications.
    • Google Kubernetes Engine (GKE): Managed Kubernetes service for container orchestration.
    • Google App Engine: Platform as a Service (PaaS) for deploying and scaling web applications.
  2. Storage Services:

    • Google Cloud Storage: Object storage for storing and retrieving data.
    • Google Cloud SQL: Managed relational database service.
    • Google Cloud Bigtable: NoSQL, massively scalable database for large datasets.
    • Google Cloud Firestore: Serverless, scalable NoSQL database for mobile and web apps.
  3. Networking Services:

    • Virtual Private Cloud (VPC): Networking for isolated cloud resources.
    • Cloud Load Balancing: Distributes traffic to multiple instances or regions.
    • Cloud CDN: Content Delivery Network for serving web content.
    • Cloud Interconnect: High-speed, dedicated network connections.
    • Cloud DNS: Managed Domain Name System (DNS) service.
  4. Big Data and Analytics:

    • BigQuery: Fully managed, serverless, and highly scalable data warehouse.
    • Dataflow: Stream and batch data processing.
    • Dataprep: Data preparation and cleaning tool.
    • AI and Machine Learning Services: AI Platform, AutoML, Vision AI, Natural Language AI, Translation AI, etc.
    • Data Studio: Data visualization and reporting tool.
  5. Identity and Security:

    • Identity and Access Management (IAM): Access control for GCP resources.
    • Cloud Identity: Identity and access management for users and devices.
    • Cloud Identity-Aware Proxy (IAP): Access control for web applications.
    • Cloud Identity Platform: User authentication and authorization service.
  6. Developer Tools:

    • Cloud Source Repositories: Git repositories hosted on GCP.
    • Cloud Build: Continuous integration and continuous delivery (CI/CD) platform.
    • Cloud Debugger: Debugging tool for applications running in production.
    • Cloud Trace: Application performance monitoring.
  7. Management and Monitoring:

    • Cloud Console: Web-based management console.
    • Stackdriver: Monitoring, logging, and diagnostics.
    • Cloud Deployment Manager: Infrastructure as Code (IaC) tool.
    • Cloud Scheduler: Job scheduling service.
  8. Serverless and Function as a Service (FaaS):

    • Cloud Functions: Event-driven, serverless functions.
    • Cloud Run: Managed container platform for serverless applications.
  9. IoT and Edge Computing:

    • Cloud IoT Core: Managed IoT services for device management and data ingestion.
    • Edge TPU: Custom hardware for machine learning inferencing at the edge.
  10. Databases:

    • Spanner: Globally distributed, strongly consistent database.
    • Memorystore: Managed in-memory data store.
    • Firestore: Serverless, scalable NoSQL database.
    • Cloud Spanner: Horizontally scalable, globally distributed database.
  11. APIs and Developer Services:

    • Apigee: API management platform.
    • Cloud Endpoints: API management for containerized services.
  12. AI and Machine Learning:

    • AI Platform: Machine learning model development and deployment.
    • AutoML: Automated machine learning.
    • Dialogflow: Natural language understanding for chatbots and virtual agents.

Google Cloud Training Demo Day 1 Video:

You can find more information about Google Cloud in this Google Cloud Link

 

Conclusion:

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