Google Cloud Terminology: A Comprehensive Guide 2024

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Google Cloud is a suite of cloud computing services offered by Google. It provides a range of tools and services for computing, storage, data analytics, machine learning, networking, and application development.

In this blog, we will discuss the essential Google Cloud Platform (GCP) terminology and concepts.

Google Cloud Terminology & Services

1. Compute Engine

Overview: Infrastructure-as-a-Service (IaaS) for running virtual machines.
Key Concepts: Instances, machine types, persistent disks, snapshots.

2. Cloud Storage

Overview: Object storage service for storing and accessing data.
Key Concepts: Buckets, objects, storage classes (Standard, Nearline, Coldline), versioning.

3. Google Kubernetes Engine (GKE)

Overview: Managed Kubernetes service for containerized applications.
Key Concepts: Clusters, nodes, pods, deployments, Kubernetes API.

4. Cloud Pub/Sub

Overview: Globally distributed message queuing service.
Key Concepts: Topics, subscriptions, messages, push and pull delivery.

5. BigQuery

Overview: Serverless, highly scalable enterprise data warehouse.
Key Concepts: Datasets, tables, SQL-like queries, BigQuery ML.

6. Cloud Functions

Overview: Serverless compute service for event-driven functions.
Key Concepts: Functions, triggers, event sources (e.g., Pub/Sub, Cloud Storage).

7. Cloud Identity & Access Management (IAM)

Overview: Manage access control for GCP resources.
Key Concepts: Roles, permissions, policies, service accounts.

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8. Cloud Bigtable

Overview: Fully managed NoSQL database service for large analytical and operational workloads.
Key Concepts: Tables, rows, columns, nodes, data storage.

9. Cloud SQL

Overview: Managed relational database service for MySQL, PostgreSQL, and SQL Server.
Key Concepts: Instances, databases, replicas, backups.

10. Cloud Spanner

Overview: Globally distributed, horizontally scalable relational database service.
Key Concepts: Instances, databases, nodes, ACID transactions.

11. Cloud Dataproc

Overview: Managed Apache Hadoop and Apache Spark service.
Key Concepts: Clusters, jobs, initialization actions, workflows.

12. Cloud Dataflow

Overview: Managed service for real-time stream and batch data processing.
Key Concepts: Pipelines, transforms, windows, watermarks.

13. Firebase

Overview: Platform for building mobile and web applications.
Key Concepts: Realtime Database, Firestore, authentication, hosting, functions.

14. Cloud Memorystore

Overview: Fully managed in-memory data store service.
Key Concepts: Redis, Memcached, instances, nodes, data persistence.

15. Apigee API Platform

Overview: API management platform for designing, deploying, and managing APIs.
Key Concepts: APIs, API proxies, API products, developer portals.

16. Anthos

Overview: Platform for managing applications on-premises or in the cloud.
Key Concepts: Hybrid and multi-cloud management, Kubernetes clusters.

17. Cloud AI Platform

Overview: Platform for building, training, and deploying machine learning models.
Key Concepts: Notebooks, models, training jobs, prediction services.

18. Cloud IoT Core

Overview: Fully managed service for securely connecting and managing IoT devices.
Key Concepts: Devices, registries, MQTT/HTTP protocols, device management.

19. Cloud AutoML

Overview: Automated machine learning service for building custom ML models.
Key Concepts: Datasets, model training, evaluation, deployment.

20. Cloud Logging

Overview: Monitoring and logging service for GCP resources.
Key Concepts: Logs, metrics, alerts, log queries.

21. Cloud Monitoring

Overview: Monitoring service for GCP and hybrid cloud environments.
Key Concepts: Metrics, dashboards, uptime checks, alerting policies.

22. Cloud Security Command Center

Overview: Security and risk management service for GCP resources.
Key Concepts: Security findings, asset inventory, security health analytics.

23. Cloud Storage Transfer Service

Overview: Managed service for transferring large amounts of data to Google Cloud Storage.
Key Concepts: Transfer jobs, schedules, source and destination settings.

24. Cloud CDN (Content Delivery Network)

Overview: Global content delivery service for fast and secure delivery of web content.
Key Concepts: Edge locations, cache invalidation, HTTPS load balancing.

25. Cloud Filestore

Overview: Managed file storage service for applications that require a file system interface.
Key Concepts: File shares, instances, NFS protocol, capacity scaling.

ABOUT THE AUTHOR

Rashmi Bhardwaj

I am here to share my knowledge and experience in the field of networking with the goal being – “The more you share, the more you learn.”

I am a biotechnologist by qualification and a Network Enthusiast by interest. I developed interest in networking being in the company of a passionate Network Professional, my husband.

I am a strong believer of the fact that “learning is a constant process of discovering yourself.”
– Rashmi Bhardwaj (Author/Editor)

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