Google Cloud Terminology: A Comprehensive Guide 2024

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.

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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