Google Cloud Platform Cheat Sheet: Core Services, AI, and Migration Insights

The Google Cloud Platform (GCP) has evolved from its 2008 App Engine launch into a full‑featured cloud ecosystem that competes with Microsoft Azure and Amazon Web Services. Despite trailing AWS and Azure in overall market share, Google continues to invest heavily in cost‑effective solutions and advanced AI/ML capabilities that attract large enterprises.

Designed for executives, operations leaders, IT architects, and developers, this cheat sheet consolidates the most essential GCP offerings and practical insights. It is a living resource that will be updated as new services and data become available.

History & Evolution

Google App Engine debuted in April 2008 as a PaaS platform that let developers deploy web applications on Google’s infrastructure. By September 2011 it was renamed Google Cloud Platform, and since then Google has added compute, storage, networking, AI, and hybrid‑cloud tools that bring GCP closer to parity with Azure and AWS.

Core Product Categories

1. Compute: Shielded VMs, Compute Engine, App Engine, Cloud Functions, Kubernetes Engine, GPUs, Cloud Run, etc.
2. API Management: API Gateway, API Monetization, API Analytics, Cloud Endpoints, Cloud Healthcare API.
3. AI & Machine Learning: Vertex AI (AutoML, AI Hub), Cloud TPU, Dialogflow CX, Natural Language, Speech‑to‑Text, Vision, Translation, Video Intelligence.
4. Databases: Cloud Spanner, Cloud SQL, Cloud Bigtable, Cloud Firestore, Memorystore.
5. Internet of Things (IoT): Cloud IoT Core, Edge TPU.
6. Data Analytics: BigQuery, Dataflow, Dataproc, Data Fusion, Dataprep, Datalab, Cloud Composer.
7. Management & Monitoring: Cloud Console, Operations Suite (formerly Stackdriver), Logging, Monitoring, Debugger, Trace.
8. Developer Tools: Cloud SDK, Cloud Build, Cloud Source Repositories, Artifact Registry, Cloud Functions, Cloud Run, IDE plugins.
9. Media & Rendering: Zync Render, Anvato.
10. Hybrid & Multi‑cloud: Anthos, GKE on‑prem, Cloud Run for Anthos, Istio, Service Mesh.
11. Networking: Cloud Load Balancing, VPC, Cloud CDN, Cloud Armor, Cloud Interconnect, Cloud VPN, Cloud DNS, Cloud NAT.
12. Migration: Transfer Appliance, Data Transfer Service, VM Migration, Velostrata (now Cloud Migrate).
13. Storage: Cloud Storage, Persistent Disk, Filestore.
14. Security & Identity: Cloud Identity, IAM, Cloud Key Management Service, Data Loss Prevention, Security Command Center.

Why GCP Matters

GCP’s strengths lie in large‑scale data processing, advanced AI/ML APIs, and container orchestration. Enterprises that rely heavily on analytics, real‑time insights, or machine learning often choose GCP for its high‑performance BigQuery, managed Kubernetes, and AI services. Additionally, GCP offers strong integration with open‑source tools and a robust serverless platform that competes with AWS Lambda and Azure Functions.

Use Cases & Benefits

• High‑throughput data analytics for financial services and telecommunications.
• AI‑powered customer engagement and automation in retail and finance.
• Scalable web and mobile back‑ends using App Engine, Cloud Run, or GKE.
• Hybrid deployments via Anthos for regulated industries.
• Secure, compliance‑ready data storage with Cloud Storage, Bigtable, and Spanner.

Getting Started

GCP offers a generous free tier and a $300 credit for the first year, which can be applied to any project. Start‑up partners receive additional credits through the Google Cloud for Startups program. The live migration feature lets VMs move between hosts without downtime, simplifying migration and maintenance.

To deepen your expertise, explore the Google Cloud certification roadmap and select a credential that aligns with your career goals.