The document provides an overview of Google Cloud Platform (GCP) and its various services, including compute, security, networking, serverless options, storage, databases, operations, CI/CD, big data, and artificial intelligence. Each section highlights specific tools and features available within GCP, such as Compute Engine for VMs, Cloud IAM for security, and BigQuery for data analytics. The content serves as a comprehensive guide for understanding the capabilities and advantages of utilizing Google Cloud in various domains.

1. What is Google Cloud
Good For?
Robert John
Google Developer Expert (ML & GCP)

2. Overview
1. What is Cloud Computing?
2. Compute
3. Security
4. Networking
5. Serverless
6. Storage
7. Databases
8. Operations
9. CI/CD
10. Big Data
11. Artificial Intelligence

3. Computer/Service
● Provided by 3rd-party
● Pay-per-use
● Near-zero maintenance
● GCP Bonus: Cloud Shell
Photo by Massimo Botturi on Unsplash

4. https://4words.dev

5. Compute
1. Compute Engine - VMs, GPUs,
TPUs, Disks
2. Kubernetes Engine - Managed
Container Orchestration
3. VMWare Engine - Virtual
Machines on Compute Engine
Photo by Tarn Nguyen on Unsplash

6. Security
1. Cloud IAM - Resource Access
Control
2. Cloud Identity-Aware Proxy -
Identity-based app access
3. Cloud KMS - Hosted key
management service
4. Cloud Security Scanner - App
Engine security scanner
5. Event Threat Detection - Scan
for suspicious activity
6. Secret Manager - Store and
manage credentials
Photo by Amol Tyagi on Unsplash

7. Networking
1. Cloud Armor - DDoS protection
2. Cloud CDN - Content delivery
network
3. Cloud NAT - Network address
translation service
4. Cloud VPN - Virtual Private
Network connection
5. Virtual Private Cloud -
Software defined networking
Photo by Ildefonso Polo on Unsplash

8. Serverless
1. Cloud Functions -
Event-driven serverless
functions
2. App Engine - Managed web
server
3. Cloud Run - Serverless for
containers

9. Storage
1. Cloud Filestore - Managed NFS
server
2. Cloud Storage - Multi-class
multi-region object storage
3. Persistent Disk - Block
storage for VMs
4. Local SSD - VM locally
attached SSD
Photo by Frank R on Unsplash

10. Databases
1. Cloud Bigtable -
Petabyte-scale, low-latency,
non-relational
2. Cloud Firestore - Serverless
NoSQL document DB
3. Cloud Memorystore - Managed
Redis
4. Cloud Spanner - horizontally
scalable relational DB
5. Cloud SQL - Managed
relational DB

11. Operations
1. Cloud Debugger - Live, production
debugging
2. Error Reporting - App error
reporting
3. Cloud Logging - Centralized
logging
4. Cloud Monitoring - Infrastructure
and app monitoring
5. Cloud Profiler - CPU and heap
profiling
6. Cloud Trace - App performance
insights Photo by Campaign Creators on Unsplash

12. CI/CD
1. Cloud Build - CI/CD Platform
2. Cloud Deploy - GKE continuous
deployment
3. Container Registry - Private
container storage
4. Artifact Registry - Universal
package manager
5. Source Repositories - Hosted
private git repos

13. Big Data
1. Cloud Composer - Managed
workflow orchestration
2. Dataflow - stream/batch data
processing
3. Pub/Sub - realtime
messaging/Apache Kafka
4. Datastream - change data capture
& replication
5. IoT Core - Manage devices,
ingest data
6. BigQuery - petabyte-scale data
warehouse/analytics
7. Dataprep - Visual data wrangling

14. Artificial Intelligence
1. Notebooks - Managed
Jupyterlab notebook instances
2. Pipelines - Hosted ML
Workflows
3. AutoML - Hosted Neural
Architecture Search
4. ML APIs - Ready-to-use APIs
5. Cloud TPUs - Hardware
acceleration for ML
6. Dialogflow - Create
conversational interfaces
7. Explainable AI - Understand
ML Model Predictions
Photo by Maximalfocus on Unsplash

15. https://cloud.google.com