Every product in the Google Cloud family described in the visual sketchnote format to grasp the capability of the tools quickly and easily.
Pull requests are welcome on README.md (this file).
Feedback and suggestions? 
Note: This project is a work in progress and this list only includes products that are publicly available. There are several products in pre-release/private-alpha that will not be included until they go public beta or GA.
Many of these products have a free tier. There is also a free trial that will enable you try almost everything.
🔗-Product Page 📄-Documentation
| Topic | Description | GCPSketchnote Video | GCPSketchnote Image | Other Links |
|---|---|---|---|---|
| Next 2020 Summary Announcements | Summary NEXT2020 |  |
 |
🔗 |
| Compute Options | Where should I run my stuff? |  |
|
|
| Cloud Run | Serverless for containerized applications |  |
 |
🔗 📄 |
| Cloud Functions | Event-driven serverless functions |  |
 |
🔗 📄 |
| Compute Engine | VMs, GPUs, TPUs, Disks |  |
 |
🔗 📄 |
| Kubernetes Engine (GKE) | Managed Kubernetes/containers |  |
 |
🔗 📄 |
| Migration Journey | How to migrate to GCP |  |
 |
🔗 |
| Migration Use cases | Different migration use cases |  |
 |
🔗 |
| Cloud Storage | Multi-class multi-region object storage |  |
 |
🔗 📄 |
| Cloud SQL | Managed MySQL, PostgreSQL, SQL Server |  |
 |
🔗 📄 |
| How to build a scalable data anytics pipeline? | 5 steps to build a data analytics pipeline in GCP |  |
 |
🔗 📄 |
| BigQuery | Data warehouse/analytics |  |
 |
🔗 📄 |
| Cloud Composer | Managed workflow orchestration service |  |
 |
🔗 📄 |
| Cloud Dataflow | Stream/batch data processing |  |
 |
🔗 📄 |
| Cloud Dataproc | Managed Spark and Hadoop |  |
 |
🔗 📄 |
| Cloud Pub/Sub | Global real-time messaging |  |
 |
🔗 📄 🔗 |
| Contact Center AI | AI in your contact center |  |
 |
🔗 📄 |
| Cloud Armor | DDoS protection and WAF |  |
 |
🔗 📄 |
| Cloud CDN | Content delivery network |  |
 |
🔗 📄 |
| Cloud Load Balancing | Multi-region load distribution/balancing |  |
 |
🔗 📄 |
| Cloud Data Loss Prevention API | Classify and redact sensitive data |  |
 |
🔗 📄 |
| Cloud Build | Continuous integration/delivery platform |  |
 |
🔗 📄 |
| Operations | Monitoring, logging, troubleshooting |  |
 |
🔗 📄 |
| Redshift to BigQuery | Migrate Redshift to BigQuery |  |
🔗 | |
| Pub/Sub Lite vs Pub/Sub | Difference between Pub/Sub and Pub/Sub Lite |  |
🔗 | |
| Anthos | How Anthos makes it easy to deploy/manage hybrid and multicloud infrasturture and apps |  |
 |
🔗 📄 |
| Anthos Deployment Options | Hybrid and multicloud deployment options with Anthos |  |
 |
🔗 📄 |
| Decision Tree Hadoop to Dataproc | Decision tree to migrate Apache Hadoop workloads to Dataproc |  |
 |
🔗 📄 |
| Google Cloud VMware Engine | A Google Cloud VMware Engine cheatsheet |  |
 |
🔗 📄 |
| Bare Metal Solution | Curious about Google Cloud Bare Metal Solution? Start here |  |
 |
🔗 📄 |
| Persistent Disk | Block storage options in Google Cloud |  |
 |
🔗 📄 |
| Data Transfer Options | How to transfer data to Google Cloud? |  |
 |
🔗 📄 |
| Storage Options | A map of storage options in Google Cloud? |  |
 |
🔗 📄 |
| Cloud Bigtable | How BIG is Cloud Bigtable? |  |
 |
🔗 📄 |
| Cloud Spanner | What is Cloud Spanner? | |
 |
🔗 📄 |
Published under Creative Commons Attribution 4.0 International Public License
That means you are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.