January 13, 2021

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If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

repo name priyankavergadia/GCPSketchnote
repo link https://github.com/priyankavergadia/GCPSketchnote
size (curr.) 75165 kB
stars (curr.) 1409
created 2020-12-30
license Other


The Google Cloud Developer’s Visual Notes

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? @pvergadia. You can also check my blog - https://thecloudgirl.dev and my Youtube Channel

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.

All GCP Sketchnotes

:link:-Product Page :page_facing_up:-Documentation

Topic Description GCPSketchnote Video GCPSketchnote Image Other Links
Next 2020 Summary Announcements Summary NEXT2020 :link:
Compute Options Where should I run my stuff?
Cloud Run Serverless for containerized applications :link: :page_facing_up:
Cloud Functions Event-driven serverless functions :link: :page_facing_up:
Compute Engine VMs, GPUs, TPUs, Disks :link: :page_facing_up:
Kubernetes Engine (GKE) Managed Kubernetes/containers :link: :page_facing_up:
Migration Journey How to migrate to GCP :link:
Migration Use cases Different migration use cases :link:
Cloud Storage Multi-class multi-region object storage :link: :page_facing_up:
Cloud SQL Managed MySQL, PostgreSQL, SQL Server :link: :page_facing_up:
How to build a scalable data anytics pipeline? 5 steps to build a data analytics pipeline in GCP :link: :page_facing_up:
BigQuery Data warehouse/analytics :link: :page_facing_up:
Cloud Composer Managed workflow orchestration service :link: :page_facing_up:
Cloud Dataflow Stream/batch data processing :link: :page_facing_up:
Cloud Dataproc Managed Spark and Hadoop :link: :page_facing_up:
Cloud Pub/Sub Global real-time messaging :link: :page_facing_up: :link:
Contact Center AI AI in your contact center :link: :page_facing_up:
Cloud Armor DDoS protection and WAF :link: :page_facing_up:
Cloud CDN Content delivery network :link: :page_facing_up:
Cloud Load Balancing Multi-region load distribution/balancing :link: :page_facing_up:
Cloud Data Loss Prevention API Classify and redact sensitive data :link: :page_facing_up:
Cloud Build Continuous integration/delivery platform :link: :page_facing_up:
Operations Monitoring, logging, troubleshooting :link: :page_facing_up:
Redshift to BigQuery Migrate Redshift to BigQuery :link:
Pub/Sub Lite vs Pub/Sub Difference between Pub/Sub and Pub/Sub Lite :link:
Anthos How Anthos makes it easy to deploy/manage hybrid and multicloud infrasturture and apps :link: :page_facing_up:
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