Next
This is a summary of all my notes for the Google Cloud Platform professional architect track
1. GCP Core Infrastructure Global infrastructure
VPC and Networking concepts
Cloud Load Balancing
Shared Responsibility Model
Pricing innovations
Interconnect Options
Comparing storage options
Cloud Storage
Cloud SQL
Cloud Datastore
Compute Engine
Kubernetes Engine
Anthos
Application Framework (PaaS) App Engine
Apigee & Cloud Endpoints
Cloud Functions
Deploying and Monitoring in the Cloud Deployment Manager
Stackdriver
Big Data and ML in GCP
Cloud Dataproc
Cloud Dataflow
Cloud Pub/Sub
Big Query
gcloud
gsutil
Snapshots
2. Essential Cloud Infrastructure Interacting with GCP
Cloud Shell
Automation on GCP
VPC Objects
IP Addresses
Cloud NAT and Private Google Access
Virtual Machines Overview
Virtual Machines
Virtual Machines Access and Lifecycle
Compute Options (vCPU and Memory)
Images
Disk Options
Compute Pricing and Special Configurations
Common Compute Engine Actions
Advanced Compute Engine Config and Server management
Storage and Database Services Overview
Cloud Storage
Cloud Filestore
Cloud Storage Features
Cloud Storage Access
Common Cloud Storage Operations
Cloud SQL
Cloud SQL Tips
Cloud Spanner
Cloud Firestore
Cloud Bigtable
Cloud Memorystore
Resource Management overview
Resource Manager
Analyzing Billing Data with BigQuery
Overview
Stackdriver Monitoring
Stackdriver Logging
Stackdriver Error Reporting
Stackdriver Trace
Stackdriver Debugger
3. Cloud Infrastructure: Scaling and Automation Load Balancing and Autoscaling Infrastructure Automation 4. Reliable Cloud Infrastructure: Design and Process Microservice Design and Architecture Choosing Storage Solutions Google Cloud and Hybrid Network Architectures Deploying Applications to GCP Designing Reliable Systems
Maintenance and Monitoring 
