GCP-APPRUN: Application Development with Cloud Run

Module 1: Introducing Application Development with Cloud Run

• This module gives a general overview of Cloud Run. If you’re new to Cloud Run (or even to Google Cloud), this will be a great introduction.
• A general understanding of Cloud Run
• Understand how how high availability, low end-user latency and developer productivity are important architectural drivers for web based applications today
• Understand the advantages of serverless on Google Cloud.

Module 2: Understanding Cloud Run

• You can use any language, any library and any binary. Cloud Run expects your app
  (in a container image) to listen on a port and respond to HTTP requests.
• Use a docker repository on Artifact Registry to store your images: Cloud Run only
  deploys from there.
• Cloud Run uses autoscaling to handle all incoming requests
• Pay for use pricing model
• No background tasks: Container lifetime is only guaranteed while handling requests
• There is no persistent storage: Store data downstream
• Cloud Run is portable (containers and Knative)
• Understand Container Images and Containers
• Understand how Cloud Run is different from an always-on server
• Implement the deployment of a container image to Cloud Run (hands-on lab)
• Understand auto-scaling and on-demand containers

Module 3: Building Container Images

• The contents of a container image (deep dive)
• There are two ways to build container images
• Buildpacks (hands-off)
• Docker (you’re in control)
• Cloud Run supports both source-based and a container image based workflow
• The most important considerations of building a secure container image
• Deeply understand what is inside a container image
• Package an application into a container image with Buildpacks (hands-on lab activity)
• Understand that Dockerfiles are a lower-level and more transparent alternative to
  Buildpacks

Module 4: Building Container Images

• Container lifecycle
• Cold starts
• Container readiness
• The service resource and what it describes
• Configuring memory limits and CPU allocation
• Deploying a new revision
• Traffic steering (tagging, gradual rollouts)
• Understand the advantages of the shutdown lifecycle hook
• Understand how to avoid request queuing
• Implement new versions of an application (hands-on lab activity)
• Implement gradual traffic migration (hands-on lab activity)

Module 5: Configuring Service Identity and Authorization

• Cloud IAM
• Cloud Run
• Understand that every action on a Cloud resource is actually an API call
• Understand how and why to limit the permissions in your Cloud Run service to only
  specific and necessary API calls
• Understand the process needed to make the default permissions of a Cloud API more secure
• Use the client libraries to call other Google Cloud services (hands-on lab activity)

Module 6: Serving Requests

• Use Cloud CDN to improve the reliability and performance of an application
• Use path-based routing to combine multiple applications on one domain
• Route incoming requests to the Cloud Run service closest to clients

Module 7: Using Inbound and Outbound Access Control

• Connecting your project to resources with a private IP
• Implementing controls to prevent outbound traffic to dangerous or unwanted hosts
• Implementing filters for inbound traffic using content-based rules
• Implementing controlled access to only specific service accounts

Module 8: Persisting Data

• Understand how to connect your application with Cloud SQL to store relational data
• Use a VPC Connector to reach a private Memorystore instance
• Understand how to connect with Cloud Storage, Spanner and Firestore

Module 9: Implementing Service-to-Service Communication

• Using Cloud Pub/Sub to send messages between services
• Discovering the URL of other Cloud Run services
• Receiving events from other Google Cloud services
• Processing background tasks asynchronously

Module 10: Orchestrating and Automating Serverless Workflows

• Understand the capabilities of Cloud Workflows
• Learn how to model a simple workflow with steps and conditional jumps
• Integrating Cloud Run with Cloud Workflows