Loading Classes

« All Classes

  • This class has passed.
Jan 1

Application development with Cloud Run

January 1 @ 8:00 AM - 5:00 PM AEST

Google Cloud logo

Application Development with Cloud Run

This instructor led live training introduces you to fundamentals, practices, capabilities and tools applicable to modern cloud-native application development using Google Cloud Run. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, implement, deploy, secure, manage, and scale applications on Google Cloud using Cloud Run.

What you Will learn

What's Included?

Instructor Live Training

An instructor will answer your questions

OFFICIAL GOOGLE CLOUD CONTENT

Course content reflects the latest google cloud class

hands on labs

Real world hands on labs provided by Qwiklabs and supported by instructor

CertIficate of completion

Receive official certificate on completion of 80% of labs

Who's this course for?

Level

Language

Duration

Prerequisites

products

Not covered

Course Content

Topics

  • 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.

Objectives

  • 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.

Topics

  • 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)

Objectives

  • 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

Activities

  • 1 Lab

Topics

  • 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

Objectives

  • 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

Activities

  • 1 lab

Topics

  • Container lifecycle
    • Idle vs serving
    • Shutdown lifecycle hook
  • Cold starts
    • Min instances
  • Container readiness
  • The service resource and what it describes
  • Configuring memory limits and CPU allocation
  • Deploying a new revision
  • Traffic steering (tagging, gradual rollouts)

Objectives

  • 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)

Activities

  • 1 lab

Topics

  • Cloud IAM
    • Service account, policy binding, roles, types of members, resource hierarchy
      (in practice)
    • Service accounts
    • Cloud Run IAM roles
  • Cloud Run
    • Default service account
    • Risks of using the default service account

Objectives

  • 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)

Activities

  • 1 lab

Topics

  • Custom Domains
  • Global Load Balancer
    • URL Map
    • Frontend
    • Backend services
  • Benefits and drawbacks of GLB over custom domain
  • Types of GLB Backends
  • Multi-region load balancing
  • Multi-regional applications challenges
  • Cloud CDN

Objectives

  • 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

Activities

  • 1 lab

Topics

  • Ingress settings
  • Cloud Armor
  • Using Cloud IAM to protect services
    • Understand how authenticated requests (IAM + OIDC tokens) work (builds on
      Module 5)
  • VPC, VPC Access Connector
  • Egress settings

Objectives

  • 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

Activitise

  • 1 lab

Topics

  • Understanding why you need to store data externally when running a workload on
    Cloud Run.
  • Connect with Cloud SQL from Cloud Run
    • Understand how it works (managed Cloud SQL Proxy)
  • Managing concurrency as a way to safeguard performance (understand why and when)
  • Connecting with Memorystore
  • VPC Connector
    • Challenges with scaling Memorystore (throughput)
  • Briefly introduce Cloud Storage, Firestore and Cloud Spanner, while reinforcing how the client libraries use the built-in service account to connect (Module 5 is
    prerequisite knowledge).
  • Multi-region data storage (and what Spanner and Firestore can do for you)

Objectives

  • 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

Activities

  • 1 lab

Topics

  • Understanding Cloud Pub/Sub
    • Understanding topics, push subscriptions
    • Idempotency (Handling retries and at-least-once invocation)
    • Event ID, design for resume, or use a lease
    • Handling undeliverable messages
  • How to asynchronously schedule a background task on a different service
  • Cloud Tasks, and when to choose it over Cloud Pub/Sub
  • Benefits of using Pub/Sub to pass messages over making sync RPC requests
  • Learn about services in Google Cloud with a built-in integration to push events to Pub/Sub (Cloud Build, Artifact Registry, Cloud Storage, IOT Core, BigQuery)
  • Cloud Scheduler to invoke services on a schedule.
  • CloudEvents
  • EventArc, and how to consume Audit logs
    • What to expect now, and how EventArc will develop over time

Objectives

  • 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

Activities

  • 1 lab

Topics

  • Conceptual overview of Cloud Workflows
  • Invoking and passing parameters
  • Understand steps and jumps
  • Defining, using and passing values with variables
  • Using the switch statement to add logic
  • Workflow visualization
  • Calling HTTPS endpoints
  • Calling an authenticated Cloud Run service
  • Example: polling API for completion

Objectives

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

sign up to be notified for upcoming classes

Have Questions?

No worries. Send us a quick message and we’ll be happy to answer any questions you have.

Ref: T-APPRUN-B-01

Details

Date:
January 1
Time:
8:00 AM - 5:00 PM AEST
Class Tags:

Location

Online

Instructor

Axalon Academy
Email:
training@axalon.io
View Instructor Website

Other

Competencies
Beginner
Learning Path
Cloud Developer