Application Development with Cloud Run

Name: Application Development with Cloud Run
Price: 11250.00 INR

Learn the practices, capabilities, and tools applicable to modern cloud-native application development using Google Cloud Run.

3 day course

Supporting material

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

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.

This course will allow you to get the most out of Google Cloud Run, a managed compute platform that lets you run containers directly on top of Google's scalable infrastructure.

You can deploy code written in any programming language on Cloud Run if you can build a container image from it. In fact, building container images is optional. If you're using Go, Node.js, Python, Java, .NET Core, or Ruby, you can use the source-based deployment option that builds the container for you, using the best practices for the language you're using.

This course is offered as a private training session. It can be delivered at a location of your choice or via Virtual Classroom.

Course overview

Who should attend:

This course is intended for the following participants:

Cloud developers, API developers, customers, and partners

Walk away with the ability to:

Understand Cloud Run, Google Cloud’s fully managed compute platform for deploying and scaling containerised applications quickly and securely
Write and migrate code your way using your favourite languages (Go, Python, Java, Ruby, Node.js, and more)
Secure service-to-service communication based on service identities and grant applications only the permissions they need
Learn how to build highly available applications with low end-user latency, globally
Learn how to connect to, and persist data in the managed database offerings on Google Cloud
Understand how abstracting away all infrastructure management creates a simple developer experience

Prerequisites

To get the most out of this course, participants should have:

Familiarity with Linux commands and command line interface
Basic understanding of Google Cloud
Basic understanding of Networking
Basic understanding of one or more programming languages like Go, Python, Java, Ruby or Node.js
Basic understanding of shell scripts, YAML, JSON, HTTP, and TLS

Course agenda

Module 1: Introducing Application Development with Cloud Run

Overview of Cloud Run

Module 2: Understanding Cloud Run

Language, library and binary considerations
Port and respond to HTTP requests
Using a Docker repository on Artifact Registry
Cloud Run autoscaling
Pay for use pricing model
Background tasks
Storing data downstream
Portable Cloud Run (containers and Knative)

Module 3: Building Container Images

The contents of a container image (deep dive)
Building container images - buildpacks (hands-off) and docker (you're in control)
Source-based and a container image-based workflow
Considerations of building a secure container image

Module 4: Diving Deeper into Cloud Run

Container lifestyle (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 version
Traffic steering (tagging, gradual rollouts)

Module 5: Configuring Service Identity and Authorisation

Cloud IAM
Cloud Run - default service account
Risks of using the default service account

Module 6: Serving Requests

Custom domains
Global load balancer (URL Map; frontend; backend services)
GLB and custom domain
Types of GLB backends
Multi-region load balancing
Multi-regional applications challenges
Cloud CDN

Module 7: Using Inbound and Outbound Access Control

Ingress settings
Cloud Armour
Using Cloud IAM to protect services
VPC, VPC access connector
Egress settings

Module 8: Persisting Data

Storing data externally when running a workload on Cloud Run
Connect with Cloud SQL from Cloud Run
Managing concurrency
Connecting with Memorystore
VPC connector
Cloud Storage, Firestore, and Cloud Spanner
Multi-region data storage

Module 9: Implementing Service-to-Service Communication

Understanding Cloud Pub / Sub
Schedule background tasks
Cloud Tasks, and Cloud Pub / Sub
Using Pub / Sub to pass messages
Integration with Google Cloud Services
Cloud Scheduler
CloudEvents
EventArc and Audit Logs

Module 10: Orchestrating and Automating Serverless Workflows

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 visualisation
Calling HTTPS endpoints
Calling an authenticated Cloud Run service
Example: polling API for completion

Book this course

Call our sales team today

91 (1800) 9190867