which of these is a managed compute platform that lets you run stateless containers through web requests or pub/sub events?

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Introduction To Google Cloud Run

In this blog we will cover about Google Cloud Run which is a fully managed compute service, features, use-cases and steps top deploy a sample container.

Google Cloud Run: Fully Managed Compute Environment | Use-Case | Steps To Deploy

May 5, 2021 by Meenal Sarda Leave a Comment

Google Cloud Run is a fully managed compute environment to deploy and scale containerized applications.

In this blog, we will cover the below topics

Google Cloud Run Overview

Cloud Run Features Cloud Run Use-Cases

Step To Deploy A Sample Container To Cloud Run

Pricing

Frequently Asked Questions

So let’s get started!

Google Cloud Run Overview

Google Cloud Run is a fully managed compute platform that enables users to run stateless containers which can be invoked via Pub/Sub events or web requests. It is serverless which implies that it abstracts all the infrastructure management tasks so that users can focus on building great applications.

It is built from Knative that allows serving stateless containers in a serverless way and it’s natively portable.

Features Of Cloud Run

Any Language: Users can use any programming language to build their application.Fully managed: There is no infrastructure to manage so if you have deployed any application, then Cloud Run will manage all the services for you.Auto-scaling feature: It automatically scales up or down based on the traffic.Built on the Knative: Google Cloud Run is built on the open‐source project named Knative which enables the portability of workloads across the platforms.Custom Domains: Cloud Run Maps the services to the domains of the users.Developing Experience: It provides a simple command‐line and user interface which helps in the quick deployment and management of your service.Redundancy: Google Cloud Run services are regional and automatically replicated across multiple zones.Check Out: Cosmos DB vs Spanner, to know the major differences between them.

Use-Cases

Cloud Run is widely accepted in industries now. Some of the common use-cases are:

1.) Web Services: Back-office Administrations

Back‐office administration requires documents, spreadsheets, and running a vendor‐supplied web application. So hosting the containerized internal web application on Cloud Run implies that it is always ready to use and users are only billed when it is used.

2.) Data Processing

Users can build Cloud Run data processing applications that can help to transform lightweight data as it arrives and stores it as structured data. Transformations can be triggered from Google Cloud sources. So, when a .csv file is created, an event is fired which is delivered to the Google Cloud Run service. After the event is delivered the data is extracted, structured, and stored in a BigQuery table.

3.) Web Services: Website

Users can build their websites using a mature technology stack such as nginx, ExpressJS, and django, access their SQL database on Cloud SQL and render dynamic HTML pages.

Also Check: Our blog post on Associate Google Cloud Engineer. Click here

3.) Web Services: REST API backends

Modern mobile apps commonly rely on RESTful backend APIs to provide current views of application data and separation for frontend and backend development teams. API services that are running on Cloud Run allow developers to persist data reliably on managed databases. Logging in to Cloud Run grants users access to app‐resource data stored in Cloud Databases.

4.) Automation: Scheduled document generation

Monthly jobs can be scheduled with Cloud Scheduler for generating invoices using the Google Cloud Run service. As containers containing custom binaries can be deployed to Cloud Run, it is able to run in a PDF generation tool in a serverless way, so users only pay when they are generating invoices.

Read More: About Google Cloud Platform Services. Click here

Step To Deploy A Sample Container To Cloud Run

Now that we have understood the theory of Cloud Run, let’s look at a practical application for

To perform the steps you will require a Google Cloud Account. So make sure you create one if you are a new user or don’t have a Google Cloud Account.

Step 1: Navigate to Google Cloud Console and log in with your registered ID.Step 2: In the console, click the Navigation menu and click on Cloud Run.Step 3: Click on Create a Service.

Note: The Cloud Run will be automatically enabled when you click the Create a service option.

Step 4: In the create service form enter the following details and click on Next to continue to the

Configure the service’s first revision page.

Service Name: k21-cloudrun-serviceDeployment Platform: Cloud RunRegion: us-central1 (or region closest to your location)Step 5: In Configure the Service’s first revision page enter the following details and click on Next.

Select Deploy one revision from an existing container image

स्रोत : k21academy.com

Compute Options Detail

Video created by Google Cloud for the course "Getting Started with Google Kubernetes Engine". In this module you will learn about software containers and their benefits are for application deployment. You'll configure and build containers. You'll ...

Compute Options Detail

Getting Started with Google Kubernetes Engine

Google Cloud 4.5 (3,576 ratings) |

110K Students Enrolled

Course 2 of 6 in the Preparing for Google Cloud Certification: Cloud Developer Professional Certificate

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In this course, each module aims to build on your ability to interact with GKE, and includes hands-on labs for you to experience functionalities first-hand. In the first module, you'll be introduced to a range of Google Cloud services and features, with a view to helping you choose the right Google Cloud services to create your own cloud solution. You'll learn about creating a container using Cloud Build, and store a container in Container Registry. You'll also compare and contrast the features of Kubernetes and Google Kubernetes Engine, also referred to as GKE. In addition to conceptualizing the Kubernetes architecture, you'll deploy a Kubernetes cluster using GKE, deploy Pods to a GKE cluster, and view and manage Kubernetes objects.

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View Syllabus

Skills You'll Learn

Continuous Delivery, Kubernetes, Google Cloud Platform, Jenkins (Software)

Reviews

4.5 (3,576 ratings) 5 stars 65.21% 4 stars 26.28% 3 stars 5.59% 2 stars 1.28% 1 star 1.62% BR Apr 26, 2020

Very nice course that I finished in 5 hours straight! I liked the Spinnaker lab and the fact that it's the first time I have seen 78Gb memory cluster running on a 12vCPUs without having to pay.

SD Aug 10, 2020

It was so nice experience to learn Kubernetes. Resource and Lab works are very helpful to gain knowledge. I am looking forward to learn more about Kubernetes in advance level. Thank you!

From the lesson

Introduction to Containers and Kubernetes

In this module you will learn about software containers and their benefits are for application deployment. You'll configure and build containers. You'll also learn about the functions container that management solutions like Kubernetes provide. You'll encounter the advantages of Google Kubernetes Engine compared to building your own container-management infrastructure.

Compute Options Detail10:18

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Applications in the Cloud Flashcards

Study with Quizlet and memorize flashcards containing terms like App Engine is best suited to the development and hosting of which type of application?, Which statements are true about App Engine? (Select 2)., What are the advantages of using App Engine's flexible environment instead of its standard environment? (Select 3). and more.

Applications in the Cloud

Term 1 / 6

App Engine is best suited to the development and hosting of which type of application?

Click the card to flip 👆

Definition 1 / 6 A Web Application

Click the card to flip 👆

Created by lilliancerrato2

Terms in this set (6)

App Engine is best suited to the development and hosting of which type of application?

A Web Application

Which statements are true about App Engine? (Select 2).

-App Engine manages the hardware and networking infrastructure required to run your code.

-The daily billing for an App Engine application can drop to zero.

What are the advantages of using App Engine's flexible environment instead of its standard environment? (Select 3).

-You can use SSH to connect to the virtual machines on which your application runs.

-Your application can write to the local disk.

-You can install third-party binaries.

Which Google Cloud service should you choose to perform business analytics and billing on a customer-facing API?

Apigee Edge

Select the managed compute platform that lets you run stateless containers through web requests or Pub/Sub events.

Cloud Run

Cloud Run can only pull images from:

...

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