Desarrollo en la nube

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来自 Google Cloud 的课程

Google Cloud Platform Fundamentals: Core Infrastructure en Español

6 个评分

Google Cloud

Google Cloud Platform Fundamentals: Core Infrastructure en Español

6 个评分

<<< ATTENTION >>> Learners interested in Google Cloud Platform can continue to learn in either of our latest GCP infrastructure specializations. Option 1: The Developing Applications with Google Cloud Platform Specialization is available on Coursera. This brand-new Specialization teaches you to build secure, scalable, and intelligent cloud-native applications. Visit https://www.coursera.org/specializations/developing-apps-gcp for more details. Option 2: The Architecting with Google Cloud Platform Specialization is also available. This Specialization has updated, improved content that will help you if you are preparing for the Google Certified Professional - Cloud Architect exam. Head to https://www.coursera.org/specializations/gcp-architecture to explore the updated content. Google Cloud Platform Fundamentals: Core Infrastructure covers the fundamentals of Google Cloud Platform and is the first course in both specializations. This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, and Google Container Engine. Notes: • You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google services are currently unavailable in China). • If you are a Google Cloud Platform customer with European Union (EU) and Russian billing addresses, read the VAT Overview documentation at: https://cloud.google.com/billing/docs/resources/vat-overview • More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

从本节课中

Desarrollo, implementación y supervisión en la nube

Las herramientas populares para el desarrollo, la implementación y la supervisión funcionan sin dificultades en GCP. Los clientes también tienen opciones de herramientas en cada una de estas tres áreas, que se integran perfectamente con GCP. En este módulo, se analizarán esas herramientas.

Desarrollo en la nube3:22

与讲师见面

Google Cloud Training

People create great applications in the Google Cloud.

Popular tools for development,

deployment and monitoring just work in GCP.

You also have options for tools that are

tightly-integrated with GCP and in this module, I'll explain them.

Let's start with talking about development.

Lots of GCP customers use Git to store and manage their source code trees.

That means, running their own Git instances or using a hosted Git provider.

Running your own is great because you have total control.

Using a hosted Git provider is great because it's less work.

What if there were a third way?

Maybe a way to keep code private to a GCP project and

use I am permissions to protected but not have to maintain the Git instance yourself.

That's what Cloud Source repositories is.

It provides Git version control to support

your team's development of any application or service,

including those that run on App Engine,

compute engine, and Kubernetes engine.

With Cloud Source repositories,

you can have any number of private Git repositories,

which allows you to organize the code associated with

your cloud project in whatever way works best for you.

Cloud Source repositories also contains a source viewer so that you

can browse and view repository files from within the GCP console.

Many applications contain event-driven parts.

For example, maybe you have an application that lets users upload images.

Whenever that happens, you need to process that image in various ways.

Convert it to a standard image format,

thumbnail into various sizes,

and store each in a repository.

You could always integrate this function into your application,

but then you have to worry about providing compute resources for

it no matter whether it happens once a day or once a millisecond.

What if you could just make that provisioning problem go away?

It would be great if you could write a single purpose function that did

the necessary image manipulations and then arrange

for it to automatically run whenever a new image gets uploaded.

That's exactly what cloud functions lets you do.

You don't have to worry about servers or runtime binaries.

You just write your code in JavaScript for a Node.js

environment that GCP provides and then configure when it should fire.

There's no need for you to pay for servers either.

You just pay whenever your functions run in 100 millisecond intervals.

Cloud functions can trigger on events in cloud storage,

Cloud Pub/Sub, or in HTTP call.

Here's how setting up a cloud function works.

You choose which events you care about.

For each event type, you tell cloud functions you're interested in it.

These declarations are called triggers.

Then you attach JavaScript functions to your triggers.

From now on, your functions will respond whenever the events happen.

Some applications, especially those that have

microservices architecture can be implemented entirely in cloud functions.

People also use cloud functions to enhance

existing applications without having to worry about scaling.

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