Desarrollo en la nube

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来自 Google Cloud 的课程

Google Cloud Platform Fundamentals: Core Infrastructure en Español

40 个评分

Google Cloud

Google Cloud Platform Fundamentals: Core Infrastructure en Español

40 个评分

Los participantes interesados en Google Cloud Platform pueden continuar su aprendizaje mediante cualquiera de nuestras especializaciones más recientes sobre la infraestructura de GCP. Opción 1: La especialización Developing Applications with Google Cloud Platform está disponible en Coursera. En sta nueva especialización, aprenderá a compilar aplicaciones nativas de la nube seguras, inteligentes y escalables. Para obtener más información, visite https://www.coursera.org/specializations/developing-apps-gcp. Opción 2: También está disponible la especialización Architecting with Google Cloud Platform, que incluye contenido mejorado y actualizado a fin de prepararse para realizar el examen Google Certified Professional - Cloud Architect. Si desea explorar el contenido actualizado, visite https://www.coursera.org/specializations/gcp-architecture. El curso Google Cloud Platform Fundamentals: Core Infrastructure abarca los aspectos principales de Google Cloud Platform y es el primero de ambas especializaciones. En él, se presentan conceptos y terminología importantes para trabajar con Google Cloud Platform (GCP). Podrá aprender sobre muchos de los servicios de procesamiento y almacenamiento disponibles en Google Cloud Platform, como Google App Engine, Google Compute Engine y Google Container Engine, además de compararlos. Notas: • Para poder registrarse en la prueba gratuita de Google Cloud Platform, deberá tener una cuenta de Google o Gmail, y una tarjeta de crédito o cuenta bancaria (por el momento, los servicios de Google no están disponibles en China). • Si es cliente de Google Cloud Platform y su dirección de facturación se ubica en la Unión Europea (UE) o Rusia, lea la documentación sobre la descripción general del IVA en https://cloud.google.com/billing/docs/resources/vat-overview. • Puede encontrar más preguntas frecuentes sobre la prueba gratuita de Google Cloud Platform en https://cloud.google.com/free/?hl=es.

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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