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來自 Google Cloud 的課程

Google Cloud Platform Fundamentals: Core Infrastructure em Português Brasileiro

7 個評分

Google Cloud

Google Cloud Platform Fundamentals: Core Infrastructure em Português Brasileiro

7 個評分

As pessoas interessadas no Google Cloud Platform podem fazer uma das nossas especializações de infraestrutura do GCP mais recentes para continuar aprendendo. Opção 1: a nova especialização "Developing Applications with Google Cloud Platform" está disponível no Coursera. Nela, você verá como criar aplicativos nativos da nuvem seguros, escalonáveis e inteligentes. Para ver mais detalhes, acesse o site https://www.coursera.org/specializations/developing-apps-gcp. Opção 2: a especialização "Architecting with Google Cloud Platform" também já está disponível. O conteúdo dessa especialização foi aprimorado para ajudar você a se preparar para o exame Google Certified Professional — Cloud Architect. Para ver o conteúdo atualizado, acesse o site https://www.coursera.org/specializations/gcp-architecture. No "Google Cloud Platform Fundamentals: Core Infrastructure", que é o primeiro curso em ambas as especializações, falaremos sobre os requisitos básicos do Google Cloud Platform. Esse curso é uma apresentação da terminologia e dos conceitos importantes para trabalhar com o Google Cloud Platform (GCP). Nele, você aprenderá sobre vários serviços de computação e armazenamento disponíveis no Google Cloud Platform, incluindo o Google App Engine, o Google Compute Engine e o Google Container Engine, além de conhecer as diferenças entre essas soluções. Observações: • Para se inscrever na avaliação gratuita do Google Cloud Platform, você precisará de uma Conta do Google/Gmail, além de um cartão de crédito ou uma conta bancária. Os serviços do Google estão temporariamente indisponíveis na China. • Se você for um cliente do Google Cloud Platform com endereços de faturamento na União Europeia (UE) ou na Rússia, leia a documentação "Visão geral do IVA" no site: https://cloud.google.com/billing/docs/resources/vat-overview. • Veja mais perguntas frequentes sobre a avaliação gratuita do Google Cloud Platform no site: https://cloud.google.com/free/?hl=pt-br.

從本節課中

Resumo e revisão

Neste módulo, revisamos os serviços do GCP abordados neste curso e lembramos os alunos sobre a diferença entre eles. Além disso, comparamos os serviços de computação e de armazenamento do GCP e os recursos importantes da rede VPC do Google.

與講師見面

Google Cloud Training

In this short module, I look back on what we covered in this course.

Remember the continuum that this course discussed at the very beginning.

The continuum between managed infrastructure and dynamic infrastructure.

GCP's compute services are arranged along this continuum,

and you can choose where you want to be on it.

Choose Compute Engine if you want to deploy your application

in virtual machines that run on Google's infrastructure.

Choose Kubernetes Engine if you want instead to deploy

your application in containers that run on Google's infrastructure.

In a Kubernetes cluster you're defining control.

Choose App Engine instead if you just want to focus on your code,

leaving most infrastructure and provisioning to Google.

App Engine flexible environment lets you use any run time you want,

and gives you full control of the environment in which your application runs.

App Engine standard environment lets you choose from a set of standard

run times and offers finer grain scaling and scaled Azira.

To completely relieve yourself from the chore of managing infrastructure,

build or extend your application using Cloud Functions.

You supply chunks of code for business logic,

and your code get spun up on demand in response to events.

GCP offers a variety of ways to load balance in bound traffic.

Use Global HTTPS load balancing to put

your Web application behind a single anycast IP to the entire Internet.

It load balances traffic among all your back-end instances in regions around the world.

And it's integrated with GCP's Content Delivery Network.

If your traffic isn't HTTP or HTTPS,

you can use the global TCP or SSL Proxy for traffic on many ports.

For other ports or for UDP traffic,

use the regional load balancer.

Finally, to load balance the internal tiers of multi-tier application,

use the internal load balancer.

GCP also offers a variety of ways for you to interconnect

your On-premises or other cloud networks with your Google VPC.

It's simple to set up a VPN and you can use cloud router to make it dynamic.

You can also peer with Google,

edits many worldwide points of presence either directly or through a carrier partner.

Or if you need a service level agreement and can adopt one of

their required network typologies, use Dedicated Interconnect.

Consider using Cloud datastore if you need to store structured objects,

or if you require support for transactions and SQL-like queries.

Consider using Cloud Bigtable if you need to store

a large amount a single key data, especially structured objects.

Consider using Cloud Storage if you need to store immutable binary objects.

Consider using Cloud SQL or Cloud Spanner if you need

full SQL support for an online transaction processing system.

Cloud SQL provides terabytes of capacity while

Cloud Spanner provides petabytes and horizontal scalability.

Consider BigQuery if you need interactive querying in

an online analytical processing system with petabytes of scale.

I'd like to zoom into one of those services we just discussed,

Cloud Storage and remind you of its four storage classes.

Multi-regional and regional are the classes for warm and hot data.

Use Multi-regional especially for content that's being served to a global Web audience.

And use Regional for working storage for compute operations.

Nearline and Coldline are the classes for,

as you'd guess cooler data.

Use Nearline for backups and for infrequently accessed content.

And use Codeline for archiving and disaster recovery.

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