Compute on Google Cloud Platform

1

Introducci贸n al curso de Google Cloud for Developer Community

2

Lectura: introducci贸n de instalaci贸n

3

Tutorial de Qwiklabs

4

C贸mputo en la nube de Google

5

Opciones de c贸mputo en la nube

6

M谩quinas virtuales a profundidad

7

Tutorial para instalar Qwiklabs

8

Demo: m谩quinas virtuales a profundidad

9

C贸mputo sin administraci贸n con plataformas como servicio

10

Demo: c贸mputo sin administraci贸n

11

Lectura: 驴qu茅 son los contenedores?

12

C贸mputo contenerizado con App Engine Flex

13

C贸mputo contenerizado con Cloud Run

14

Funciones serverless

Continuous Integration, Continuous Delivery

15

CI/CD en Google Cloud Platform

16

Estrategias de Despliegue

17

Repositorios de c贸digo

18

Construcci贸n y despliegue de artefactos

19

Infraestructura como c贸digo

20

Despliegue en Servicios Serverless

Google Kubernetes Engine

21

Kubernetes Overview

22

Demo Kubernetes

23

Planeaci贸n de tu despliegue

24

Anthos

25

Cloud Run for Anthos

26

Demo Cloud Run for Anthos

27

Anthos Service Mesh

28

Site Reliability Engineering con Anthos

Streaming Data Analytics

29

Integraci贸n de datos e ingesta de datos totalmente administrada sobre GCP

30

Demo: ingesta de datos

31

Ingesta de datos confiable en streaming sobre GCP

32

Demo: ingesta de datos confiable

33

Demo: configuraci贸n de Apache Kafka

34

Visualizaci贸n de mensajes de una base de datos relacional en Google Cloud

35

Data Warehouse: el modelo tradicional para construir un repositorio de datos empresarial

36

Data Lakehouse: el nuevo y moderno enfoque para construir un repositorio de datos empresarial

37

El portafolio de gesti贸n de datos en Google Cloud

38

Desglose del portafolio de gesti贸n de datos (Bases de datos) en Google Cloud

39

Gobierno de datos de punta a punta para garantizar la seguridad en tu Data Lake

40

Gobierno de datos: calidad y monitoreo

Machine Learning

41

驴Qu茅 es ML y AI?

42

Plataforma de AI en GCP

43

Auto ML con datos estructurados

44

Demo Auto ML con datos estructurados

45

Predicci贸n de tarifas usando AI notebooks

46

Demo predicci贸n de tarifas usando AI notebooks

47

TensorFlow Extended

Sesiones en vivo

48

Sesi贸n en vivo con Pablo P茅rez Villanueva

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Resources

How to create a new project in Anthos?

To start using Anthos effectively, it is essential to create a new project from the Google Cloud platform. This step is crucial to be able to run our Anthos "sample". I will describe the process below:

  1. Project Creation: Log into your Google Cloud account and create a new project. It's as simple as giving it a name and confirming the creation.

  2. API Activation: Once the project is created, the next step is to activate the Anthos API. This is a necessary step to deploy the platform and take advantage of all the features that Google Cloud offers.

  3. Sample Deployment: Google Cloud provides a "sample" of Anthos that you can deploy with a simple click. You just need to choose the appropriate environment variables. Once deployed, you will be able to visualize your Google Kubernetes Engine cluster with all Anthos components.

What can we visualize in the deployed Anthos platform?

With Anthos deployed, the platform provides an interface rich in information about the cluster and its components. This is what we can observe:

  • Nodes and workloads: it allows you to identify each node and the associated workloads in the cluster.
  • Microservices applications: Google provides a sample application deployed in microservices, allowing you to visualize the services and associated namespaces.
  • Services and Endpoints: For example, you can view the ISTIO Ingress Gateway, as well as the available ingress services.

How does Anthos Service Mesh work?

Anthos Service Mesh is one of the key functionalities, in charge of managing communications between services. Its visualization as a topology offers significant benefits:

  • Latency between services: You can monitor the latency reported to the ISTIO pilot directly from the dashboard.
  • Service levels: allows you to set service levels by monitoring their compliance.
  • Communication encryption: Evaluates whether connections between services are encrypted, thanks to services such as Citadel that manage SSL certificates within the cluster.

How are encryption policies managed in ACM?

Anthos Config Manager (ACM) makes it easy to enforce policies such as encryption. Here's how to do it:

  1. Policy Modification: Use Cloud Shell to edit ACM configuration files, for example, the mesh policy file.

  2. Encryption Enforcement: To force the application to encrypt communication between services, change the configuration from permissive mode to one that requires mutual certification.

  3. Commit and Push Changes: Commit the changes and push them to your Git repository. This step will allow the security team to manage the repository while developers deploy services.

  4. Verify changes: Once propagated, verify that the padlocks in the interface turn green, indicating that the communication is encrypted.

Anthos is a powerful tool to facilitate the management and monitoring of deployed clusters and services. We invite you to continue exploring and experimenting with its options to ensure secure and efficient applications.

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pero la configuracion del istio se creo automaticamente o estamos viendo un proyecto ya implementado

que bueno, es como hacer testing pero de ya desplegado!, las herramientas para tener todo controlado.

Muy interesante el modulo

Muchas cosas por aprender, muy interesante el tema.

Excelente m贸dulo. Muy buena explicaci贸n

Gracias Daniel muy buen modulo.

Bastantes herramientas. Excelente.

Excelente. S茅 bastante poderoso.

Me falto fue pr谩ctica. Toco buscarla en qwiklabs