Elastic Cloud Infrastructure: Scaling and Automation en EspaƱol

  • 4.9
Approx. 7 hours to complete

Course Summary

Learn how to effectively manage and scale infrastructure in Google Cloud Platform with automation techniques.

Key Learning Points

  • Automate the deployment of infrastructure using Terraform
  • Use Google Cloud Load Balancing to distribute traffic across instances
  • Implement autoscaling policies to automatically adjust resources based on demand

Related Topics for further study


Learning Outcomes

  • Deploy infrastructure using Terraform
  • Create load balancers and implement autoscaling policies
  • Monitor and manage infrastructure in Google Cloud Platform

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of Google Cloud Platform
  • Familiarity with command line interface

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-paced

Similar Courses

  • Google Cloud Platform Big Data and Machine Learning Fundamentals
  • Google Cloud Platform Fundamentals for AWS Professionals

Related Education Paths


Notable People in This Field

  • VP of Amazon Web Services
  • Google Cloud Consultant

Related Books

Description

En este curso acelerado a pedido, se brinda a los participantes una introducciĆ³n a los servicios de infraestructura y plataforma flexibles y completos que proporciona Google Cloud Platform. Mediante una serie de clases por video, demostraciones y labs prĆ”cticos, los participantes pueden explorar y, tambiĆ©n, implementar elementos de soluciones, incluidos componentes de infraestructura, como redes, sistemas y servicios de aplicaciones. AdemĆ”s, se tratan temas como la implementaciĆ³n de soluciones prĆ”cticas, la interconexiĆ³n segura de redes, el balanceo de cargas, el ajuste de escala automĆ”tico, la automatizaciĆ³n de infraestructura y los servicios administrados.

Outline

  • IntroducciĆ³n
  • IntroducciĆ³n al curso
  • Bienvenido a Elastic Cloud Infrastructure: Scaling and Automation
  • CĆ³mo descargar los recursos del curso
  • MĆ³dulo 1: InterconexiĆ³n de redes
  • DescripciĆ³n general del mĆ³dulo
  • Cloud VPN
  • IntroducciĆ³n al lab: Redes privadas virtuales (VPN)
  • CĆ³mo comenzar a usar Google Cloud Platform y Qwiklabs
  • Repaso del lab: Redes privadas virtuales (VPN)
  • Intercambio de trĆ”fico y Cloud Interconnect
  • Cloud Interconnect
  • Intercambio de trĆ”fico
  • CĆ³mo seleccionar una conexiĆ³n
  • Intercambio de trĆ”fico de VPC y VPC compartida
  • RevisiĆ³n del mĆ³dulo
  • Test del mĆ³dulo
  • MĆ³dulo 2: Balanceo de cargas y ajuste de escala automĆ”tico
  • DescripciĆ³n general del mĆ³dulo
  • Grupos de instancias administrados
  • Ajuste de escala automĆ”tico y verificaciones de estado
  • DescripciĆ³n general del balanceo de cargas HTTP(S)
  • Ejemplo: Balanceador de cargas HTTP
  • Balanceo de cargas HTTP(S)
  • IntroducciĆ³n al lab: CĆ³mo configurar un balanceador de cargas HTTP con ajuste de escala automĆ”tico
  • Repaso del lab: CĆ³mo configurar un balanceador de cargas HTTP con ajuste de escala automĆ”tico
  • Balanceo de cargas del proxy de SSL
  • Balanceo de cargas del proxy de TCP
  • Balanceo de cargas de red
  • Balanceo de cargas interno
  • IntroducciĆ³n al lab: CĆ³mo configurar un balanceador de cargas interno
  • Repaso del lab: CĆ³mo configurar un balanceador de cargas interno
  • CĆ³mo elegir un balanceador de cargas
  • RevisiĆ³n del mĆ³dulo
  • Test del mĆ³dulo
  • MĆ³dulo 3: AutomatizaciĆ³n de la infraestructura
  • DescripciĆ³n general del mĆ³dulo
  • Deployment Manager
  • IntroducciĆ³n al lab: CĆ³mo automatizar la infraestructura de redes con Deployment Manager o Terraform
  • Repaso del lab: CĆ³mo automatizar la infraestructura de redes con Deployment Manager
  • Repaso del lab: CĆ³mo automatizar la infraestructura de redes con Terraform
  • GCP Marketplace
  • DemostraciĆ³n: Lanzamiento en GCP Marketplace
  • RevisiĆ³n del mĆ³dulo
  • Test del mĆ³dulo
  • MĆ³dulo 4: Servicios administrados
  • DescripciĆ³n general del mĆ³dulo
  • BigQuery
  • Cloud Dataflow
  • Cloud Dataprep
  • Cloud Dataproc
  • DemostraciĆ³n: Cloud Dataproc
  • RevisiĆ³n del mĆ³dulo
  • RevisiĆ³n de la serie del curso
  • ĀæQuĆ© sigue? Obtenga una certificaciĆ³n
  • Test del mĆ³dulo

Summary of User Reviews

Key Aspect Users Liked About This Course

The course has a well-structured curriculum with practical examples that help learners gain hands-on experience.

Pros from User Reviews

  • The course content is up-to-date and relevant to the industry standards.
  • The instructor is knowledgeable and provides clear explanations.
  • The labs and assignments are challenging yet rewarding.
  • The course offers a comprehensive overview of GCP automation and scaling techniques.
  • The course is suitable for both beginners and experienced professionals.

Cons from User Reviews

  • The course may be too technical for some learners who are not familiar with GCP.
  • The course requires a significant time commitment.
  • The course may lack depth in certain topics.
  • The course does not provide much guidance on troubleshooting common issues.
  • The course may not be suitable for learners who prefer a lecture-based approach.
Spanish
Available now
Approx. 7 hours to complete
Google Cloud Training
Google Cloud
Coursera

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Google Cloud Training

  • 4.9 Raiting
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