Elastic Cloud Infrastructure: Scaling and Automation en EspaƱol
- 4.9
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
IntermediateCourse 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
- Google Cloud Certified - Professional Cloud Architect
- Google Cloud Certified - Professional Cloud Developer
- Google Cloud Certified - Professional Data Engineer
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 trƔfico y Cloud Interconnect
- Cloud Interconnect
- Intercambio de trƔfico
- CĆ³mo seleccionar una conexiĆ³n
- Intercambio de trƔfico 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 automƔtico 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.