Architecting with Google Cloud Platform: Infrastructure (AGCPI)

 

Course Overview

This three-day instructor-led training class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

A qui s'adresse cette formation

This class is intended for experienced developers who are responsible for managing big data transformations including:

  • Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform

Pré-requis

To get the most out of this course, participants should have:

  • Completed Google Cloud Fundamentals: Core Infrastructure (GCF-CI) or have equivalent experience
  • Basic proficiency with command-line tools and Linux operating system environments
  • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment

Objectifs

This course teaches participants the following skills:

  • Consider the entire range of Google Cloud Platform technologies in their plans
  • Learn methods to develop, implement, and deploy solutions
  • Distinguish between features of similar or related products and technologies
  • Recognize a wide variety of solution domains, use cases, and applications
  • Develop essential skills for managing and administering solutions
  • Develop knowledge of solution patterns—methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

Contenu

Module 1: Introduction to Google Cloud Platform
  • Role of the Cloud Architect
  • Learn about Solution Domains as an approach to design
  • Lab: Console and Cloudshell
  • Lab: Projects
  • Lab: Infrastructure Preview
Module 2: Virtual Networks
  • Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
  • Subnetworks for resource management instead of physical network topology
  • Lab: Virtual Networking
  • Lab: Bastion Host
Module 3: Virtual Machines
  • GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
  • Lab: Creating Virtual Machines
  • Lab: Working with Virtual Machines
Module 4: Cloud IAM
  • Members, roles, organizations, account administration, service accounts
  • Lab: Cloud IAM
Module 5: Data Storage Services
  • Cloud Storage, Datastore, Bigtable, Cloud SQL
  • Lab: Cloud Storage
  • Lab: Cloud SQL
  • Lab: Cloud Datastore
Module 6: Resource Management
  • Billing, Quotas, Labels, Names, Cloud Resource Manager
  • Lab: Billing Administration
  • Lab: Examining Billing Data and BigQuery
Module 7: Resource Monitoring
  • Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
  • Lab: Resource Monitoring (Stackdriver)
  • Lab: Error Reporting and Debugging (Stackdriver)
Module 8: Interconnecting Networks
  • VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
  • Lab: Virtual Private Networks (VPN)
  • Lab: Dynamic VPN with Cloud Routers
Module 9: Load Balancing
  • Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
  • Lab: VM Automation and Load Balancing
Module 10: Autoscaling
  • Autoscaler
  • Lab: Autoscaling
Module 11: Infrastructure Automation with Cloud API
  • Infrastructure automation, custom images, startup and shutdown scripts and metadata
  • Lab: Cloud API Infrastructure Automation
Module 12: Infrastructure Automation with Deployment Manager
  • Deployment Manager templates
  • Lab: Deployment Manager
Module 13: Managed Services
  • Dataproc, Dataflow, BigQuery, Datalab
Module 14: Application Development Infrastructure
  • Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions
Module 15: Application Development Services
  • Google App Engine (GAE), Dev Tools, Cloud Source Repos.
  • Lab: App Engine Development
Module 16: Containers
  • Containers, Google Container Engine (GKE), and Container Registry.
  • Lab: Kubernetes Load Balancing
Classroom training

Durée 3 jours

Prix (Hors Taxe)
  • France: 1 950,- €
 
pointer une ville pour s'enregistrer Agenda
France
02.12. - 04.12.2019 Paris
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