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The event you are looking at is a past event. Check out this upcoming event Architecting with Google Cloud Platform: Infrastructure, Madrid happening on Mon Mar 18 2019 at 09:00 am at Madrid, Spain

Architecting with Google Cloud Platform: Infrastructure, Madrid

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Architecting with Google Cloud Platform: Infrastructure, Madrid


Architecting with Google Cloud Platform: Infrastructure
(3 days)
 
This three-day instructor-led 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.
Objectives
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

Audience
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

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

Completed Google Cloud Platform Fundamentals 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


Course Outline
 
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



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