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IT Training

Architecting with Google Compute Engine

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application 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.

Who should attend this course?
  • Cloud Solutions Architects, DevOps Engineers.
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine
Prerequisites
  • Completion of Google Cloud Platform Fundamentals or 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.

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.

Module 1: Introduction to Google Cloud Platform

  • Google Cloud Platform (GCP) Infrastructure
  • Using GCP

Module 2: Virtual Networks

  • Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
  • Subnetworks for resource management instead of physical network topology

Module 3: Virtual Machines

  • Compute Engine
  • Compute options (vCPU and Memory)
  • Images
  • Common Compute Engine actions

Module 4: Cloud IAM

  • Organizations, Roles, Members, Service accounts, Cloud IAM best practices

Module 5: Data Storage Services

  • Cloud Storage
  • Cloud SQL
  • Cloud Spanner, Cloud Datastore
  • Cloud Bigtable

Module 6: Resource Management

  • Cloud Resource Manager, Quotas, Labels, Names, Billing

Module 7: Resource Monitoring

  • Stackdriver, Monitoring
  • Logging, Error Reporting, Tracing, Debugging

Module 8: Interconnecting Networks

  • Cloud Virtual Private Network (VPN)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS

Module 9: Load Balancing

  • Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing

Module 10: Autoscaling

  • Autoscaling, Policies, Configuration

Module 11: Infrastructure Automation with Google Cloud Platform APIs

  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API

Module 12: Infrastructure Automation with Deployment Manager

  • Deployment Manager, Configuration, Cloud Launcher

Module 13: Managed Services

  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

Module 14: Application Infrastructure Services

  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

Module 15: Application Development Services

  • App Engine

Module 16: Containers

  • Containers, Kubernetes Engine, Container Registry
  • Kubernetes Engine, App Engine, or Containers on Compute Engine?

Practical information

Duration

3 Days

Languages

EN

Price

€1995,00 + 21% VAT

Location

Classroom Courses

Schedule

Guaranteed to run

English courses
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