Architecting with Google Compute Engine (AGCE)

Virtual Learning:1,450€ + IVA

Duração:

3 dias

Próxima Data:

25 a 27 Sep 2026

Local:

Online

Descrição

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.

*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.

Destinatários

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.

Área: Google Cloud
Certificação Associada: This course is part of Google Cloud Certified: ACE; PCA;

Inscrição

Programa:

Module 1: Introduction to Google Cloud Platform

Google Cloud Platform (GCP) Infrastructure Using GCP Lab: Console and Cloud Shell Demo: Projects Lab: Infrastructure Preview

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 Lab: Virtual Networking Lab: Bastion Host

Module 3: Virtual Machines

Compute Engine Lab: Creating Virtual Machines Compute options (vCPU and Memory) Images Common Compute Engine actions Lab: Working with Virtual Machines

Module 4: Cloud IAM

Organizations, Roles, Members, Service accounts, Cloud IAM best practices Lab: Cloud IAM

Module 5: Data Storage Services

Cloud Storage Lab: Cloud Storage Cloud SQL Lab: Cloud SQL Cloud Spanner, Cloud Datastore Lab: Cloud Datastore Cloud Bigtable

Module 6: Resource Management

Cloud Resource Manager, Quotas, Labels, Names, Billing Demo: Billing Administration Lab: Examining Billing Data with BigQuery

Module 7: Resource Monitoring

Stackdriver, Monitoring Lab: Resource Monitoring (Stackdriver) Logging, Error Reporting, Tracing, Debugging Lab: Error Reporting and Debugging (Stackdriver)

Module 8: Interconnecting Networks

Cloud Virtual Private Network (VPN) Lab: Virtual Private Networks (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 Lab: VM Automation and Load Balancing

Module 10: Autoscaling

Autoscaling, Policies, Configuration Lab: Autoscaling

Module 11: Infrastructure Automation with Google Cloud Platform APIs

Infrastructure automation, Images, Metadata, Scripts, Google Cloud API Lab: Google Cloud Platform API Infrastructure Automation

Module 12: Infrastructure Automation with Deployment Manager

Deployment Manager, Configuration, Cloud Launcher Lab: Deployment Manager

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 Lab: Kubernetes Load Balancing Kubernetes Engine, App Engine, or Containers on Compute Engine?

Pré-requisitos:

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

Inscrição