Training

Architecting with Google Compute Engine

Mode:

Online, In person

At Matza Education, each training course is designed to offer practical and relevant knowledge, connecting theory and application in real-life scenarios. Our aim is to prepare professionals for the challenges of the market, strengthening technical and strategic skills in different areas of technology and management.

By taking part in one of our programs, you will have access to up-to-date content, experienced instructors and a results-oriented methodology. Regardless of the format - face-to-face or online - we aim to create a dynamic, accessible and high-impact learning experience.

More than just a course, each training is an opportunity for professional and personal development, helping you to gain certifications, expand your skills and stand out in an increasingly competitive market.

Important: you must confirm the e-mail you received after registering to validate your participation.

  • Cloud solution architects, DevOps engineers
  • Individuals using Google Cloud Platform for new solutions or integrating existing systems, application environments and infrastructure, with a focus on Compute Engine
  • Configuring VPC networks and virtual machines
  • Administer identity and access management for resources
  • Implement data storage services in the GCP
  • Manage and examine the billing of GCP resources
  • Monitor resources using Stackdriver services
  • Connect your infrastructure to GCP
  • Configure load balancers and automatic scaling for VM instances
  • Automate the deployment of GCP infrastructure services
  • Leveraging managed services in GCP
  • Completion of Google Cloud Platform Fundamentals or equivalent experience
  • Basic proficiency with command line tools and Linux operating system environments
  • Experience in systems operations, including application deployment and management, on site or in a public cloud environment

2 days - 16 hours - Live online or in person in São Paulo

  • Module 1: Introduction to Google Cloud Platform

    • List the different ways of interacting with the GCP
    • Use the GCP console and Cloud Shell
    • Create cloud storage buckets
    • Use the GCP Marketplace to deploy solutions
  • Module 2: Virtual Networks

    • List VPC objects in the GCP
    • Differentiating the types of VPC networks
    • Implementing VPC networks and firewall rules
    • Designing a maintenance server
  • Module 3: Virtual Machines

    • Review CPU and memory options for virtual machines
    • Describe disk options for virtual machines
    • Explain VM prices and discounts
    • Use Compute Engine to create and customize VM instances
  • Module 4: Cloud IAM

    • Describe the Cloud IAM resource hierarchy
    • Explain the different types of IAM functions
    • Review the different types of IAM members
    • Implement access control for resources using Cloud IAM
  • Module 5: Storage and database services

    • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
    • Choose a data storage service based on your requirements
    • Implement data storage services
  • Module 6: Resource Management

    • Describe the cloud resource manager hierarchy
    • Recognize how quotas protect GCP clients
    • Use labels to organize resources
    • Explain the behavior of budget alerts in the PCM
    • Examine billing data with BigQuery
  • Module 7: Resource Monitoring

    • Describe the Stackdriver services for monitoring, logging, error reporting, tracing and debugging
    • Create graphs, alerts and resource uptime checks with Stackdriver Monitoring
    • Use the Stackdriver Debugger to identify and correct errors
  • Module 8: Interconnecting networks

    • Recall of the interconnection and peering services available to connect your infrastructure to the GCP
    • Determine which GCP interconnection or peering service to use in specific circumstances
    • Creating and configuring VPN gateways
    • Remember when to use shared VPC and when to use VPC network peering
  • Module 9: Load balancing and automatic scaling

    • Review the various load balancing services
    • Determine which GCP load balancer to use in specific circumstances
    • Describe the automatic dimensioning behavior
    • Configuring load balancers and automatic scaling
  • Module 10: Infrastructure automation

    • Automate the deployment of GCP services using Deployment Manager or Terraform
    • Describe the GCP market
  • Module 11: Managed services

    • Describe the managed services for data processing in the GCP