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.
Target audience
- AWS solution architects who have started using Google Cloud Platform.
- AWS system operations administrators used to creating IaaS solutions.
- Architects and engineers working in multi-cloud environments.
Course: Google Cloud Platform Fundamentals for AWS Professionals
A one-day course with labs, aimed at AWS professionals who want to learn about the main features of Google Cloud Platform (GCP) within the four pillars of technology: networking, computing, storage and database. This course is ideal for AWS solution architects and system operations administrators familiar with AWS who want immediate hands-on experience in configuring GCP products.
Through presentations, demonstrations and hands-on labs, participants will quickly learn about the similarities, differences and initial tutorials between AWS and GCP.
Skills that participants will acquire:
- Identify the GCP equivalents for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM and more.
- Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, automatic scaling, load balancing, storage, databases, IAM and more.
- Manage and monitor applications.
- Explain the differences in features and prices between the AWS and GCP models.
- Find documentation and training.
Course prerequisites
To get the most out of this course, participants need to meet the following criteria:
- Basic proficiency in network technologies such as subnets and routing
- Experience with Amazon VPC, Amazon EC2 instances and disks
- Familiarity with Amazon S3 and AWS database technologies
1 day - 08 class hours - Live online or in person in São Paulo
Module 1: Introduction to Google Cloud Platform
- Google Cloud Infrastructure
- AWS regions, availability zones and CloudFront
- GCP regions, zones, caching near end users and Cloud CDN
- GCP services
Module 2: Setting up accounts and invoicing
- AWS accounts, billing and IAM roles
- GCP accounts, billing accounts, projects and administrator configuration
- Account configuration, billing, project and administration
- Lab: Setting up projects and billing accounts with a free trial GCP account
Module 3: Networking
- Amazon VPC, subnets, routes, NACLs and security groups
- GCP networks, subnets, routes and firewall rules
- VMs in networks
- Lab: Add VMs, explore the standard network and test connectivity
Module 4: Working with VM instances
- Amazon EC2 instance types, AMIs, Amazon EBS, temporary units, spot instances
- Google Compute Engine machine types, instances, permanent disks, local SSDs, preemptive VMs
- Deployment of VMs and web apps
- Lab: Deploy VMs with an application via console and command line
Module 5: Application scaling and load balancing
- Amazon EC2 launch configurations, auto-scaling groups, load balancing
- Google Compute Engine instance models, managed instance groups, load balancing
- Configuring automatic scaling and load balancing
- Lab: Scaling and load balancing instances and testing under load
Module 6: Isolating instances and applications
- Three-tier web app on GCP
- Personalized network with custom subnets and firewall rules
- Lab: Create a three-tier web app with public front-end and private back-end
Module 7: Using storage and databases as services
- Amazon S3, Amazon Glacier, Amazon RDS, Amazon DynamoDB, Amazon Redshift, Amazon Athena
- Google Cloud Storage, Google Cloud SQL, Cloud Spanner, Google Cloud Datastore, Google Cloud Bigtable, Google BigQuery
- Lab: Using the gsutil command line tool to perform operations on ranges and objects in Cloud Storage
- Lab: Loading and analyzing data in BigQuery
Module 8: Implementation and monitoring
- AWS CloudFormation, Amazon CloudWatch
- Google Cloud Deployment Manager, Google StackDriver
- Lab: Deploying your infrastructure with Deployment Manager