Course Overview
This course teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately. This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.
Course Objectives
Identify Google Cloud counterparts 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
Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
Manage and monitor applications
Explain feature and pricing model differences
Who Should Attend?
Individuals planning to deploy applications and create application environments on Google Cloud
Developers, systems operations professionals, and solution architects getting started with Google Cloud.
Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
- Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
- Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
- Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
- Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
- Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
- Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.
Agenda
1 - Introducing Google Cloud
- What is cloud computing?
- Google Cloud Computing architectures
- The Google network
- Google Cloud Regions and Zones
- Google Cloud versus AWS regions and zones
- Open API's
- Multi-layered security approach
- Budgets and Billing
2 - Getting Started with Google Cloud
- Google Cloud resource hierarchy
- Comparison to AWS resource hierarchy
- Identity and Access Management (IAM)
- IAM Roles
- Comparison to Azure AD
- Interacting with Google Cloud
- Cloud Marketplace
3 - Virtual Machines in the Cloud
- Virtual Private Cloud (VPC) Network
- How AWS VPC differs from Google VPC
- Compute Engine
- Comparing Amazon EC2 and Google Compute Engine
- Important VPC Capabilities
- How typical approaches to load-balancing in Google Cloud differ from those in AWS
4 - Storage in the Cloud
- Cloud Storage
- Cloud Storage Interactions
- Comparing Amazon S3 and Amazon Glacier with Google Cloud Storage
- Cloud Bigtable
- Cloud SQL and Cloud Spanner
- Cloud Datastore
- Comparing Amazon RDS with Google Cloud’s managed database services
- Comparing Storage Options
5 - Containers in the Cloud
- Containers in the Cloud
- Kubernetes and Kubernetes Engine
- Hybrid and Multi-Cloud
- How Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE
6 - Applications in the Cloud
- App Engine Standard Environment
- App Engine Flexible Environment
- Comparison to Azure App Service
- Cloud Endpoints and Apigee Edge
7 - Developing, Deploying and Monitoring in the Cloud
- Development in the cloud
- Deployment: Infrastructure as code
- How Cloud Deployment Manager differs from AWS CloudFormation
- Monitoring: Proactive instrumentation
- How Cloud Operations differs from Amazon CloudWatch and AWS CloudTrail
8 - Big Data and Machine Learning in the Cloud
- Google Cloud Big Data Platform
- Dataflow
- BigQuery
- How BigQuery differs from Amazon Redshift
- Pub/sub and Datalab
- How Cloud Pub/Sub differs from Amazon SQS
- Google Cloud Machine Learning Platform
- ML APIs
- How GCP’s machine-learning APIs differ from AWS’s
9 - Summary and Review
- Course Review
- The Process of migrating from AWS to Google Cloud
- Next Steps