This four-course fast-track series is designed for cloud architects and engineers with existing AWS knowledge, providing a comprehensive comparison of Google Cloud solutions with AWS. Through hands-on practice, learners will apply their existing cloud knowledge to explore the similarities and differences between the two platforms.
Throughout the series, professionals will delve into key concepts and technologies, including Google Cloud IAM, networking, compute, scalability, storage, containers, and monitoring, gaining a deep understanding of best practices for utilizing Google Cloud solutions.
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The four-course series guides AWS professionals through Google Cloud's IAM and networking, compute and scalability, storage and containers, and deployment and monitoring, offering hands-on practice and in-depth exploration.
Throughout this module, professionals will gain a comprehensive understanding of Google Cloud’s resource hierarchy and best practices, including organizations, folders, and projects. They will also explore the differences in service accounts between AWS and Google Cloud, equipping them with the knowledge to effectively manage resources.
Professionals will delve into creating and configuring Compute Engine instances, understanding the differences between Google Cloud images and AWS AMI, and utilizing managed instance groups. Additionally, they will compare and contrast Cloud Load Balancing with AWS Load Balancers, gaining practical experience in scalability and resource management.
This module focuses on creating and configuring Cloud SQL, Cloud Storage, and provisioning Kubernetes clusters using Google Kubernetes Engine. Professionals will compare Google Cloud's data lake and database options with AWS and explore the differences between Google Kubernetes Engine and Amazon Elastic Kubernetes Service.
Throughout this module, professionals will discover use cases for Cloud Source Repositories and Cloud Functions, and learn to create charts, alerts, and uptime checks for resources with Cloud Monitoring. They will also gain insights into the differences between Cloud Run and AWS Fargate, enabling them to deploy and monitor resources effectively.
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