Google Cloud Compute and Scalability for AWS Professionals
Skills:
Systems Design Basics80%
Key Takeaways
Compares Google Cloud Compute and AWS solutions for cloud architects and engineers
Original Description
This is the second course of a four-course series for cloud architects and engineers with existing AWS knowledge. It aims to compare Google Cloud and AWS solutions and guide professionals on their use.
This course focuses on compute resources and load balancing in Google Cloud. The learner will apply the knowledge of using virtual machines and load balancers in AWS to explore the similarities and differences with configuring and managing compute resources and load balancers in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Systems Design Basics
View skill →Related Reads
📰
📰
📰
📰
Is Multi-AZ Enough for Disaster Recovery? What DORA Actually Asks of Your Application
Dev.to · Alex
When fastembed silently rotted my worker: anchor your caches, don't trust /tmp
Dev.to · yogeshchavan2008
Turn redacted HarnessDelta findings into native CI review artifacts
Dev.to · Nekoautomata Miki
100 Days of DevOps and Cloud (AWS), Day 11: A WAR File Deploys Itself, and an ENI Is a Network Card You Can Move
Dev.to · Nnamdi Felix Ibe
🎓
Tutor Explanation
DeepCamp AI