This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP. Note: •Google services are currently unavailable in China.
Demo: Getting Started with Kubernetes Engine
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Skills You'll Learn
Google Compute Engine, Google App Engine (GAE), Google Cloud Platform, Cloud Computing
Reviews
Jun 1, 2017
This course is useful for those who wants to explorer google cloud platform\n\ne.g: what database engine should I use?\n\nwhat is more cost efficient for our application, Compute engine or App engine
Feb 4, 2020
This course gives good non-in-depth overview of GCP. You'll learn about most of options and tools GCP offers. Also I really liked that all labs are automated and don't suffer from peer-review issues.
From the lesson
Containers in the Cloud
Containers are simple and interoperable, and they enable seamless, fine-grained scaling. Kubernetes is an orchestration layer for containers. Kubernetes Engine is Kubernetes as a service, a scalable managed offering that runs on Google’s infrastructure. You direct the creation of a cluster, and Kubernetes Engine schedules your containers into the cluster and manages them automatically, based on requirements you define. This module explains how Kubernetes Engine works and how it helps deploy applications in containers.
Taught By
Google Cloud Training
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