In this video, learn how to work with Cloud Functions and Cloud Run.
how the different cloud providers … are approaching serverless application hosting. … was really the category maker with their introduction … of AWS Lambda several years ago … But for web applications principally, … and then Google would containerize your application … Google announced last week another set of services, … that really bridges the layer between … purely managed containers, so Cloud Functions and App Engine … and raw Kubernetes, it's a really interesting set … of services called Cloud Run, … and there's different implementations of Cloud Run … Cloud Run Native really works at the next layer … and Google calls it serverless containers. … of that statement, some vendors will tell you … if you have the word containers it's not serverless. … then you're limited to what that vendor supports. … So it's a very interesting debate, … and what it's resulted in is service choices for us. … because it provides us with more opportunities … to pick which meets our needs best. … we can test the function, using a JSON format, …
- Enterprise concerns
- Enterprise scenarios
- Setting up your organization’s account
- Managing billing
- Enterprise compute services
- Enterprise storage and database services
- Enterprise data pipelines
- GCP developer and DevOps tools
Skill Level Intermediate
Working with cloud services1m 13s
1. GCP for the Enterprise
2. Enterprise Setup and Security
3. Enterprise Compute
4. Enterprise Storage and Database
5. Enterprise Data Pipelines
6. Dev and DevOps Tools
Next steps1m 20s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.