In this video, learn how to create serverless internal applications.
- [Instructor] Next we're going to look … at serverless patterns on GCP. … There are a wide variety of choices around compute. … And at GCP Next last week, … Google announced several new services. … You'll see this diagram shows the general pattern, … that you have some sort of data layer on the bottom. … And we'll address that in the next section. … Here they're showing Cloud Datastore … or Cloud SQL or Cloud Storage. … What we're focusing on now in the world … of greenfield applications for enterprise cloud migration … is should you build serverlessly, … or should you build at the level of containers? … It's really a key question. … So, in this diagram, at the compute level, … we see App Engine, Container Engine, and Cloud Functions, … and then we see API management shown at the top. … And this is provided by Apigee in the GCP ecosystem. … Now let's look at a use case. … If you were to build a serverless application … that is serving up some data from a bucket, Cloud Storage … in this case, you really have two choices to start with. …
- 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.