The Cloudcast - Cloud Computing

The Cloudcast #345 - Understanding Google Cloud Databases

May 02, 2018
The Cloudcast - Cloud Computing
The Cloudcast #345 - Understanding Google Cloud Databases
Chapters
The Cloudcast - Cloud Computing
The Cloudcast #345 - Understanding Google Cloud Databases
May 02, 2018
Aaron Delp & Brian Gracely
Brian talks with Dominic Preuss (Director Product Management @GoogleCloud) about the breadth of GCP's database portfolio, the adoption of GCP within the Enterprise, Big Data usage, and how the concept of "serverless" applies to database infrastructure.
Show Notes
Brian talks with Dominic Preuss (@deesix, Director Product Management @GoogleCloud) about the breadth of GCP's database portfolio, the adoption of GCP within the Enterprise, Big Data usage, and how the concept of "serverless" applies to database infrastructure.

Show Links:

Show Notes
  • Topic 1 - Welcome back to the show. Tell us about your background, as well as your area of focus at Google, because you’ve done some pretty interesting things in a bunch of different disciplines.
  • Topic 1a - What’s the general mood at Google Cloud Platform these days, and what’s some of the sentiment that you hear from customers?
  • Topic 1b - For anyone that hasn’t dug into GCP, give us an overview of the various types of database services that GCP offers today.
  • Topic 2 - Does GCP see more demand for DB-migrations or new DBs in the cloud? What are the top couple of usage models?
  • Topic 3 - How are you finding that DBAs adapt to working on DBs in the cloud, or are the consumers of the services now application developers because the DBs are managed?
  • Topic 4 - It seems like we hear more about “big data” use-cases with GCP than traditional SQL DB usage. What are some of the things that attract companies to GCP for NoSQL, Analytics, or global-scale DBs?
  • Topic 5 - We’re starting the hear the concept of “serverless” being used in the context of operations of the underlying infrastructure - different from a function for an application. Can you give us a sense of how you see this trend in the context of databases?
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