The Cloudcast #345 - Understanding Google Cloud Databases

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: Google Cloud Databases and Storage Dominic’s Blog on GCP Blog Google Cloud Spanner (GCPPodcast) [PODCAST] @PodCTL - Containers | Kubernetes | OpenShift - RSS Feed, iTunes, Google Play, Stitcher, TuneIn and all your favorite podcast players [A CLOUD GURU] Get The Cloudcast Alexa Skill [A CLOUD GURU] A Cloud Guru Membership - Start your free trial. Unlimited access to the best cloud training and new series to keep you up-to-date on all things AWS. [A CLOUD GURU] FREE access to AWS Certification Exam Prep Guide - At A Cloud Guru, the #1 question received from students is "I want to pass the AWS cert exam, so where do I start?" This course is your answer. [FREE] eBook from O'Reilly 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? Feedback? Email: show at thecloudcast dot net Twitter: @thecloudcastnet and @ServerlessCast FEEDBACK? Email: show @ the enterprise ai show dot com Bluesky: @TheEntAIShow.bsky.social Twitter/X: @TheEntAIShow Instagram: @TheEntAIShow