It’s all about data management this week on the podcast as Brian Dorsey and Mark Mirchandani talk to Google Cloud Product Marketing Manager, Amy Krishnamohan. Amy starts the show by explaining that Cloud SQL is a fully managed relational database service that recently added Microsoft SQL Server to its repertoire. We talk about SQL Server’s migration from 2008R2 to a newer version, the process involved, and how it’s effecting customers. Luckily, Cloud SQL for SQL Server is very backwards compatible, making the process easy for Google Cloud customers! Cloud SQL also offers other tools to make using Microsoft SQL Server easier with Google Cloud, including shortcuts to set up the high availability function.

Amy talks later in the show about what companies are a good fit for Microsoft SQL Servers on Google Cloud. She explains the steps to set up and tear down, how licensing works, and what the best use cases are for Microsoft SQL Servers on Google Cloud. In the future, Cloud SQL will have a managed AD service available.

A multi-cloud strategy is important, according to Amy. It is up to each company to research cloud services and pick the best vendors and products for themselves and their clients. Cloud SQL for SQL Server is a way to bring two great products together for the benefit of consumers.

Amy Krishnamohan

Amy Krishnamohan is Product Marketing Manager at Google Cloud responsible for databases. She has diverse experience across product marketing, marketing strategy and product management from leading enterprise software companies such as MariaDB, Teradata, SAP, Accenture, Cisco and Intuit. Amy received her Masters in Software Management from Carnegie Mellon University.

Cool things of the week

• Introducing Cloud AI Platform Pipelines blog
• Finding a problem at the bottom of the Google stack blog
• Larger local SSD storage available now blog
• Compute Engine gets machine images blog
• Google Cloud Next Update site

Interview

• Microsoft SQL Server site
• Google Cloud SQL site
• BigQuery site
• GCE site

Question of the week

Lift and shift, move and improve, or re-architect: How do we “move and improve”?

• GCP Podcast Episode 211: Digital Services with xMatters podcast
• Importing virtual disks docs
• Create machine image from virtual appliance file (OVA/OVF) docs
• Tutorial: Getting started with Migrate for Compute Engine docs
• Whitepaper: Velostrata technology for mass migrations into Google Cloud Platform whitepaper

Where can you find us next?

We’re working from home for a while!

Brian will be looking at getting a kind of weekly “reading group” of people who work with VMs and want to get better. Ping him on Twitter if you’re interested!

Mark will be working on more video content and a cool nickname for Brian!