Cloud Computing artwork

Etsy's Big Data Cloud Migration

Cloud Computing

August 14, 2019 14:00 - 32 minutes - 22.3 MB - ★★★★ - 79 ratings
Technology News Tech News Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed


SHOW: 410

DESCRIPTION: Aaron and Brian talk with Kevin McHale (Senior Staff Engineer at Etsy) about the migration of their Big Data / Data Science platform from on-premises to Google Cloud, the business drivers for the migration, and the lessons the team has learned throughout the multi-year process.

SHOW SPONSOR LINKS:

Digital Ocean HomepageGet Started Now and Get a free $50 Credit on Digital OceanDatadog Homepage - Modern Monitoring and AnalyticsTry Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt[FREE] Try an IT Pro ChallengeGet 20% off VelocityConf passes using discount code CLOUD

CLOUD NEWS OF THE WEEK:

GitHub Actions now includes CI/CD

SHOW INTERVIEW LINKS:

Etsy HomepageEtsy’s Engineering Blog (“Code as Craft”)Migrating Etsy to Google Cloud

SHOW NOTES:

Topic 1 - Welcome to the show. Before we dive into your work at Etsy, tell us a little bit about your background prior to Etsy - you’re pretty good at math. 

Topic 2 -  You’ve been working on two very interesting projects at Etsy - both building/evolving the data platform, and helping to manage the migration to Google Cloud Platform (GCP). Let’s start by talking about the Etsy data platform.

Topic 3 - What have been some of the business drivers that are pushing the data platform to collect more information, to become more cloud-native, and to better enable data pipelines? 

Topic 4 - At some point in 2017-18, Etsy decided to migrate some of the platforms to Google Cloud. Tell us about that decision-process, and how the migration has been going. What have been some of the lessons learned? 

Topic 5 -  How does working with Google Cloud (or just being in the public cloud) help accelerate the work that you’re doing on evolving the Etsy data platform? 

FEEDBACK?

Email: show at thecloudcast dot netTwitter: @thecloudcastnet and @ServerlessCast

Twitter Mentions