OCTOBER 25, 2018

Boston Data @Scale 2018 – Lessons and Observations Scaling a Time-Series Database

TOPIC:  Data, Systems and Networking

@SCALE SERIES:  Data @Scale

TYPE: video

YEAR: 2018

TAGS: 

Ryan Betts, Director of Platform Engineering at InfluxData, discusses several lessons learned while scaling the company’s time-series platform across a large number of deployments – from single server open source instances to highly available high-throughput clusters.
SUBSCRIBE TO @SCALE

TOPICS
Data, Systems and Networking Dev Tools and Ops, Privacy, Sustainability and Performance Fighting Abuse and Security Machine Learning and AI Mobile, Video and Web
RECENT POSTS
Virtual Video Files at Scale: Seamlessly Processing Billions of Videos Per Day AV1: Improving RTC Video Quality at Scale Making Threads for Android
RELATED POSTS
Improving Reliability through Data-driven Engineering and Culture Changes: Learnings from Monetization Why is a Cultural Anthropologist on a Reliability Engineering Team? Building Resilient Monitoring at Meta

FINDING SOLUTIONS

We welcome your comments and questions about @Scale. Please contact us through our Facebook page!

TERMS OF USE PRIVACY POLICY COMMUNITY STANDARDS

2023 @SCALE. ALL RIGHTS RESERVED

JOIN THE @SCALE MAILING LIST AND GET THE LATEST NEWS & EVENT INFO

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy