Presentation: Scaling Counting Infrastructure @Quora


10:35am - 11:25am



Hundreds of millions of people use Quora to find accurate, informative, and trustworthy answers to their questions. All our infrastructure is built on top of AWS.

In this talk, we will be talking about Quanta, Quora's counting system powering our high-volume near-realtime analytics that serves many applications like ads, content views, and many dashboards.

Quanta counters support/are:

  • High write throughput
  • Low read latencies
  • Near-realtime updates (i.e writes lag behind read by a couple of minutes)
  • Arbitrary time buckets (e.g last day, last week, every week, all time...)
  • Dynamic hierarchical aggregation (i.e we can specify a graph and counts are propagated along the graph edges)
  • Extremely elastic and horizontally scalable
  • Highly available

In this talk, we will describe the high level architecture of Quanta. We will also share our design goals, constraints and choices that enabled us to build Quanta very quickly on top of our existing infrastructure systems in cloud.

Speaker: Chun-Ho Hung

Software Engineer @Quora

Find Chun-Ho Hung at

Speaker: Nikhil Garg

Engineering Manager @Quora

Nikhil Garg is an engineering manager at Quora where he is leading a team of great engineers working on various machine learning and infrastructure problems. He is very interested in distributed systems, machine learning, and product design.

Find Nikhil Garg at

Similar Talks

Senior Software Engineer @Apple
Software Engineer @Dropbox
Leads TensorFlow / Principal Engineer @Google
Chief Architect @Slack, previously @Facebook



Monday Nov 7

Tuesday Nov 8

Wednesday Nov 9

Conference for Professional Software Developers