Tagged articles

DAU

3 articles · Page 1 of 1

Aug 5, 2026 · Backend Development

From 8 GB to 24 MB: Scaling Real‑Time DAU to 200 M Users with Redis HyperLogLog

This article walks through the redesign of a high‑traffic, multi‑dimensional DAU counting system that grew from 8 GB of Redis Set memory to a 24 MB HyperLogLog‑based solution supporting 200 million daily active users, 40 k QPS, and flexible time‑window queries while keeping latency under 20 ms.

DAUHyperLogLogMemory Optimization

0 likes · 38 min read

From 8 GB to 24 MB: Scaling Real‑Time DAU to 200 M Users with Redis HyperLogLog

Ray's Galactic Tech

Jan 22, 2026 · Backend Development

How to Shrink 2 Billion DAU Stats from 8GB to 24MB with Redis Bitmap and Roaring

This article walks through why using a Redis Set for 200 million daily active users consumes 6‑8 GB of memory, how switching to a sharded Bitmap reduces usage to about 24 MB, and how Roaring Bitmap and ClickHouse further optimize sparse data and analytical workloads.

BitmapDAUMemory Optimization

0 likes · 8 min read

How to Shrink 2 Billion DAU Stats from 8GB to 24MB with Redis Bitmap and Roaring

Liulishuo Tech Team

Dec 2, 2016 · Product Management

Estimating Daily Active Users (DAU) Using New Users and Retention Modeling

This article explains how to estimate future daily active users (DAU) for an app by modeling the accumulation of new users and their retention decay, addressing challenges of changing historical retention rates and proposing a combined approach using recent averages and curve‑fitted functions to predict long‑term user activity.

DAUforecastingproduct analytics

0 likes · 9 min read

Estimating Daily Active Users (DAU) Using New Users and Retention Modeling

DAU

From 8 GB to 24 MB: Scaling Real‑Time DAU to 200 M Users with Redis HyperLogLog

How to Shrink 2 Billion DAU Stats from 8GB to 24MB with Redis Bitmap and Roaring

Estimating Daily Active Users (DAU) Using New Users and Retention Modeling

From 8 GB to 24 MB: Scaling Real‑Time DAU to 200 M Users with Redis HyperLogLog