Weekend Reading #60

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

This week: Weekly tech digest: pagination strategies for large datasets, Uber’s rebuilt Apache Pinot query architecture, and Meta’s ML-based notification ranking system for Instagram.

Pagination Strategies

👉 A must-read if your queries slow down as data grows.

Walk through all the common pagination styles, with clear explanations, example queries, trade-offs, edge cases, and guidance for both junior and senior devs.

Rebuilding Apache Pinot Query Architecture

👉 Great if you work with OLAP systems or real-time data pipelines.

Uber shares how they redesigned their query engine in Apache Pinot to handle real-time analytics at scale. The new design improves query speed, reliability, and flexibility for diverse workloads.

A New Ranking Framework for Better Notifications on Instagram

👉 Interesting read if you’re into applied machine learning and recommender systems.

Meta’s engineers introduce a new ML-driven framework that personalizes Instagram notifications. It balances relevance, timing, and user satisfaction using contextual models.