Company blogs
Engineering and data science write-ups straight from the teams at 30 companies. Each one summarised in a line or two and sorted by subject. New posts are added every morning.
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Databricks deployed a real‑time energy trading and analytics solution on its platform, addressing needs beyond raw speed for trading desks.
Stripe highlighted three Money20/20 2026 trends—stablecoins, AI agents, and always‑on money—that are making financial services operate behind the scenes.
Netflix open‑sourced DataJunction, a metric platform that consolidates scattered metrics, streamlines data workflows, and improves insight generation for experimentation.
Netflix described methods for measuring the value added by personalized recommendations, separating title appeal from personalization impact.
Netflix built a tiered storage system that moves older time‑series data from hot Kafka/Flink streams to native Cassandra cold reads, reducing storage costs while maintaining low‑latency access.
Netflix evolved its Ads Event pipeline into a centralized Ads Event Publisher that enriches ad telemetry and streams a unified feed to downstream consumers, improving consistency and handling encryption end‑to‑end.
AWS Architecture enabled the University of Technology Sydney to create a governed, reusable curriculum data services foundation on AWS, exposing data via APIs, graph traversal, semantic search and event delivery while keeping the source system authoritative.
Grab built an early‑stage concept that analyses aggregated GrabMart transaction data to spot unusual product demand as a signal for disease outbreak detection.
Pinterest built Metrics Board, an end‑to‑end platform that organizes a petabyte‑scale metrics ecosystem for reliable, agent‑ready metric serving.
Grab added residential property data to user profiles to create regional affluence segments that improve price‑sensitivity personalization.
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Shopify
AWS Architecture