By Matthew Tejo on
After updating to a new Redis version the Cache team saw a regression. This goes over the investigation and our conclusions.
By Joep Rottinghuis on
Recently, Twitter Engineering embarked on an effort to migrate elements of the Twitter stack to the cloud. This article is the first in a series describing that journey.
By Dean Hiller and Sean Smith on
Pattern to keep code clean and to the point for the success path
By Karthik Katooru on
A Manhattan cluster can contain one or more datasets. Manhattan provides a data model where each record contains a partition key (PKey) and a local key (LKey) mapping to a value.
By Philip Su on
See why Twitter decided to adopt Kafka as its PubSub system and the challenges we faced during adoption.
By Srikanth Viswanathan on
Learn about the infrastructure that enables developers at Twitter to manage application configurations, perform experiments, and release changes safely and efficiently.
By Michael Han on
Apache ZooKeeper is a system for distributed coordination. ZooKeeper is used at Twitter as the source of truth for storing critical metadata. I
By Kenneth Kufluk and Gregory Baker on
Silhouette, a new technique for discovering the identity of logged-in users to online platforms, was recently published. This is an account of the action we took to address this.
By @twittereng on
The blog details how Cortex is working toward developing models, related tooling, and infrastructure with the objective of making embeddings a first-class citizen within Twitter's ML platform
By Adam Crane on
Load Testing at Twitter Scale with Iago V2