How do the internet-scale tech giants deliver exceptional user experiences while supporting millions of users and billions of operations?
In QCon's marquee Architectures track, you will learn what it takes to operate at a massive scale from some of the best-known names in our industry. You will take away architectural patterns and anti-patterns, challenges and hard-earned lessons, and some very exciting war stories.
From this track
Azure Cosmos DB: Low Latency and High Availability at Planet Scale
Azure Cosmos DB is a fully-managed, multi-tenant, distributed, shared-nothing, horizontally scalable database that provides planet-scale capabilities and multi-model APIs for Apache Cassandra, MongoDB, Gremlin, Tables, and the Core (SQL) APIs.
Partner Director of Software Eng Manager @Microsoft
Principal Software Engineering Architect @Microsoft
Honeycomb: How We Used Serverless to Speed Up Our Servers
Honeycomb is the state of the art in observability: customers send us lots of data and then compose complex, ad-hoc queries. Most are simple, some are not. Some are REALLY not; this load is both complex, spontaneous, and urgent.
Principal Developer Evangelist @honeycombio
From Zero to A Hundred Billion: Building Scalable Real Time Event Processing At DoorDash
At DoorDash, real time events are an important data source to gain insight into our business but building a system capable of handling billions of real time events is challenging.
Software Engineer @DoorDash
Magic Pocket: Dropbox’s Exabyte-Scale Block Storage System
Magic Pocket is used to store all of Dropbox’s data.
Software Engineer / Tech Lead @Dropbox
DynamoDB: Evolution of a Hyper-Scale Cloud Database Service
Amazon DynamoDB is a cloud database service that provides consistent performance at any scale. Hundreds of thousands of customers rely on DynamoDB for its fundamental properties: consistent performance, availability, durability, and a fully managed serverless experience.
Principal Engineer NoSQL databases @awscloud
QCon Plus 2022
Nov 29 - Dec 9, 2022