Architectures You've Always Wondered About

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

Session Architecture

Amazon DynamoDB: Evolution of a Hyper-Scale Cloud Database Service

Wednesday Nov 30 / 09:20AM PST

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.

Speaker image - Akshat Vig

Akshat Vig

Principal Engineer NoSQL databases @awscloud

Session Architecture

Honeycomb: How We Used Serverless to Speed Up Our Servers

Wednesday Nov 30 / 10:30AM PST

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.

Speaker image - Jessica Kerr

Jessica Kerr

Principal Developer Evangelist @honeycombio

Session Architecture

Azure Cosmos DB: Low Latency and High Availability at Planet Scale

Wednesday Nov 30 / 11:40AM PST

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.

Speaker image - Mei-Chin Tsai

Mei-Chin Tsai

Partner Director of Software Eng Manager @Microsoft

Speaker image - Vinod Sridharan

Vinod Sridharan

Principal Software Engineering Architect @Microsoft

Session Architecture

From Zero to A Hundred Billion: Building Scalable Real Time Event Processing At DoorDash

Wednesday Nov 30 / 12:50PM PST

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.

Speaker image - Allen Wang

Allen Wang

Software Engineer @DoorDash

Session Architecture

Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System

Wednesday Nov 30 / 02:00PM PST

Magic Pocket is used to store all of Dropbox’s data.

Speaker image - Facundo Agriel

Facundo Agriel

Software Engineer / Tech Lead @Dropbox, previously @Amazon

Track Host

Randy Shoup

Consulting CTO (formerly @eBay, @Google, @Stitch Fix)

Randy has spent more than two decades building distributed systems and high performing teams, and has worked as a senior technology leader at eBay, Google, and Stitch Fix. He coaches CTOs, advises companies, and generally makes a nuisance of himself wherever possible. He was most recently VP Engineering and Chief Architect at eBay.

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Track Host

Sid Anand

Chief Architect and Head of Engineering @ Datazoom

Sid Anand currently serves as the Chief Architect and Head of Engineering for Datazoom, where he and his team build autonomous streaming data systems for Datazoom's high-fidelity, low latency streaming analytics needs. Prior to joining Datazoom, Sid served as PayPal's Chief Data Engineer, focusing on ways to realize the value of PayPal's hundreds of petabytes of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. Sid earned his BS and MS degrees in CS from Cornell University, where he focused on Distributed Systems. Outside of work, Sid is a maintainer/committer on Apache Airflow and advises early-stage companies and several conferences (QCon, Data Council, and conferences under Skills Matter).

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