Business Design Centre, London
See for yourself why Redis Enterprise is the best performing real-time data platform for microservices and Kubernetes available anywhere.
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Meet our solution architects to learn about the latest innovations from Redis.
Learn how our customers are using Redis Enterprise to monetise their data, modernise their applications and maximise the productivity of their organisations.
Discover how you can take control of your data with Redis Enterprise.
Build and Deploy Real-time Globally distributed Cloud Apps with Redis
Presenter: Kamran Yousaf, Solution Architect at Redis.
Date and Time: Thursday, 11th May from 10:00 – 10:50.
The demand for real-time has skyrocketed alongside growth in microservices, digital platforms, online transactions, IoT, and machine learning applications.
It can be a challenge to meet the speed and scalability requirements of these workloads while simultaneously ensuring both simplicity for developers and operation teams, as well as seamless integration with the broader data layer and cloud strategy.
In this session, we will show and demonstrate that Redis is well suited to meet this challenge. Using an example architecture for a player engagement & gaming community platform, we will showcase rapid development and deployment going from code to cloud and highlight several best practices to achieve scalability and preserve simplicity along the way.
Tracking Aircraft with Redis & Software-Defined Radio
Presenter: Guy Royse, Developer Advocate at Redis.
Room: Exec Centre.
Time: Friday, 12th May from 11:20 – 12:10.
Aircraft are everywhere. Knowing exactly where is paramount as it’s considered bad form for two aircraft to be in the same place at the same time. To avoid this, aircraft worldwide constantly and publicly broadcast their location, heading, and all sorts of other data using a system called ADS-B or Automatic Dependent Surveillance Broadcast.
This data is a natural fit for a streaming architecture. After all, it’s a constant stream of data that is literally being broadcast in real-time. But how can we capture these broadcasts and the data within? Surely it must require expensive hardware and special tools! Not so much…
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