The NYC Cloud Foundry meetup invites you to “Location-Aware Applications with Redis”. We’ll look at how the geospatial indexing features of open source Redis supports geographical data queries from your application. Using a ‘bike sharing app’, we will parse publicly available data feeds provided by bike share systems around the world (CitiBike in New York City, Hubway in Boston) and load it into Redis. From there, we’ll build a query API to find nearby bikes using location, and update the availability data in real-time based on rentals in the system. Example code will be provided in Python, but it is very accessible to developers unfamiliar with the language.
As described on its website (https://redis.io), “Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker.” Its support of useful datatypes and highly optimized access methods make it popular for many layers in the stack. Redis has consistently been ranked as the top key-value datastore by DB Engines (https://db-engines.com/en/ranking/key-value+store ) and has been available on the IBM Cloud (Bluemix) and other Cloud Foundry-based Platforms-as-a-Service since 2014. It is a worthwhile NoSQL option to consider for your toolbelt.
This talk will cover datatypes and APIs for handling points, sets, set searches and intersections for geographic, time-series and live real-time data at speed.
6:30 pm Networking w/ Food & Drinks
7:00 pm Welcome
7:15 pm “Build Location Aware Web & Mobile Apps using Redis” by Tague Griffith (https://twitter.com/tague)
8:30 pm Q&A & Wrap-up
About the Speaker:
Tague Griffith is a self-professed database geek who runs the developer relations program for Redis Labs. At Redis Labs he focuses on supporting and growing the Redis developer community through community meetups, technical training, and various technical materials. Prior to joining Redis Labs, he led the internal infrastructure team at the photo sharing site Flickr building large scale distributed systems and infrastructure to support monitoring, caching and image serving.
Venue Sponsor: IBM Cloud Garage