Apache Cassandra at Uber and Netflix on new features in 4.0

Join us at the Uber SF office for a night of Apache Cassandra awesomeness.

We have two excellent talks lined up. First we'll be looking at some of the new features coming in 4.0 followed by experiences of running Cassandra at scale with Apache Mesos. This will be a night of real users talking about open source Cassandra at large, successful companies. Definitely not to be missed.

6pm: Doors open
6pm-7pm: Socialize around some food and drinks
7.00pm-7.15pm: Cassandra Compression and the ZStandard Algorithm in RocksDB
7.15pm-7.55pm: "A glimpse of Cassandra 4.0 features"
7.55pm-8.30pm: "Cassandra At Uber: Cassandra Operations and Lessons Learned"

Sushma Devendrappa: Instagram
Instagram's RocksDB storage engine now supports ZStandard (ZSTD) compression. This compression algorithm helps clusters with high disk usage providing disk savings ~25-30%. In this talk, we'll do a quick refresher of RocksDB Apache Cassandra storage engine status, cover compression algorithms supported by Cassandra, and discuss the technical implementation of ZSTD in the Rocksdb engine. We'll show disk space versus CPU Utilization, parameters to consider while moving to different compression algorithm and ZSTD Versus LZ4 and Disk Savings.

Vinay Chella: Cloud Data Architect at Netflix
A glimpse of Cassandra 4.0 features
There are a lot of exciting features coming in 4.0, but this talk covers some of the features that we at Netflix are particularly excited about and looking forward to. In this talk, we present an overview of just some of the many improvements shipping soon in 4.0.

Ankur Bansal and Jaydeepkumar Chovatia: Uber
Cassandra At Uber: Cassandra Operations and Lessons Learned
As Uber continues to scale, our internal systems generate lots of real-time data and require highly available, reliable storage. Since 2016, Cassandra has been a key piece of Uber Engineering’s multi-datacenter infrastructure. In this talk we will discuss our architecture, technical challenges, learnings, key use-cases and how a blend of open source infrastructure (Apache Cassandra and Mesos) and in-house technologies have helped Uber scale.