Scylla is the real-time big data database. An open source drop-in replacement for Apache Cassandra, Scylla applies innovative systems programming techniques to a horizontally scalable NoSQL column-store design that results in extreme performance improvements: 1 million requests per second per node, with < 1msec P99 latency.
6:00 – 6:15 - Socialize over food and drinks
6:15 – 6:30 - Welcome, opening remarks and announcements
6:30 - 7:20 - Choosing the right nosql datastore: Our journey from Cassandra to Scylla - Aaron Stockton
7:30 - 8:20 - How to Ruin Performance by Choosing the Wrong Compaction Strategy for Cassandra and Scylla - Nadav Har'El
In this meetup :
Choosing the right NoSQL datastore: Our journey from Cassandra to Scylla - Aaron Stockton
You won’t believe how one Colorado team rebuilt their batch workflow with this weird streaming trick! Aaron will share the process of migrating from batch workflow to a streaming one, and how moving from Cassandra to Scylla enable this transition, simplify the process and reduce costs.
How to Ruin Performance by Choosing the Wrong Compaction Strategy for Cassandra and Scylla - Nadav Har'El
Scylla, Apache Cassandra, and many other modern databases are using Log Structured Merge (LSM) design for efficient writes that are immediately available for reads (for example Lucene search engine, 1999). When using LSM, one need to choose the right Compaction Strategy, but it's not always clear what is the best option for each workload. In his talk, Nadav will go over the trade-off of each strategy and present a novel strategy which will combine the benefits of two existing strategies.
Drink and food will be served, as well as limited number of Scylla swag (shirts and plush mascots :)
See you all there!
About the speakers
is a Principal Software Engineers on the Fulfillment team within Oracle Data Cloud, managing delivery to hundreds of partners for advertising. Having grown in scale for years with the business, some of the team’s legacy batch jobs were becoming a huge operational burden as a result of their increasing runtime, cost, and instability. They’ll talk through their use-case for a redesigned streaming system, challenges encountered while prototyping various data stores to meet its needs, and client-side changes that ultimately made the project a success.
Nadav Har’El has had a diverse 20-year career in computer programming and computer science. In the past he worked on scientific computing, networking software, and information retrieval, but in recent years his focus has been on virtualization and operating systems, and among other things he has worked on nested virtualization and exit-less I/O in KVM, and today he maintains the OSv kernel and also works on Seastar and ScyllaDB.
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