WHAT OUR USERS WANT TO HEAR ABOUT MOST
REAL-WORLD USE CASES
Everything from design and architecture considerations to POCs, to production deployment and operational lessons learned, including...
* Practical Examples for Vertical Markets — Ad Tech, FinTech, Fraud Detection, Customer/User Data, eCommerce, Media/Multimedia, Social, B2B or B2C Apps, IoT, and more
* Migrations — How did you get from where you were in the past to where you are today? What were the limitations of other systems you needed to overcome? How did Scylla address those issues?
* Hard Numbers — clusters, nodes, CPUs, RAM and disk, data size, growth, IOPS, throughput, latencies, benchmark, and stress test results (think graphs, chart, and tables)
* War Stories — what were the hardest Big Data challenges you faced? How did you solve them? What lessons learned can you pass along?
TIPS AND TRICKS
From getting started to performance optimization to disaster management, tell us your devops secrets, or unleash your chaos monkey!
* Computer Languages and Dev Environments — What your favorite languages and tools? Are you a Pythonista? Doing something interesting in Golang or rust?
* Is This Open Source? — Got a Github repo to share? Our attendees would love to walk your code
* Integrations into Big Data Ecosystem — Share your stack! Kafka, Spark, other SQL and NoSQL systems; time series, graph, in-memory integrations (think “block diagrams”)
* Seastar — At the heart of Scylla, the Seastar infrastructure can be used for other projects as well. What sort of systems architecture challenges are you tackling with Seastar?