Slides: https://www.slideshare.net/DataStax/terror-hysteria-cost-effective-scaling-of-time-series-data-with-cassandra-sam-bisbee-threat-stack-c-summit-2016 | Time series data has long been a natural use case for Cassandra with plenty of write ups showing you how to store mock data ""at scale"". Unfortunately warnings of wide rows and examples of storing numeric-only data aren't sufficient to guide your organization through the realities of running these workloads. Instead you find yourself implementing anti patterns like rotating clusters, only to be taken in by the siren song of DTCS, your hopes dashed across the rocks of ever expanding disk utilization. We will be taking the lessons learned at Threat Stack - a continuous security monitoring platform - about how to scale a large volume of bulky transactions totaling terabytes and petabytes on AWS, but while holding yourself to a sane budget and DBA-free operational life. Specifics to include ""break the glass"" operational maneuvers, making DTCS function properly, data modeling, and living in a polyglot data platform. About the Speaker Sam Bisbee CTO, Threat Stack As the CTO at Threat Stack, Sam is responsible for leading the Company's strategic technology roadmap for its continuous security monitoring service, purpose-built for cloud environments. Sam brings highly-relevant experience in distributed systems in public, private, and hybrid cloud environments, as well as proven success scaling SaaS startups. Sam was most recently the CXO at Cloudant (acquired by IBM in Feb. 2014), a leader in the Database-as-a-Service space.