One of our goals at Threat Stack is sharing information that will help you learn about the current cloud security threat landscape in order to effectively and more easily manage your organization’s security issues — and confidently get on with running your business.
To this end, the Threat Stack blog is a terrific repository of articles that cover a range of security topics. If you’re not a regular reader, we encourage you to start exploring — and in the meantime, have a look at the ten most-read posts of 2016. Read more “According to Our Readers: Threat Stack’s Top 10 Blog Posts for 2016 (and More)”
At Threat Stack our engineering and operations teams have embraced the concept of the polyglot data platform, recognizing that no one solution can provide for all of our needs. Those needs include rapid scaling, ideally linearly, to support growing customer demand and the elastic workloads of our new economy customers. We also require different forms of analysis to support stream analysis for our IDS feature set, efficient lookup tables and prematerialized views for our ETDR feature set, and offline analysis for analysis and research.
A core component of our data platform for several years has been Cassandra, which we upgraded to Datastax Enterprise (DSE) through their start up program last year. Originally we were expecting to use it as our single source of truth for all of our time series data, but this turned out to be an anti pattern. Instead we have found it very useful for look up tables and pre-materialized views (more on this later).
Read more “Scale it to Billions — What They Don’t Tell you in the Cassandra README”