Showing posts from June, 2019

Customer Flexibility

Within Engineering@DataNexus, we work hard to build a data platform that works for all of our customers, regardless of size or complexity. One of our first internal engineering requirements is ubiquity, in that w hether our customers run on AWS, Azure, OpenStack, or bare metal, our platform looks, feels, and behaves the same . To that end, we are huge fans of process automation, whether it's creating VPCs and networks, spinning up or down virtual machines, or configuring our data platform layer. We heavily rely on Ansible to stand up and configure our application and data layer, consisting of elements such as Kafka, Cassandra, Postgres, Elasticsearch, or even operational tasks such as wiring data sources to data destinations. As most folks would expect, we organize each layer into one more or Git repositories. Our Kafka code is responsible for installing and configuring Apache Kafka, as well as both Confluent enterprise and community. That encompasses Apache projects such as Zook