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Introduction Quantexa deployments require a simple set of underlying components: Distributed Spark cluster for Quantexa batch data processing Container platform to serve the Quantexa UI and microservices Elasticsearch for serving data to the application-tier RDBMS for storing user state in the application-tier Along side…
Introduction Quantexa makes extensive use of underlying platforms to enable it to operate at reliably at scale. When choosing these platforms the key principles were that they should be: Open source such that customers would be able to deploy them without incurring licence costs Widely adopted such that there is a large…
Want to know neat tricks for deploying Quantexa? Our architects have distilled their favorite deployment learnings into the best practice section on the documentation site which will help you deliver and run high quality Quantexa deployments. These learnings come from deploying Quantexa over many years at dozens of…