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1. Become a Quantexa deployment wizard! - launching Quantexa's Deployment Engineering Best Practices!
Want to know neat tricks for deploying Quantexa? Our architects have distilled their favourite deployment learnings into a brand new 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…
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2. Quantexa Deployment Patterns Best Practice
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 mid-tier RDBMS for storing user state in the mid-tier Along side these you will…
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3. Multi Use Case Best Practice
The Quantexa Platform is not a point solution; it has been developed on fundamental principles of flexibility and scalability, and supports multiple business applications or use cases in a single system. Many Quantexa deployments will originally serve a single use case, although some may be intended for broader use from…
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4. Multi Use Case Best Practice: People
This page describes Quantexa's people-related recommendations for multi use case deployments. Many of the practices described on this page will also benefit single use case deployments. These best practices are: Identify a single platform owner for the whole Quantexa service. Form a Design Authority to set the technical…
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5. Multi Use Case Best Practice: Processes
This page describes Quantexa's process-related recommendations for multi use case deployments. Many of the practices described on this page will also benefit single use case deployments. These best practices are: Ensure that each interface between components has a documented specification. Ensure that interfaces between…
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6. Multi Use Case Best Practice: Technology
This page describes Quantexa's technology-related recommendations for multi use case deployments. Many of the practices described on this page will also benefit single use case deployments. These best practices are: Share data in Elasticsearch, but have a separate analytics pipeline and UI per use case. Ensure you have…