Administration - StreamAnalytix

Multi-tenancy and Resource Management

Create independent workspaces based on a set of use cases, group of users, or various business units in the organization. This enables you to logically separate the same underlying shared infrastructure and optionally assign resources to independently tackle data, execution and analytics.

Deployment

StreamAnalytix supports both on-premise and cloud-based deployments. StreamAnalytix sits on the edge and can be up and running in minutes, without worrying about integrating with complex underlying infrastructure. The application also supports HA and a multi-node installation can run behind a load balancer using a sticky session.

On-premise Deployment

  • StreamAnalytix Web Server can be deployed on one or more servers. The Web Server requires Apache Tomcat, RDBMS store (MySQL/Postgres) and RabbitMQ, each of them capable of running in stand-alone or cluster mode for HA
  • StreamAnalytix can communicate with the Hadoop ecosystem components via Kerberos (optional but recommended)
  • StreamAnalytix can execute Spark Streaming jobs on a stand-alone Spark cluster or Spark running via YARN
  • StreamAnalytix leverages Zookeeper to manage its configuration. The Zookeeper ensemble could be the same as that of the Hadoop ecosystem, or a separate one. Connection with Zookeeper can be kerborised.

Cloud Deployment

  • StreamAnalytix Web Server can be deployed in one of compute node of AWS instance. The Web Server requires Apache2, Apache Tomcat, MySQL store, Graphite and RabbitMQ, Load balanced using software based load balancing. For HA, each of them can be run in stand-alone or cluster mode for HA
  • StreamAnalytix can communicate with the AWS EMR Hadoop ecosystem components via Kerberos (optional but recommended)
  • StreamAnalytix can execute spark streaming jobs on a EMR running spark via YARN
  • StreamAnalytix leverages Zookeeper to manage its configuration. The zookeeper ensemble could be same as that of the Hadoop ecosystem or a separate one. Connection with zookeeper can be kerborised.

Security

Built with enterprise grade security features, including; multiple user roles, with role-based access based on DB backed security model, and integration with LDAP. It also supports Kerberos to connect to various underlying big data technologies to connect, process and store data.

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