How It's Deployed

Truviso was designed for rapid implementation that complements existing systems, including databases, data integration engines, and business intelligence applications. Because our system can directly analyze live data, it can access data sources at any point in your infrastructure, while imposing minimal overhead on source systems.

Furthermore, the system can be deployed in either a centralized or distributed, hierarchical fashion, depending on your needs, so real-time data processing and analysis can be performed anywhere—from the device-level at the edge of your network to a clustered server farm in your data center.

Our implementation methodology is broken down into 5 easy steps:

  1. Project Definition - Creation of a detailed scope of work definition, led by our professional services organization in concert with your internal team.
  2. System Implementation - Our system is deployed on standard hardware, typically dual-CPU, running Linux, Windows, Solaris, and other operating systems.
  3. Data Integration - Pre-built connectors for common interfaces (ODBC, JDBC, SOAP, JMS, etc.) and formats (CSV, XML, etc.), as well as plug-ins to leading IDEs, ensure rapid integration.
  4. Query Definition - We will work with your team to define and deploy an initial set of queries for monitoring, alerting, and taking action on real-time data.
  5. End-User Roll-Out - Query results are plugged into pre-built, XML-based visualization templates for delivery in a configurable web-based dashboard or within existing web portals or application interfaces.

Truviso also offers a variety of options for hosted deployment.

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