Gossamer uses code developed at UW and additional open source components. Most components are distributed under the '3-clause BSD license', permitting free use, modification and redistribution. Automated modules include (1) HL7 message receipt, processing and storage, (2) compilation of line listing data from HL7 Minimum Biosurveillance Data Set (MBDS) and Meaningful use (under development) messages, (3) classification of cases into syndromes and compilation of syndrome data into indicators, (4) receipt, storage, aggregation and management of indicator data, and (5) analysis, visualization and reporting (AVR) of indicator data. Modules may be deployed locally or in the EC2 cloud and communicated using standard protocols to let deployment strategies be mixed across the system to support both sharing and shared use of components, as well as load balancing and optimization. This presentation will talk about the goals of the open source system and give underlying details of the technical implementation using virtual machines. As an example, we will discuss an application of the Gossamer system instance developed to let a state public health agency disseminate summarized laboratory test results for multiple (14) respiratory viruses (see Fig. 1 ).