Technical Architecture o The applicant shall provide specific details regarding its current systems and how it expects the Exchange environment to differ from the As-Is environment. Identify all current/legacy software Identify all current/legacy hardware Identify all target system software Identify all target system hardware Provide a mapping of the ―as is‖ environment with proposed ―to be‖ solution option(s) so that you demonstrate that the proposed solution(s) meets the Exchange IT system requirements o For those applicants that are participating in the ―Cooperative Agreement to Support Innovative Exchange IT Systems,‖ provide details regarding their progress from the Readiness Review Assessment that was completed as part of their application and validate previously identified target system software and hardware.
Technical Architecture. To notify each other on technical architecture matters including expansion plans related to Media Rich Services provided under this Agreement.
Technical Architecture. The technical architecture maps how the functional architecture will be realized with IT components. The technology of the components, the infrastructure needs, and the reusable components, architecture, and standards are mapped; data interchange standards are applied to the functional architecture models. The integration components and tools are defined to streamline the integration. Workgroups will be created to work with the business stakeholders and IT system owners and the enterprise standards owners to develop the technical architecture. New technical and implementation standards will also be created as needed.
Technical Architecture. The Django web framework handles all aspects of the user interface and back-end functionality. It is connected to a PostGRES database which stores the content. Nginx is used as the web server to host the application. Applications which support the uploading of user generated content are ImageMagick and LibreOffice. Automated language translations are made via the Microsoft Azure AI
Technical Architecture. HashiCorp Vault. To add an extra layer of protection, the keys are encrypted using the user’s password. This means that even if the database is compromised, the user’s keys remain safe and inaccessible to unauthorized parties.When a user needs to fetch their private key, they are prompted to enter their password. At the same time, the back-end server sends the corresponding reference ID associated with the user. Using this reference ID, the encrypted private key string is retrieved from the vault. In real time, the private key is decrypted using the user’s password and made available for use. One of the primary reasons for creating an independent transaction signer is the inherent risk of users losing their keys and passwords. If a private key is lost, establishing ownership of the associated asset becomes impossible. To mitigate this risk, we implemented a system that links a user’s assets to their user ID, which, in turn, is connected to their user account through a smart contract. By establishing these linkages, we ensure that ownership of the asset can be maintained even if the user loses their private key. Furthermore, the user’s account in the transaction signer is linked to their Aadhaar, a unique identification number. In the event that a user forgets their password, they can regain ownership of their assets through a validation process using Aadhaar. This validation updates the user’s account in the smart contract, allowing them to regain control over their assets.
Technical Architecture. Two environments (1 Production, 1 Development) will be designed and built to house all the modules purchased. Implementation will occur in the Production environment prior to cutover. The Development environment may be refreshed from Production to support testing and training activities. Training. We train your core team, and provide you with KnowledgePass collateral and toolsets to train your end-users. Our training system allows you to be flexible in how you train your core team: The training provided with each SaaS SMB proposal varies based on employee/entitlement subscription counts but always provide both direct project team training and indirect training such as train-trainer classes to support end-user and scheduler training. Kronos training curriculums can be reviewed on the Kronos customer web-site xxxxx://xxxxxxxxx.xxxxxx.xxx/s/learn. Rapid Implementation: Kronos SaaS SMB fixed scope implementations are designed to deliver value quickly to your organization. Project timelines generally span 2-5 months depending on the number of entitlements selected. Implementation support for these time spans are included in the package. Extended project timelines requested by customers can be supported with additional professional services agreed via change order.
Technical Architecture. The BETA Core Systems shall be able to connect with and operate in conjunction with AGE’s information management technical architecture set forth in Exhibit 11, as the same may be modified by AGE upon 30 days’ notice to BETA, or such other period of time as may be agreed by AGE and BETA in good faith.
Technical Architecture. During our early meetings, we will identify the types of integration required to connect UHIP and InRhodes. We use Extract-Transform-Load (ETL) technology provided by Pentaho for data conversion type integration, and we use an Enterprise Service Bus (ESB) for real-time data integration. We support integration using files (FTP, SFTP) as well as Services-Based Integrations (Web Services, EJB, MOM, etc.) The integration we select will be appropriate to the InRhodes technical integration capability. We will work with the InRhodes vendor to understand the existing data model and perform data mapping between the as-is and to-be data models. From that mapping we will create a messaging model that maps the data between the systems as well as normalizes the cardinality of the records/fields. Functional Architecture: Our approach to developing the functional architecture of the integration will begin with a review of the end-to-end business processes that will need to be supported during the period between the initial implementation of UHIP and the final phase out of InRhodes. Working from this we decompose the to-be functional processes into data integration points needed to support the end to end business flow. Based on the information provided, the following will be specific functional integration points: • Master Client Index • Non-Financial Data • Financial Data • Eligibility • Noticing • Inquiry As we go through this process there will be 3 key guiding principles: • Maintain efficient and effective eligibility business processes for workers and citizens • The implementation of the new solution is not “held back” by limitations in the legacy system. • Reduce the need to develop, test and implement technology that will be “thrown away” after the retirement of InRhodes
Technical Architecture. [Graphics]
Technical Architecture. Early technical thinking on the CHAMPS project was that surveillance locations would collect, curate, and aggregate case information locally (or in-country); CHAMPS would collect the results when the case was completed. In fact, the first draft of the data flow diagram utilized in Mozambique was initially presented as an educational tool for the teams on what “they” needed to do. CHAMPS informaticians planned to document how the site teams were going to fulfill the requirements. As the CHAMPS informatics team engaged with the individual site team modalities (e.g., lab, clinicians, community contacts, demographers, etc.), it became apparent that local support and systems lacked the technical capacity to orchestrate and collate the disparate data in a manner that fulfilled the data requirements of individual case files that consolidated all the prescribed surveillance data into a single comprehensive report. This was a “technical” epiphany that changed the direction of the CHAMPS technical architecture planning, shifting to a model whereby a central CHAMPS system would need to receive transactional components of the case data, transform, and then redistribute the information throughout the case life cycle. This new technical paradigm required deeper consideration by the informatics team for more detailed and intentional data linkage strategies for all the surveillance data components to facilitate asynchronous data collection, asynchronous transactions of that data, and the eventual case-level assimilation of the most current case data available in support of operational hand-offs over time[1]. For example, surveillance site laboratory results were needed by CDC pathologists aid in their histopathology testing. The data flow diagram immediately found a broader purpose of documenting the central data flow blueprint for the honest brokering of data (i.e., collection, linkage, and consolidation of surveillance data on behalf of the research sites) by a central system amongst stakeholders as the case developed, not just acceptance and validation of the final results.
