Set of artifacts often created by Avilius Consultancy

(The set of artifacts produced vary per project and organization needs basing on their anticipated business value)

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Infrastructure Architect IT

Activities:
- Design and implementation of the Infrastructure solution architecture.
- Develop the architecture vision.
- Develop cloud services. 
- Consolidated data centers. 
- Design self-healing systems in a fully redundant infrastructure model.
- Implement and administer core infrastructure technologies and related services including Virtualization, Enterprise Storage, Networking, Datacenters, and Cloud services.
Artifacts:
- Architecture principles and tools
- Architecture in a fully redundant infrastructure model.
- Definition of performance metrics model. 
- Models of future state. 
- RFI / RFP / RFQ from infrastructure vendors.

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Cloud Architect

Activities:
- Gather and review requirements for the front end platform, back end platforms, network and cloud based delivery.
- Gather and review project definition. 
- Gather and review product or service description.
- Plan approach to risks and design constraints.
- Collect all requirements. 
- Analyze and document cloud computing adoption model.
- Review and validate requirements.
- Map requirements to current Enterprise Architecture framework. 
Artifacts:
- Requirements Traceability Matrix. 
- Use Cases & Acceptance criteria. 
- Cloud strategy plans. 
- Cloud application design.
- Cloud Managementand monitoring.
- Cloud network security architecture.

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Big Data Architect

Activities:
- Review and validate the requirements.
- Select architecture for Big Data solution.
- Manage and communicate requirements and solution design.
- Choose solution pattern for a big data solution.
Select the right products to implement a big data solution.
Determine if big data solution  either fulfill the business problem or requirements.
- Review and validate third party vendor design documents.
Artifacts:
- Feasibility study and Operational Impact Accessment. 
- High Level and Low level Solution of Big Data Solution. 
- Document Data type, content format, sources and consumers. 
- POC & prototypes design. 
- Interfaces Document description. 
- New business processes design.