GRV Systems’s Cloud computing capabilities will accelerate your Cloud journey, from Cloud strategy and assessments, to Cloud architecture and vendor selection, to implementation, management and Cloud governance. GRV Systems Cloud computing practice focuses on the full life cycle of Cloud computing – from strategy and planning through Cloud modeling, architecture and design, to implementation and support. Key elements of our Cloud practice include our newest Playbook solution — GRV Systems Cloud Computing Playbook™, as well as our Cloud Computing Reference Model (CC-RM) and reference architecture framework.

GRV Systems on the forefront of technology with our SOA-in-the-Cloud approach, or Cloud Services Brokerage (CSB) approach. Cloud computing and SOA/Web services are fundamentally the same architecture paradigms at their core. Therefore, the natural convergence of SOA application services and Cloud services can be realized through an integrated strategy and architecture. SOA and Cloud computing can be realized in multiple approaches, but the most compelling is the SOA-in-the-Cloud pattern, or Cloud Services Brokerage.

GRV Systems offers Cloud Services Brokerage/SOA-in-the-Cloud CSB reference model and CSB reference architecture templates to facilitate your migration to this emerging Cloud computing paradigm, as well as the technical expertise to accelerate your implementation of a Cloud Services Brokerage.

GRV Systems will help you model, design and select appropriate CSB partners, evaluate them, and finally, provide technical and engineering support to realize your business objectives from a Cloud Service Brokerage.

GRV Systems will help you determine how to leverage Cloud analytics and Big Data to drive business and mission value for your enterprise. Leveraging Industry standards and reference architecture, GRV Systems will help you develop a logical model and technical architecture for Cloud analytics that will meet your objectives. GRV Systems will provide technical engineering, architecture, data science and analytics expertise to quickly implement Cloud analytics based on best practices from both commercial and public sector experiences.

Cloud analytics strategy and roadmap to craft your approach to Big Data and Cloud analytics
Cloud analytics reference model and reference architecture
Cloud analytics POC, pilots and implementations
Integrating Cloud analytics with traditional business intelligence architectures