Next Gen Architecture
Self-managed and Interoperable – Machine-centered Design
Applications now live in an IT world that must be interoperable. Monolithic, siloed software applications are being rearchitected so they can communicate and interoperate with other applications to meet business needs. This requires solid architecture to ensure access and functionality.
CVP takes an iterative approach to architecture modernization so that data and services will always be available. First, we work with the client to identify building blocks of services and infrastructure, diagram the envisioned future state, and identify ways in which we can modernize legacy systems and applications. Only then do we design and implement a new enterprise architecture model that reduces operating costs, satisfies mobility growth, and supports microservices. Our approach synthesizes the following elements to help our clients modernize their systems:
- Autonomous Computing: Machine learning, self-healing systems, and artificial intelligence
- Scalable Adaptation: Cloud principles, blockchain, and distributed ledgers
- Connectivity: API-first, conversational system-to-system, and adaptive security
Innovation: Foundations and Arches
We work with clients to explore emerging technologies and build consensus around pragmatic approaches to enterprise architecture. We are also actively exploring opportunities to apply our understanding of microservices architecture to improve federal systems and make them more reliable, resilient, and interoperable.
CVP is a MuleSoft Integrator Partner, allowing us partner-only access to the MuleSoft support portal, which contains tools and resources to assist with architecture configuration.
Next Generation Information Exchange
CVP provides operations and maintenance support for a 15-year-old data sharing service vital to maintaining secure borders. While keeping the legacy system up, we are designing, developing, and supporting a new Information Sharing module based on future-facing technology. We modernized the interfaces, supporting more efficient control and audit capabilities. We disconnected API connections from legacy systems, creating a single platform for control.
Creating the Architecture to Carry the Data Load
CVP is currently implementing a backend Hadoop clustered database platform to enhance the current data warehouse infrastructure for a analytical application for a major federal agency.
Seeing Data Flows at the Granular Level
CVP identified, analyzed, and reviewed the smallest constituent elements to implement services-oriented architecture interfaces to the data warehouse, the Recall data system, and the geographical information system at a federal agency.
Ensuring Data Flows Don't Get Lost in Transfer
In juggling data flows between partners around the world and thousands of US universities and training programs, CVP helped upgrade the data interface to a microservices-based architecture with improved performance and data reliability.
Locking Down Secure Networks
CVP is designing, implementing, and supporting a new wide area network and virtual private network that addresses issues of high availability and performance for non-stop operation of critical business applications globally at a national security agency. The solution provides department-wide consistency by implementing standard, proven, flexible and scalable technologies across similar functions, thereby reducing the risk of implementing incompatible software or hardware while helping to reduce costs through economy of scale. The plan also envisions consolidation and integration of the engineering, design, security and operations and maintenance of the network perimeter, which includes multiple sets of firewalls, switches, routers, caching servers. Security features include antispyware, antimalware, and antivirus services, plus email services with related antivirus, spam, and web filtering. It operates existing centralized security systems and automated tools to monitor and control security configurations and standards.
Meet Featured CVPros
Decades of experience in enterprise architecture and data centers. Creates and uses neural networking, linguistic, semantic, microservices, and cloud technologies.
Earned his stripes in cloud architecture and development, machine learning, and artificial intelligence in highly secure environments.