Systems Design

RunTime Computing provides system design services for a variety of issues facing system architects and system engineers. Following are examples of the system design services that RunTime Computing has delivered for customers. RunTime can provide system design services to meet your specific needs.

Cluster and Distributed Systems Architecture

RunTime works hand-in-hand with its customers to define scalable systems architectures based on COTS servers, networks, and storage, in order to achieve performance, cost-of-ownership, and meet customer goals for cluster and grid computing architectures. By recognizing how to use the right combinations of COTS hardware, open source software, and commercial products, RunTime engineers create maintainable, expandable, and efficient options for its customers, working always as an agnostic, vendor-neutral, trusted advisor on hardware and software products.

COTS Systems and Open Source Adoption

In many fields, customers are only beginning to achieve the benefits of COTS system adoption, and the use of Open Source. RunTime engineers have expertise in both of these areas, including the use of cluster systems based on x86 architectures, moving to Linux-based compute environments, and the plusses and minuses of open source components in systems architectures. Example engagements include designing distributed systems based on dense servers, networking and LAN configurations, and I/O interfacing to external systems, together with configuration management for Linux deployments, and management of security concerns.

Designing applications for Scalable and Distributed Architectures

RunTime engineers engage with customers to design scalable applications “from scratch,” including defining roadmaps and architectures for current and future deployment architectures. Using its expertise in the full lifecycle management of technical applications, and expertise in reusable middleware, RunTime engineers can advise customers on how to define a software process for internal development of parallel applications.