BMC offers the following products to support enterprise management for Open VMS: BMC® CONTROL-M for Distributed Systems focuses on the production environment's business applications and platforms. It provides advanced production-scheduling capabilities across the enterprise from a single point of control, and offers added value by focusing on managing and integrating dissimilar applications into one business flow, assuring service levels are met. BMC® Performance Manager for OpenVMS helps you collect current and historical information through a centralized console, so you can easily see the status of your entire OpenVMS environment. With this product you can drill down to view detailed parameter data such as the CPU, file systems printers, etc. OpenVMS has taken center stage as the need for a general-purpose, multi-user base operating system has become crucial in today's complex and emerging systems environment. IT administrators faced with managing heterogeneous environments rely on their systems for optimal performance in a wide variety of conditions. OpenVMS provides a practical and effective solution for managing high-volume, business-critical applications. BMC Software offers advanced management capabilities specific to the OpenVMS platform in the areas of application management, performance management and capacity planning, database management, security management, middleware management, business integrated scheduling, and business information management. Our OpenVMS solutions are designed to assure availability, optimize performance, and increase productivity. Solutions for OpenVMS help you manage the OpenVMS environment more easily and cost-effectively. We provide tools that help you: Automatically monitor and manage your OpenVMS System View centralized data – See current and historical information though a centralized graphic console Monitor round the clock – Quickly determine availability and performance of your server environment Stay informed – Discover exceptions to normal performance in complex environments and take corrective action with automatic notification Set new Service Level Agreement (SLA) standards Measure effectiveness – Address service-level requirements and performance modeling capabilities to provide insight into future issues Gather operational data – Collect transaction-based metrics including throughput and response times based on end-user workloads Exceed expectations – Increase customer satisfaction through efficient and reliable system and application performance Track impact of changing user demands and hardware configurations Determine available resources – Accurately predict and prevent performance problems by accurately determining the resources needed to meet business requirements Justify system upgrades – Examine solutions to performance problems without expense or disruption to the production environment Control budgetary impact – Make just-in-time system upgrades to cost-effectively deliver service within budget requirements