Proactively Balance Cost, Quality and Risk
Organizations that inadequately manage performance and capacity not only expose key business operations to unnecessary risk, but also invite cost inefficiencies attributable to under- or over-utilized resources. While fully aware of these high stakes, information technology managers tasked to oversee IT infrastructure — from servers to business-critical applications — often lack performance and capacity management tools to:
- Achieve the optimal balance between capacity (cost) and performance (quality)
- Systematically identify opportunities for cost-cutting and consolidation
- Effectively demonstrate work quality to end-users and management
For this reason, the Information Technology Infrastructure Library (ITIL) framework for best practices and concepts guiding the management of IT infrastructure, development and operations has positioned performance and capacity management as an important discipline to be performed proactively in order to ensure IT infrastructure is efficiently delivered at the right time, price and quantity.
Systar Optimizes IT Capacity and Performance
Systar's performance and capacity management solution enables organizations to optimize performance and capacity in the short term while effectively anticipating and planning against future long-term needs. This is achieved through Systar's ability to directly address three major Performance & Capacity Management challenges:
Operational capacity management
- integrating operational capacity reporting into existing processes to improve staff efficiency
- understanding where to consolidate infrastructure to save money
- knowing when and how much to invest to keep IT infrastructure aligned with business needs
Performance management priorities
- empowering management to prioritize IT teams' efforts against performance incidents
- recognizing where to upgrade servers to anticipate / avoid performance degradations
Automated management reporting
- delivering full top to bottom visibility to managers on entire infrastructure
- demonstrating quality of service to end-users
OmniVision Delivers Key Metrics
Organizations managing an increasingly complex infrastructure portfolio — both physical and virtual - with incomplete tools limited to monitoring activity suffer from poor data and functionality for capacity management. As a result, rather than taking a proactive approach, IT managers are forced into reactionary mode — repeatedly called upon to put out fires due to a lack of critical insight into server utilization and capacity or application usage and performance issues.
OmniVision is Systar's global performance and capacity management solution currently utilized on more than 70,000 servers worldwide. For over eight years, OmniVision has been employed by IT departments in global enterprises to help reduce the cost of distributed IT systems, while increasing control of overall performance quality.
OmniVision's decision-support and management reporting capabilities across varied platforms inherent to the distributed IT infrastructure enable organizations to:
- Support consolidation and rationalization projects
- Enable capacity right-sizing efforts
- Drive down infrastructure and management costs
- Increase the delivered quality of service
OmniVision's automatically generated web-based reports collect numerous metrics at a high sampling rate — providing a continual view of capacity and utilization based upon both day-to-day and long term analyses. These metrics are centralized and turned into intuitive daily reports. These reports contain only the information you need to discover performance problems and resource optimization opportunities.
A key feature of Systar's performance and capacity management solution normalizes CPU values across all varieties of distributed platforms (Window, Linux, various Unix) in order to make it possible to compare across platforms and to consolidate heterogeneous groups of systems. These raw metrics are turned into normalized Key Performance Indicators (KPIs) that provide actionable information on the risk of resource saturation and other important conditions.
