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PATROL® for Microsoft Windows Servers - Perform & Predict
Business Challenge
The success of an IT organization is measured by cost effectively delivering optimal levels of service while simultaneously keeping pace with complex and changing environments. Large volumes of data, complex client/server/Web architectures and mission-critical business applications challenge the infrastructure. Increasing user communities, new business models and competitive threats challenge the business. The IS mission is to ensure that both technology and business requirements are met.
Business Need
- Minimize business risk across IT infrastructure or application changes
- Simplify and proactively manage performance information in business terms
- Ensure cost-effective investment by deploying required resources exactly when required
- Demonstrate proactively the cause-effect relationships business decisions have on infrastructure
- Establish the root-cause of performance and application responsiveness bottlenecks
Our Solution
PATROL for Microsoft Windows Servers - Perform & Predict helps you understand the past, present and future performance of your IT environment. Historical analysis provides the proper business perspective for IT decisions. Real-time analysis ensures your ability to identify and resolve current application bottlenecks and performance issues. Analysis and predictive modeling identifies trends, providing rapid recognition of normal and abnormal usage, and reveals the impact of changes on your business. This knowledge can help you always deliver the right levels of service.
Key Features & Benefits
- Establishes a common view between IT and business to reduce finger pointing and speed problem solving via workload-oriented
- Discovers exceptions to normal performance in complex environments via statistical analysis to concentrate scarce resources on true business problems
- Controls costs while setting achievable service level goals by determining the business impact of resource changes with predictive modeling
- Prevents service problems by predicting the impact of change on application responsiveness through multi-system workload oriented predictive modeling
- Optimizes and tunes existing systems/applications to maximize usage and defer spending using advanced modeling capabilities
- Reduces risks by making correct business decisions based on complete and accurate data and performance analysis
- Saves problem resolution time by using statistical and modeling analysis to identify the root-cause of throughput and responsiveness bottlenecks
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