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Track server performance and optimize the performance of your organization's IT stack with this trend visualizer

Track server performance and optimize the performance of your organization's IT stack with this trend visualizer

Vote: (1 votes)

Program license: Trial version

Developer: Telsys

Version: 4.20

Vote:

Program license

(1 votes)

Trial version

Developer

Version

Telsys

4.20

Pros

  • Robust data management and visualization
  • Incorporates spreadsheet functions for enhanced usability
  • Real-time data updates with a comprehensive graphing system
  • Support for long-term data tracking and historical archiving
  • Advanced calculations for weighted averages based on update intervals

Cons

  • Interface can initially be complex for new users
  • Limited to managing up to 10,000 data points
  • Primarily targeted at technical and business-oriented users

Comprehensive Trend Management with TCS

TCS, standing for Trend Control Systems, is a high-performance trend management software designed to offer efficient handling of data, whether it’s acquired directly from various systems or generated internally by server performance metrics. With its versatile capabilities, TCS provides a robust solution for those who require periodic updates and value management within a database, all of which are accessible via SQL queries executed on the host computer.

Intuitive Data Visualization and Management

The software allows for comprehensive data tracking and analysis, letting users display, store, print, and export information in both graphical and numerical formats. One of the core strengths of TCS is its seamless integration with a suite of spreadsheet functionalities, providing an ordered and clear visualization on single or multiple pages, enhancing both productivity and ease of use.

TCS manages to deliver a fluid user experience where each graph can display up to six individual curves simultaneously. These trends can be monitored over varying periods, be it hourly, daily, weekly, monthly, or yearly. The dynamic point-value system ensures real-time updates from field data are represented accurately, enabling users to keep a vigilant eye on trends and data changes as they happen.

Long-Term Data Handling and Server Performance Optimization

One of the primary applications of TCS is in the longitudinal analysis of data, which is instrumental in preserving critical information for future assessments. Additionally, the software can track parameters of a server, providing valuable insights for performance optimization, particularly during periods of heightened activity such as during an alarm-triggered event in supervision systems.

TCS is capable of managing a substantial data set with a ceiling of 10,000 data points. Reports generated can reflect assorted averages, including arithmetic or weighted averages, based on the specific time frame — be it hourly averages for daily and weekly trends or daily averages for monthly and yearly trends. The calculated weighted averages take into consideration the interval between updates, leading to more precise and meaningful average computations.

Historical Archiving and Export Functionality

Data can either be displayed for immediate analysis or be stored in a historical archive for long-term record-keeping and subsequent review. This dual functionality of TCS ensures that users have the flexibility to choose data retention strategies that align with their operational needs or compliance requirements.

Conclusion

TCS stands out as a powerful, data-centered trend management tool with advanced capabilities for visualizing and interpreting vast sets of data over various time intervals. It is particularly suited for businesses and technical users who need to keep a close eye on parameter changes and optimize system performance during peak times.

Pros

  • Robust data management and visualization
  • Incorporates spreadsheet functions for enhanced usability
  • Real-time data updates with a comprehensive graphing system
  • Support for long-term data tracking and historical archiving
  • Advanced calculations for weighted averages based on update intervals

Cons

  • Interface can initially be complex for new users
  • Limited to managing up to 10,000 data points
  • Primarily targeted at technical and business-oriented users