Predictive Analytics

FireScope's scope can go beyond historic and real-time analysis to include predictive analytics to help you shape your environment to support future requirements. The FireScope Analytics add-on leverages the rich historic data accumulated by FireScope Stratis to analyze consumption of your critical services and applies over a dozen predictive algorithms to project future resource requirements. All on-demand and with drag and drop ease.

 

  • Eliminate the weeks of manual effort required to aggregate and correlate capacity data.
  • Identify how business services consume key resources such as storage, compute and others and at what rate for planning, utilization and allocation purposes.
  • Achieve more accurate analysis of future requirements, enabling organizations to make the right purchase, at the right time to avoid over-spending.
  • Ensure availability, performance and security of your critical services by forecasting future requirements for pro-active management.
  • Avoid revenue and productivity losses due to outages or performance issues caused as assets breach resource capacity.
  • On-demand nature gives IT greater agility to adapt to sudden surges caused by marketing campaigns or product launches.

Example Use Case: Guidewire ClaimCenter

Guidewire ClaimCenter is a web-based application used by insurance organizations to manage the complete claim lifecycle. This complex, java-based web-application, which is used by several FireScope customers, provides an illustrative example to explain how FireScope Analytics delivers value for our customers.

Inputs

  • Major natural disasters
  • New marketing campaigns
  • New product launches
  • Seasonal variations
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Real-Time Input Metrics

  • Website sessions and rate of growth
  • Application server utilization
  • Claim queue depths
  • Delayed, failed, cancelled claims
  • Storage throughput, latency, utilization
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Predictive Analytics

  • At the current rate of growth, when will I need to deploy additional application servers?
  • Can my current environment support 25% growth over the next 3 months?
  • Of all of the dependencies of Guidewire, which are the greatest bottleneck for user experiences?
  • If I were to increase heap size on the web servers, how does that impact the message queues?
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Drag-and-Drop Answers to Your Toughest Business and Technology Questions

 

 

Get New Insights with Genetic Algorithms

The complexity of modern applications can make it virtually impossible to fully understand the causal relationships between all of the elements that comprise the applications. We often find organizations struggling with the "Ghost in the Machine" problem, where periodically applications fail or experience a severe performance degradation and no one can figure out why.

FireScope Analytic's Genetic Algorithm is uniquely suited for these situations. In essence, it is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

When applied to your technology, the Genetic Algorithm helps identify related or potentially causal activity across all the elements of a service, enabling organizations to identify scenarios where latency on a filer may be causing upstream database queries to time out, for example.