FireScope Solutions for Modern Applications
As developers embrace Big Data and cloud-technologies to drive down latency and achieve unheard of scale, maintaining optimal user experiences after these applications reach production becomes more challenging. The challenge is not just in reliably accessing the massive amounts of data being generated by modern infrastructures, but integrating multiple sources of unstructured data, achieving real-time visibility and automated analysis for trends, patterns and anomalies. The implications are wide spread; operational agility is inhibited, business decisions are based on insufficient or stale data, and blind spots in technology performance that lead to repeated incidents and outages.
FireScope Simplifies Management of Modern Applications By:
- Multiple, highly customizable data collection methods make it easy to tap into both structured and unstructured data.
- Monitor the entire service structure, not just the application layer, to get the complete picture of service health and performance.
- All incoming data is normalized to facilitate analysis across traditional technology or vendor silos.
- Highly flexible event analysis engine enables organizations to identify and trace the first signs of performance degradation.
Consider these challenges faced by actual FireScope customers:
- North America’s largest local search, media and advertising company could only extract critical data regarding customer transactions generated by their in-house developed application through considerable manual efforts. This forced business owners to make decisions based on data that could be weeks old, and severely limited their flexibility to use this data in different ways.
- A national pre-paid credit card provider had no visibility into the transaction pipeline between their data center and their partners. Issues with these message busses, at the very heart of their business, had lead to significant financial penalties due to breach of contract.
- A financial services organization’s high-frequency trading business had no insight into the distribution of transactions across their custom-built trading application farm. As the load became imbalanced across assets, or utilization was nearing capacity, trades became delayed or lost, resulting in penalties and revenue losses that could reach millions in a single day.
Each of these organizations turned to FireScope to solve these critical business challenges by delivering automated, efficient and highly accurate collection of this non-standard data into a single Big Data repository. FireScope gave them the ability to analyze this data in real-time to generate alerts when anomalies occurred, deep historic trending reports to evaluate the impacts of iterative changes, and predictive analytics for improved strategic planning. Furthermore, the solution allowed them to correlate this key business data with traditional technology metrics to help them connect the dots between technology performance and business outcomes.
For more information about each of these case studies, we invite you to read the white paper Tackling the Business Challenges of Unstructured Data.
Harnessing Unstructured Data
Modern applications, and their supporting infrastructure, are generating massive amounts of data every day. Unfortunately, much of this data doesn't fit into pre-defined data models or is not accessible through traditional protocols, making it virtually impossible for IT to effectively use. This is unfortunate, as considerable value can be gained if organizations can harness this unstructured data.
FireScope Stratis specializes in collecting data that was previously inaccessible. With an extensive menu of data collection capabilities, the conversation is never "Can FireScope access this data," but instead "What would you like to do with your data."
- Direct Data Payload and Web Service capabilities enable developers to push data directly to FireScope for real-time event analysis and performance trending.
- Over 20+ native data collection methodologies enable the solution to access any data, regardless of format or protocol.
- Enterprise Service Bus (ESB) facilitates data normalization, enabling data from different sources and different formats to be evaluated in an apples-to-apples way.
Self-Adjusting Performance Thresholds
FireScope leverages an Nth-percentile algorithm that automatically calculates a baseline for key metrics over a user-controllable period of time. These baselines are then used to identify and filter one-time spikes versus sustained trends of stress that are the early indicators of service degradation. This helps organizations get ahead of issues before users are impacted while separating out the critical issues from those that can be safely ignored - and all without requiring constant manual adjustments to configuration.
Putting Events and Performance in The Right Context
By mapping each asset and application with the critical services they contribute to and applying analysis in a way that takes these dependencies into account, FireScope can help organizations identify, respond and resolve service-impacting events faster and more effectively.
- Technology assets are aligned to the critical services and revenue streams they contribute to for more meaningful analysis of performance.
- User experience metrics are correlated with real-time data from the underlying technology, helping users understand the ripple effects of an event to users and customers.
- Events generated by downstream dependencies are suppressed to prevent alert storms. For example, if a switch goes down you don't need alerts raised on every device connected to it. Instead, FireScope sends a single alert that describes the outage and which services are being impacted.
- All of IT gets on the same page to eliminate the potential for the blame game.