Turn digital interactions into actionable intelligence
Solve application stack problems faster
Eliminate whole classes of previous long-term issues
Maximize business performance at the lowest cost
Automatically build an understanding of a users experience by observing application and middleware interactions
Overlay performance data to understand how each system impacts the user experience
Use machine learning to identify risks and opportunities
Analyze digital interactions individually and in aggregate against business and technical objectives
Generate required business and technical reports
Help operations, developers and the business make faster more accurate decisions
Advanced predictive anomaly detection
Raw information handling and analytics speed.
Bayesian Classification and other machine learning algorithms.
Raw information handling and analytics speed.
End-to-end business transaction tracking that spans technologies, tiers, and organizations
EASE OF USE
Intuitive, easy-to-use data visualizations and dashboards
Analyze and Present
All of these capabilities fuse seamlessly across dynamic IT environments, from mobile to mainframe, and provide the broad array of analytic and decision-support capabilities needed by developers, IT admins, and business analysts to satisfy enterprise-grade operations intelligence and APM needs.
JKQL> get number of events ‘SQL.insert.note’ where setname contains ‘Sentiment’ group by setname show as piechart‘
This query reads the note the Customer Service Rep entered about the customer and uses this to analyze customer sentiment. This is used to categorize users and predict their future behavior based on their level of satisfaction.
Predictive Anomaly Detection and Machine Learning
Nastel XRay real-time “smart” analytics for anomaly detection makes the task of detecting problems and combining emerging trends and subtle behavior patterns into a clear picture of how IT operations are affecting business outcomes much easier and faster. IT professionals and business stakeholders can now make more informed and rapid decisions based on business insights formerly hidden in a multitude of high-volume data sources.
This major advance in anomaly detection and machine learning is based on extensive enhancements and extensions to the open source code contribution by Netflix in their Robust Anomaly Detection (RAD) project. Utilizing machine learning technology, Nastel XRay rapidly improves over time at predicting, sensing, and evaluating the exact nature of performance issues.
Potential use cases include almost any industry vertical where subtle data outliers demand fast reactions and decisions. Some examples include actual or potential financial system security breaches, non-compliance, supply chain issues that potentially cascade rapidly into major delivery problems affecting customers…the list is almost endless.
Developers can leverage Nastel XRay ready-to-use smart analytics without the burden of constantly writing rules to make sense of data
Business analysts are armed with advanced tools to better understand the behavior of users and immediately understand what is normal or expected behavior, and what is not
Enterprise-grade “Fast Data” Handling & Analytics Speed
The presence of fast data — high-velocity streaming information with short-term value generated from a large multitude of IT infrastructure devices and instrumentation sources—can easily overwhelm existing analytic and APM tools.
Nastel has released the next generation of its high-speed analytics platform incorporating real-time parallel data processing grids and FatPipes™ orchestration: Nastel XRay
Designed for extreme scalability, Nastel’s® AutoPilot® Insight’s Lambda architecture provides the data management and processing bandwidth necessary to handle the largest enterprise use cases, regardless of data source or level of high-velocity data flows.
Business Transaction Tracking
Because transactions range from simple synchronous message exchanges between point-to-point application connections, to much more complex asynchronous communications, a sophisticated tracking and monitoring solution is required.
In the latter instance, long-running, multi-step asynchronous transactions transit your IT infrastructure, spanning multiple technologies, tiers, and even different organizations. They frequently involve a broker routing the messages associated with a single transaction to many discrete destinations (DBs, servers, apps, mainframes, etc.). And because a message broker is involved, these complex transactions often morph and split, thus defying standard tracking and analysis via tagging or statistical sampling techniques.
Nastel’s® AutoPilot® stitches together complete end-to-end transactions by examining method calls and individual message payload contents, correlating them and presenting intuitive visualizations of any pending or existing breaches in expected behavior and performance.
Deep examination of transaction message payloads enables linkage of IT activities and behavior to expected and actual business outcomes
Following are several examples of actual Business Milestones displays drawing upon Nastel’s transaction tracking capabilities.
Business Milestones display reflecting a SWIFT-based financial payment topology with red color bars flagging problem areas for the user
Business Milestones for product order transactions, from initiation to shipment, showing clickable drilldown detail screen
For analysts and other non-technical business users, Nastel’s new Launchpad makes it easy to send data to Nastel XRay, automatically create intuitive dashboard displays, or simply walk users through sample business use case setups that could be used as templates for their own purposes. Enterprise organizations now have an easy means of applying analytics to the data streaming from their applications to Nastel XRay.
By adding intuitive workflows plus wizards, use-case templates, and dashboard launch-pad features, the net result is an extremely fast and capable APM platform that serves the analysis and reporting needs of everyone from developers, IT admins, telecom managers, and business analysts.”
Example of Nastel XRay landing page, showing access to analytics, demos, data dashboard, and explanations of sample use cases
Example of wizard-guided data analysis process for business specialists
Example of candlestick data presentation in the context of memory utilization
With the Internet spreading linke wildfire and reaching every part of our daily life, more and more traffic is directed to websites in search for information. Nastel XRay real-time CEP analytical engine collects, aggregates, filters and correlates metrics and events from infrastructure systems, then augments and enriches that data with information obtained from external sources such as RSS, news feeds, financial data and even email messages for complete 360° situational awareness.
Nastel XRay CEP analytics engine automatically calculates dynamic trends and creates its own metrics, such as “change in rate-of-change.” It can determine what is truly outside of “business normal” for a given environment, instantly differentiating intermittent spikes in, say, resource consumption from a true problem that might cause an outage or impede the delivery of a business service. It is used for:
– Compliance – detecting potential or actual breaches in responsibility
– Preventing false problem alarms
– Understanding trends across composite applications
– Determining the ability to handle rapid increases in load
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