Complex Event Processing (CEP)
Prevent recurring problems with Real-time analysis
Improving signal-to-noise ratio
The advanced application analysis engine using Complex Event Processing is the core of AutoPilot. It performs event stream processing and correlation. The analytical engine can be distributed, collaborate and linked together using high speed pub/sub – and capable of almost linear scalability in accordance with load.
Analytics for Complex Event Processing (CEP) Features include:
Real-time rules processing
Time-based trend recognition
Aggregation, sorting, merging and joining of events and metric
Scales to handle millions of events per second
Analytics (mathematical computations such as Standard deviation, EMA (Exponentially moving avg.), MA (moving avg.), momentum indicators and many more) to automatically determine business normal vs. abnormal states
Wizard driven GUI interface
Predictive problem prevention capabilities
Preventing recurring problems
AutoPilot’s real-time application analytics engine using complex event processing (CEP) automatically calculates dynamic trends, creating its own metrics such as “change in rate-of-change” and effectively determine what is truly outside of business normal for your environment. It can instantly differentiate spikes and resource consumption from a true business impacting problem that might cause an outage.
These metrics can be composite metrics or KPIs that are based on multiple conditions specified by business policies and are used for:
Compliance – Detect potential or actual breaches in responsibility
Prevent false alarms
Understand trends across composite applications
Determine if you will be able to handle rapid increases in load
Keep up with the big-data from events and ensure that authentic problems are attended to
Elastic Applications require Elastic Monitoring
Today’s applications are elastic, either deployed in virtual machines, clusters or in the cloud. Elastic applications can’t be monitored using yesterday’s static models. Static thresholds and modeled transaction flows become outdated almost instantly and are ineffective. Constant change is the new normal and this makes root-cause analysis very difficult. An elastic approach with real-time monitoring and analytics, which creates automatic dynamic trends across domains, is essential to reduce the frequency and duration of incidents and detect problems before there is impact.
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Nastel AutoPilot Can Predict Problems
Nastel AutoPilot with its Complex Event Processing engine and its unique, prebuilt policies for defining “business normal” and “business abnormal” can help you become proactive in your problem resolution process and reduce the number of tickets at your Service Desk.
Most companies today are more concerned than ever about maintaining system uptime, assuring that business transactions flow smoothly and complete in a timely way and recovering as rapidly as possible from failures.
Predict to Prevent
Nastel AutoPilot helps you meet all of these critical objectives.
It can actually help you predict and prevent problems – before they can disrupt your operations.
Proactive vs. Reactive
Usually, problems are detected as they occur and they’re reported after the fact rather than anticipated and prevented. By the time the problem is detected, service is usually either severely degraded, unavailable, or disabled, causing noncompliance with SLAs, increased costs and loss of productivity.
Because performance problems are already impacting the business by the time you’re notified, far more time is spent on fault detection than fault prevention. Industry experts contend that on average, 80% of the time is spent on finding the problem and only 20% on fixing it.
Nastek AutoPilot provides a continual real-time macro view of overall application environment health and instant, on-demand deep-dive diagnostics into the underlying infrastructure.
Nastel AutoPilot will automatically notify you at the first sign of a performance anomaly or bottleneck so you can proactively take action to avert a problem before it hits.
Trends and Patterns that Predict Problems
The Complex Event Processing (CEP) engine that forms the core of Nastel AutoPilot combines real-time rules engine processing with unique time-based trend recognition based on accumulated historical performance data to match behaviors and process patterns. It can apply filters, conditions and thresholds to spot anomalies and alert you of developing situations and potential problems.
Nastel AutoPilot real-time, on-demand measurement of Key Performance Indicators (KPIs) and the ability to process and recognize patterns enables proactive problem prevention with an end-to-end visibility into transactions and business processes as well as predicting future trends.
Simply put, Nastel AutoPilot gives you the most powerful predictive problem prevention capabilities available.