JENNIFER Description
JENNIFER monitors the entire transaction process from the moment a request is entered until it exits the web application server, all in real-time. It utilizes a color-coded transaction bar to indicate the duration of each transaction, serving as a timely alert regarding the performance of your web application server. By detecting unusual transaction events such as poor response times, errors, exceptions, and problematic SQL statements, JENNIFER provides immediate alerts for any irregularities. Additionally, its real-time stack trace dump allows for swift identification of abnormal method behavior during transaction processing within the application server. Users can set a custom threshold to manage service load, which can help avert the risk of an entire system shutdown due to a sudden surge in transactions, such as during a school course registration, ticket booking service, or events at a shopping mall. This proactive approach ensures better reliability and performance management for critical applications.
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NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
NetCrunch provides real-time dashboards and automatic Layer 2 and routing topology maps for visibility into network status and performance. Network traffic analysis supports NetFlow, sFlow, IPFIX, and other flow technologies. Its alerting system supports event correlation, dependency-aware suppression, predictive thresholds, escalation, and 40+ automated response actions, including scripts, notifications, API calls, and integrations with external systems.
Distributed Monitoring Probes extend monitoring to remote and isolated locations. NetCrunch also provides a REST API for integration and automation with external IT management, service management, and operational systems.
NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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Huawei APM
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aiReflex
Fraud.com's aiReflex is a digital risk and trust solution designed to simplify your fraud defences, making life easier for you and safer and fairer for your customers.
aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud and improve customer trust.
Everything you need to eliminate transactional and application fraud, including:
- Transactional Orchestration
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- AI Engine (Supervised and Unsupervised Machine Learning)
- Simulation Engine
- Dynamic and static lists
- Journey-Time Orchestration
- OmniChannel Case Management
- Centralised Fraud Reporting
Contact us at fraud.com on how we can help you improve your fraud defence while reducing costs and improving customer experiences.
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Pricing
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
JENNIFERSOFT
Year Founded:
2005
Headquarters:
United States
Website:
jennifersoft.com/en/
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Training Videos
Customer Support
Online Support
JENNIFER Features and Options
Application Performance Monitoring (APM) Software
Performance Control
Trace Individual Transactions
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