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What is Riverbed APM?
Enhanced high-definition Application Performance Management (APM) visibility is achieved through a combination of real user monitoring, synthetic monitoring, and OpenTelemetry, which provides a scalable, user-friendly solution that streamlines the integration of insights from end users, applications, networks, and cloud-native environments. The proliferation of microservices in containerized settings across dynamic cloud infrastructures has created a highly distributed and transient landscape that presents unprecedented challenges. Traditional APM enhancement techniques, which depend on sampled transactions, partial traces, and aggregate metrics, are proving inadequate as legacy solutions falter in pinpointing the causes of sluggish or stalled business applications. The Riverbed platform offers unified visibility across today’s application landscape, ensuring straightforward deployment and management while enabling faster resolution of even the most complex performance issues. Specifically designed for cloud-native contexts, Riverbed APM delivers in-depth monitoring and observability for transactions operating on modern cloud and application infrastructures, significantly improving both operational efficiency and user experience. By embracing this all-encompassing strategy, organizations not only tackle existing performance hurdles but are also well-equipped to navigate future technology evolutions effortlessly, thus ensuring sustained success in a rapidly changing digital landscape.
What is JENNIFER?
JENNIFER oversees the entire transaction journey from the moment a request is initiated until it leaves the web application server, all in real-time. It features a color-coded transaction bar that highlights the duration of each transaction, acting as an immediate performance alert for your web application server. By identifying irregular transaction events like slow response times, errors, exceptions, and problematic SQL queries, JENNIFER promptly notifies users of any anomalies. Moreover, its real-time stack trace dump facilitates quick pinpointing of any abnormal method activity occurring during transaction processing within the application server. Users have the option to establish a custom threshold for managing service load, which can significantly reduce the chances of a complete system failure due to unexpected spikes in transactions, such as during school registration periods, ticket sales, or events at shopping centers. This proactive strategy not only enhances reliability but also optimizes performance management for critical applications, ensuring they operate smoothly under all circumstances. Ultimately, JENNIFER empowers users to maintain a robust and efficient web application environment.
Integrations Supported
Amazon Web Services (AWS)
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure
OpenStack
OpenTelemetry
Red Hat OpenShift
Integrations Supported
Amazon Web Services (AWS)
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure
OpenStack
OpenTelemetry
Red Hat OpenShift
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Riverbed
Date Founded
2002
Company Location
United States
Company Website
www.riverbed.com/products/application-performance-monitoring/
Company Facts
Organization Name
JENNIFERSOFT
Date Founded
2005
Company Location
United States
Company Website
jennifersoft.com/en/
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Categories and Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions