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Description
As cloud-based applications and 5G technology become more prevalent, Communication Service Providers (CSPs) are compelled to prioritize delivering a superior user experience. Business clients and everyday consumers alike are unwilling to tolerate sluggish or malfunctioning applications, nor are they satisfied with poor-quality audio or video during virtual meetings. Achieving high Quality of Service (QoS) and an elevated Quality of Experience (QoE) is essential for demonstrating network excellence. To achieve these goals, CSPs must gain unprecedented insights into their networks. Cirries' Data Analysis in Real Time (DART) enables this level of understanding. DART serves as an all-encompassing network performance monitoring solution that offers comprehensive visibility across a range of environments, including physical, virtual, software-defined, and cloud-based networks. By analyzing all network traffic and application transactions in real-time, DART generates numerous detailed metrics regarding voice, video, and application performance. It is capable of identifying network bottlenecks, performance issues, application delays, and glitches in web applications, ultimately ensuring that users enjoy a seamless experience. This innovative tool empowers CSPs to make informed decisions, further enhancing their service quality.
Description
Enhanced high-definition APM visibility through real user monitoring, synthetic monitoring, and OpenTelemetry offers a solution that is scalable, user-friendly, and simplifies the integration of insights from end users, applications, networks, and the cloud-native space. The rise of microservices within containerized environments on dynamic cloud infrastructures has resulted in a highly transient and distributed landscape at an unprecedented scale. Traditional methods of enhancing APM, which rely on sampled transactions, partial traces, and aggregate metrics, have become ineffective, as legacy APM solutions struggle to identify the reasons behind slow or stalling critical business applications. The Riverbed platform provides cohesive visibility across the contemporary application landscape, ensuring ease of deployment and management, while facilitating quicker resolution of even the most challenging performance issues. Riverbed APM is thoroughly designed for the cloud-native environment, offering extensive monitoring and observability for transactions that operate on the latest cloud and application infrastructures, ultimately enhancing operational efficiency and user experience. This comprehensive approach not only addresses current performance challenges but also positions organizations to adapt to future technological advancements seamlessly.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure
OpenStack
OpenTelemetry
Red Hat OpenShift
Integrations
Amazon Web Services (AWS)
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure
OpenStack
OpenTelemetry
Red Hat OpenShift
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cirries Technologies
Founded
2006
Country
United States
Website
www.cirries.com/solutions/communications-service-provider/performance-monitoring-qos-qoe/
Vendor Details
Company Name
Riverbed
Founded
2002
Country
United States
Website
www.riverbed.com/products/application-performance-monitoring/
Product Features
Product Features
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions