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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 Pratexo?

Pratexo dramatically accelerates the processes of developing, assessing, and deploying the distributed systems that are crucial for sophisticated applications in fields such as artificial intelligence, the Internet of Things, and Industry 4.0. By leveraging well-established and open technologies, Pratexo provides a secure and resilient platform that is customized to meet the specific needs of your application. For these transformative applications to operate effectively, they must have the capability to detect, analyze, and respond to enormous volumes of data in real-time. This requirement leads to the necessity for a distributed cloud infrastructure that offers vital cloud services across multiple locations, particularly nearer to the edge. The task of designing and implementing such architectures and applications is not only complex but also introduces various challenges. Applications that initially demonstrate strong performance may encounter difficulties in sustaining efficiency when scaled and can struggle in real-world settings. Many proof-of-concept projects aimed at 'digital transformation' tend to either fail or take significantly longer to be market-ready than originally expected, highlighting the intricacies involved in this journey. Therefore, it becomes clear that a thoughtful and strategic approach is crucial to overcoming these obstacles and achieving successful outcomes in deployment. Additionally, addressing these challenges with innovative solutions can pave the way for more efficient and effective operational models in the future.

Media

Media

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

Pratexo

Date Founded

2019

Company Location

United States

Company Website

pratexo.com

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

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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