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Description
Pratexo significantly speeds up the creation, evaluation, and deployment of distributed systems necessary for advanced applications in artificial intelligence, the Internet of Things, and Industry 4.0. Utilizing established and open technologies, Pratexo establishes a robust and secure platform tailored to the unique requirements of your application. For transformative applications to function effectively, they must detect, analyze, and respond to vast quantities of data in real time. This necessitates a distributed cloud infrastructure that provides essential cloud service capabilities across various locations, particularly close to the edge. Designing and launching such architectures and applications is not only intricate but also poses numerous challenges. Often, applications that initially perform well struggle to maintain efficiency at scale and face difficulties in real-world environments. A significant number of proof-of-concept initiatives for 'digital transformation' either fail or take considerably longer to reach the market than anticipated, underscoring the complexities involved in this process. Consequently, a strategic approach is essential to navigate these hurdles and ensure successful implementation.
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
Pratexo
Founded
2019
Country
United States
Website
pratexo.com
Vendor Details
Company Name
Riverbed
Founded
2002
Country
United States
Website
www.riverbed.com/products/application-performance-monitoring/
Product 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
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