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Average Ratings 0 Ratings
Description
Seamlessly integrates with applications without requiring any code alterations while gathering performance metrics in a non-intrusive manner. It ensures high throughput to maintain an exceptional user experience. Utilizing AI-driven threshold detection and machine learning with historical data, it effectively identifies root causes of issues. Additionally, it offers O&M data query APIs and collection standards, facilitating independent development efforts. Features such as application auto-discovery, transaction analysis, and Apdex metrics are employed to uncover issues and enhance user satisfaction. It supports popular Java frameworks, web containers, communication protocols, and databases, allowing straightforward access to applications without code modifications. Full-stack tracing monitors messages from web browsers all the way to servers and databases, providing detailed code-level operational maintenance. APM delivers not only application performance tracking but also comprehensive topology views, enabling real-time application monitoring and swift fault diagnosis. Ultimately, this creates a robust environment for optimizing application performance and user engagement.
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
Huawei Cloud
Kubernetes
MSC Apex
MetricFire
Microsoft Azure
NextDNS
Open Container Initiative (OCI)
Integrations
Amazon Web Services (AWS)
Docker
Google Cloud Platform
Huawei Cloud
Kubernetes
MSC Apex
MetricFire
Microsoft Azure
NextDNS
Open Container Initiative (OCI)
Pricing Details
$136 per month
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
Huawei Cloud
Founded
1987
Country
China
Website
www.huaweicloud.com/intl/en-us/product/apm.html
Vendor Details
Company Name
Riverbed
Founded
2002
Country
United States
Website
www.riverbed.com/products/application-performance-monitoring/
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
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