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What is Riverbed Portal?

Navigating the complexities of performance visibility in modern IT environments is often a daunting task, especially for applications that span traditional data centers, SaaS, and IaaS cloud infrastructures. A traditional management strategy that operates in silos typically results in an incomplete and fragmented view of performance metrics. As a result, IT teams may invest a considerable amount of time in analyzing data, leading to conflicting and sometimes contradictory conclusions about the underlying causes of performance challenges. The Riverbed Portal effectively addresses these challenges by integrating performance telemetry into a cohesive and dynamic overview of performance metrics. This holistic view offers IT operations teams a dependable single source of truth, facilitating more streamlined troubleshooting and providing invaluable insights for stakeholders throughout the organization. By doing so, IT can more effectively oversee and optimize applications, data, and traffic across the entire hybrid network. This capability not only enables key resources to focus on high-priority strategic projects but also diminishes the chances of performance disputes arising. Furthermore, by enhancing the clarity surrounding performance, teams are empowered to make data-driven decisions that promote greater efficiency and effectiveness throughout the enterprise, ultimately supporting the overall business objectives.

What is Prometheus?

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements.

Media

Media

Integrations Supported

Azure Marketplace

Integrations Supported

Azure Marketplace
Confluence
Healthchecks.io
I&B monitoring
IBM Instana
JFrog Xray
JHipster
ManageEngine Applications Manager
Netdata
NeuBird
Observe
ObserveNow
Observo AI
OpsVerse
Pro Edition for Eclipse Mosquitto
QueryPie
SolarWinds Pingdom
Telegraf
emma
groundcover

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Riverbed

Date Founded

2002

Company Location

United States

Company Website

www.riverbed.com/products/portal/

Company Facts

Organization Name

Prometheus

Date Founded

2012

Company Website

prometheus.io

Categories and Features

Observability

Not specified

Telemetry

Not specified

Categories and Features

Container Monitoring

Not specified

Database

Not specified

Network Monitoring

Not specified

Observability

Not specified

Server Monitoring

Not specified

Telemetry

Not specified

Time Series Databases

Not specified

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