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What is Selector Analytics?

Selector's software-as-a-service utilizes advanced machine learning and natural language processing to provide self-service analytics that enable quick access to actionable insights, leading to a remarkable reduction in mean time to resolution (MTTR) by up to 90%. The groundbreaking Selector Analytics platform harnesses artificial intelligence alongside machine learning to execute three vital functions, providing network, cloud, and application operators with essential insights. It consolidates data from a vast array of sources, such as configurations, alerts, metrics, events, and logs, which can include information from router logs, device performance statistics, or the settings of devices across the network. After collecting this data, the system normalizes, filters, clusters, and correlates it through established workflows to produce actionable insights. Following this, Selector Analytics employs machine learning-based data analysis to scrutinize metrics and events, facilitating the automated identification of anomalies. This process allows operators to quickly pinpoint and resolve issues, thereby improving overall operational efficiency. By adopting this thorough methodology, organizations not only enhance their data processing capabilities but also gain the ability to make informed decisions driven by real-time analytics. Ultimately, this empowers teams to respond to challenges proactively and adapt swiftly to the dynamic landscape of their operations.

What is PhantomJS?

PhantomJS is a versatile, scriptable web browser that runs without a graphical interface across various operating systems, such as Windows, macOS, Linux, and FreeBSD, utilizing QtWebKit for its rendering engine. This tool excels in executing a wide range of web standards, providing efficient support for DOM manipulation, CSS selectors, JSON handling, as well as rendering for Canvas and SVG. Thanks to its robust features, PhantomJS is ideal for numerous applications, including automating web pages, capturing screen content, testing websites without requiring a visual display, and even monitoring network traffic. For example, users can create a simple script that opens a webpage and captures it as an image file for future use. Furthermore, its adaptability enables developers to integrate PhantomJS seamlessly into broader testing frameworks or automation workflows, enhancing their overall efficiency. This capability makes it a preferred choice for those looking to streamline their web-related tasks.

Media

Media

Integrations Supported

Amazon CloudWatch
Apache Kafka
Elastic Cloud
GitLab
Humio
Jira
Microsoft Azure
New Relic
Prometheus
ServiceNow
Splunk Cloud Platform
Syslog-ng
Zabbix

Integrations Supported

Canvas
JavaScript
Jenkins
Mocha
PHP
jQuery
trifleJS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

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
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Selector

Company Location

United States

Company Website

www.selector.ai/product/

Company Facts

Organization Name

PhantomJS

Date Founded

2010

Company Location

United States

Company Website

phantomjs.org

Categories and Features

AIOps

Not specified

Network Monitoring

Not specified

Categories and Features

Headless Browsers

Not specified

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