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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 Emotion?

Emotion is a versatile and efficient CSS-in-JS library designed for creating CSS styles through JavaScript, supporting both string and object styles while enhancing the developer experience with features like source maps, labels, and testing utilities. It offers two powerful usage patterns; the first is a framework-agnostic approach that requires no special configuration yet allows for vendor-prefixing, nested selectors, media queries, and class composition via its CSS and CX functions. The second approach is finely tuned for React, providing advanced features such as the CSS prop for direct styling, similar to the style prop, but with improved capabilities for nested selectors, media queries, and theming support. This React-oriented method also enables effortless server-side rendering without additional setup, includes native theming options, and maintains full compatibility with ESLint tools. Moreover, Emotion includes styled-component-like APIs that facilitate both tag-based and component-based styled elements, supporting dynamic styling based on props. These various features and flexible implementations make Emotion an attractive option for developers looking to optimize their styling workflows across multiple frameworks, ultimately enhancing productivity and creativity in web design.

Media

Media

Integrations Supported

Apache Kafka
Dynatrace
Elastic Cloud
GitHub
GitLab
Grafana Cloud
Humio
Jira
Microsoft Teams
New Relic
PagerDuty
PostgreSQL
Prometheus
ServiceNow
Slack
Syslog-ng
Zabbix

Integrations Supported

CSS
JavaScript
React

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

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

Emotion

Company Location

United States

Company Website

emotion.sh/docs/introduction

Categories and Features

AIOps

Not specified

Network Monitoring

Not specified

Categories and Features

JavaScript Libraries

Not specified

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