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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 MonitorWiz?

MonitorWiz is an advanced application specifically created to track modifications on web pages. Its standout feature is the high level of precision it offers in detecting changes, enabling users to concentrate on specific areas of a page, irrespective of their dimensions, ensuring that every alteration is captured. The application utilizes CSS Selectors, which are snippets of text that web browsers leverage to identify and style various elements on web pages, allowing MonitorWiz to effectively focus on the sections that need monitoring. By properly configuring these CSS Selectors, users can ensure absolute accuracy in change detection on websites. This capability positions MonitorWiz as an indispensable resource for individuals who require detailed supervision of digital content, making it invaluable for professionals and enthusiasts alike. Furthermore, its user-friendly interface enhances the overall experience, making it accessible even for those who may not be tech-savvy.

Media

Media

Integrations Supported

Amazon CloudWatch
Dynatrace
Elastic Cloud
GitLab
Google Cloud Platform
Grafana Cloud
Humio
Microsoft Azure
Microsoft Teams
MongoDB
New Relic
PagerDuty
PostgreSQL
Prometheus
ServiceNow
Slack
SolarWinds Access Rights Manager
Splunk Cloud Platform
Syslog-ng
Zabbix

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard 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

Gugila

Date Founded

2008

Company Location

Slovenia

Company Website

www.gugila.com

Categories and Features

AIOps

Not specified

Network Monitoring

Not specified

Categories and Features

Website Monitoring

Availability Testing
Event Logs
Event-Based Notifications
Real Time Monitoring
Transaction Monitoring
Uptime Reporting

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