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Description
Backbone.js provides a framework for web applications by facilitating models that utilize key-value binding and custom event systems, collections that come equipped with a comprehensive API for enumerable functions, views that employ declarative event management, and seamlessly integrates with your existing API through a RESTful JSON interface. When developing a web application that heavily relies on JavaScript, a fundamental lesson is to avoid directly linking your data to the DOM. It can be all too common for JavaScript applications to devolve into a chaotic mix of jQuery selectors and callbacks, all struggling to maintain data synchronization between the HTML interface, your JavaScript code, and the server-side database. For creating dynamic client-side applications, adopting a more organized methodology is often beneficial. Backbone allows you to model your data as Models that can be created, validated, destroyed, and stored on the server, thereby streamlining the development process. This structured approach not only enhances maintainability but also improves the overall efficiency of your application.
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon CloudWatch
No
CodeLobster IDE
Yes
CoreIDE
Yes
Dynatrace
No
GitHub
No
GitLab
No
Humio
No
Jira
No
Microsoft Azure
No
Microsoft Teams
No
Integrations
Amazon CloudWatch
Yes
CodeLobster IDE
No
CoreIDE
No
Dynatrace
Yes
GitHub
Yes
GitLab
Yes
Humio
Yes
Jira
Yes
Microsoft Azure
Yes
Microsoft Teams
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Backbone.js
Website
backbonejs.org
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Product Features
Product Features
Network Monitoring
Bandwidth Monitoring
No
Baseline Manager
No
Diagnostic Tools
No
IP Address Monitoring
No
Internet Usage Monitoring
No
Real Time Analytics
No
Resource Management
No
SLA Monitoring
No
Server Monitoring
No
Uptime Monitoring
No
Web Traffic Reporting
No
