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What is Skylight?

Skylight functions as a sophisticated profiler tailored for Ruby and Rails applications, converting performance data into actionable insights that allow developers to spend less time troubleshooting and more time enhancing their applications. It classifies endpoints by a metric called "agony," which uniquely combines factors of slowness and usage frequency, helping you pinpoint the areas that will yield the highest returns on your optimization efforts. Through an examination of endpoint graphs, you can precisely identify where slowdowns occur, with the most pronounced bars in these graphs signifying the events that demand your immediate focus. Once you've implemented improvements in your code, redeploying your application is straightforward, with deployment events clearly marked on the overview graph for an easy visual comparison of your adjustments. You have the option to delve into a histogram of response times to uncover rare slowdowns that could skew your overall averages. Furthermore, the tool enables you to compile event sequences based on either time or memory usage, assisting in the detection of potential bottlenecks. This capability allows you to effectively identify your slowest responses, sharpening your attention on the differences between your quickest and slowest responses, which ultimately contributes to a more efficient application. By consistently tracking and optimizing your application, you can guarantee a more seamless user experience and improved performance in the long run, as well as continually adapt to changing user needs and application demands.

What is Bevywise IoT Simulator?

Establish an IoT simulator capable of transmitting real-time messages either within defined ranges or derived from a selection of random values, determined by time and the client. This configuration should replicate dynamic messages in both TEXT and JSON formats, closely resembling genuine IoT devices. It will accommodate four distinct types of dynamic values for message transmission, which include system variables such as timestamps and client identifiers, in addition to random, range, linear, and constant values to facilitate diverse data publication in each sequence, thereby ensuring alignment with actual device behavior. Moreover, you can set up IoT events by utilizing your personalized dataset, which can be uploaded via the CSV Importer feature. Each command sent to the edge device or IoT endpoint will elicit a response from the device once the requested action has been executed. To craft realistic scenarios, you can implement behavior simulation, an automated response mechanism that reacts to subscribers based on the messages and topics it encounters. When a simulation request is received, the connected virtual devices will commence data publishing to the specified endpoint, thereby effectively mirroring real-world interactions within the IoT framework. This comprehensive setup significantly elevates the realism of the simulations, enabling a more precise representation of the dynamics within the IoT ecosystem and fostering enhanced testing and development opportunities.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Ruby
Ruby on Rails
Salesforce

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Ruby
Ruby on Rails
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

$20 per month
Free Trial Offered?
Free Version

Pricing Information

$599 per year
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Skylight

Company Website

www.skylight.io

Company Facts

Organization Name

Bevywise Networks

Date Founded

2016

Company Location

United States

Company Website

www.bevywise.com/iot-simulator/

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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