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What is MIT-E Pf?

Effectively showcase the capabilities of your IoT platform to potential customers with MIT-E Pf, a cloud-native solution that assesses the performance and scalability of IoT platforms through 20 unique tests, measuring up to 67 metrics for each workload. In addition, MIT-E UX, our benchmarking service focused on user experience for IoT platforms, provides data-driven insights that enable you to compare a proof of concept built on your platform with one developed on a competitor's system. With numerous self-identified IoT platforms in the market, the most dependable way to evaluate their capabilities is through practical usage. MIT-E goes beyond mere comparisons of various IoT platforms; it produces thousands of data points that analyze 120 workflows for both developers and operators. MachNation performs assessments on a range of both proprietary and publicly accessible platforms, supporting activities such as mergers and acquisitions, enhancing competitive intelligence, and shaping future product strategies. By leveraging either standardized or customized tests, MachNation’s evaluators conduct in-depth, hands-on evaluations of the functionality and user-friendliness of any IoT solution, ensuring that you gain a comprehensive perspective on its advantages and limitations. This meticulous scrutiny not only equips you with the knowledge necessary to make strategic choices but also helps you identify which platform aligns best with your specific requirements. Ultimately, such insights can significantly impact your decision-making process in the rapidly evolving IoT landscape.

What is Artillery?

Artillery serves as a robust platform tailored for both performance and reliability testing, equipping teams with the necessary tools to ensure their applications are not only fast but also dependable through an all-in-one suite that includes load testing, scalable Playwright end-to-end testing, and real-time production monitoring. This cutting-edge toolkit is designed with user-friendliness in mind, allowing for easy adoption and smooth integration with a variety of coding agents. Engineering teams utilize Artillery to boost the performance and durability of their applications when faced with significant loads, capitalizing on their existing skills in TypeScript and JavaScript to assess a broad spectrum of components, ranging from APIs to full browser experiences. With support for multiple technologies such as HTTP APIs, WebSocket and Socket.io services, SOAP, GraphQL, and complex web applications using real browsers, Artillery addresses a wide array of testing requirements. Furthermore, its integrated distributed load testing functionality enables teams to perform large-scale, cloud-based, and multi-regional tests across platforms like AWS Lambda, AWS Fargate, or Azure Container Instances without the burden of managing infrastructure. By simplifying the testing workflow, Artillery allows teams to prioritize innovation while ensuring their applications consistently deliver high-quality performance, ultimately driving greater business success.

Media

Media

Integrations Supported

Integrations Supported

AWS CodeBuild
AWS Fargate
AWS Lambda
Amazon CloudWatch
Azure Container Instances
Azure DevOps
CircleCI
Datadog
GitHub Actions
GitLab
GraphQL
Honeycomb
InfluxDB
Jenkins
New Relic
PagerDuty
PostHog
Slack
Splunk Cloud Platform
Tracetest

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$199 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

MachNation

Date Founded

2014

Company Location

United States

Company Website

www.machnation.com

Company Facts

Organization Name

Artillery

Company Location

United States

Company Website

www.artillery.io

Categories and Features

Performance Testing

API Testing
Benchmarking
Debugging
Historical Reporting
Load Testing
Mobile Testing
Regression Testing

Categories and Features

Load Testing

Not specified

Performance Testing

Not specified

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