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What is NetHavoc?

Minimizing downtime is essential for maintaining customer trust. NetHavoc transforms the landscape of performance engineering and qualitative delivery on a broad scale. By proactively addressing uncertainties, it prevents these issues from evolving into significant obstacles in real-time situations. Through intentional disruptions of application infrastructure, NetHavoc generates chaos within a regulated environment. This chaos engineering strategy is designed to analyze how applications respond to failures, thus boosting their overall resilience. The objective is to maintain robust application infrastructure during production by facilitating early detection and thorough investigation of potential issues. It is crucial to pinpoint vulnerabilities within the application to uncover hidden threats and mitigate uncertainties. By averting failures that could negatively impact user experiences, organizations can ensure smoother operations. Effective management of CPU core utilization and validation of real-time scenarios are achieved by introducing varied disruptions at the infrastructure level multiple times. Chaos can be seamlessly implemented via the API and an agentless method, allowing users to select either a specific or random timeframe for disruptions to occur. This comprehensive approach not only improves application reliability but also nurtures a culture of continuous enhancement and agility when faced with unforeseen challenges, ultimately leading to better service delivery and customer satisfaction.

What is GUMsim?

Measurements inevitably experience variations from their true values, a scenario referred to as measurement uncertainty, which is particularly relevant when evaluating or calibrating measurement instruments or methods. Accurately quantifying this uncertainty is crucial for maintaining quality control. GUMsim®, compliant with the most recent Guide to the Expression of Uncertainty in Measurement (GUM) and its supplement 1, employs advanced computational algorithms that support a more efficient assessment of measurement uncertainty in accordance with ISO/IEC 17025 standards. The assessment of measurement uncertainty relies on a mathematical framework and statistical evaluation of all factors that affect measurement results. To simplify this procedure, GUMsim offers an intuitive input interface suitable for various measurement models. Furthermore, it includes multiple pre-defined application models, which serve as templates designed to aid users in carrying out specific evaluations, facilitating the initiation of measurement uncertainty assessments. This aspect not only improves the overall user experience but also promotes uniformity in measurement practices across diverse applications, ultimately reinforcing the reliability of measurement results. As a result, users can approach their uncertainty evaluations with greater confidence and efficiency.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure

Integrations Supported

Amazon Web Services (AWS)
Docker
Google Cloud Platform
Kubernetes
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€870 one-time payment
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

NetHavoc

Company Location

United States

Company Website

www.cavisson.com/nethavoc-resilience-testing-solution/

Company Facts

Organization Name

QuoData

Company Location

Germany

Company Website

www.quodata.de/gumsim

Categories and Features

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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