Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Measurements are always subject to deviations from their true values, a phenomenon known as measurement uncertainty, especially when assessing or calibrating measurement tools or methodologies. To ensure quality control, it is essential to accurately quantify this uncertainty. GUMsim®, which adheres to the latest Guide to the Expression of Uncertainty in Measurement (GUM) and its supplement 1, utilizes sophisticated computational algorithms that facilitate a more effective determination of measurement uncertainty in line with ISO/IEC 17025 standards. The process of determining measurement uncertainty involves a mathematical relationship and statistical analysis of all variables influencing the measurement outcomes. To streamline this process, GUMsim provides a user-friendly input environment designed for various measurement models. Additionally, it offers a range of pre-defined application models that function as templates tailored to assist you in conducting specific evaluations, making it easier to embark on your measurement uncertainty assessments. This feature not only enhances the user experience but also encourages consistency in measurement practices across different applications.
Description
Minimize downtime to secure customer confidence. NetHavoc revolutionizes performance engineering and qualitative delivery on an extensive scale. Address uncertainties proactively to prevent them from becoming obstacles in real-time scenarios. By intentionally disrupting application infrastructure, NetHavoc creates chaos within a controlled environment. Chaos engineering outlines a methodology to observe how an application reacts to failures, thereby enhancing its robustness. The goal is to ensure that application infrastructure remains resilient during production through early detection and investigation. Identify vulnerabilities within the application to reveal hidden threats and reduce uncertainties. Prevent failures that could affect user experiences. Manage CPU core usage effectively and validate real-time scenarios by introducing various forms of disruption multiple times at the infrastructure layer. Effortlessly implement chaos using the API and an agentless approach, allowing users to specify either a particular time or a random time frame for the disruptions to be applied. Ultimately, this strategy not only enhances application reliability but also fosters a culture of continuous improvement and adaptability in the face of unpredictable challenges.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Docker
No
Google Cloud Platform
No
Kubernetes
No
Microsoft Azure
No
Integrations
Amazon Web Services (AWS)
Yes
Docker
Yes
Google Cloud Platform
Yes
Kubernetes
Yes
Microsoft Azure
Yes
Pricing Details
€870 one-time payment
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
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
QuoData
Country
Germany
Website
www.quodata.de/gumsim
Vendor Details
Company Name
NetHavoc
Country
United States
Website
www.cavisson.com/nethavoc-resilience-testing-solution/
Product Features
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
Yes
Survival Analysis
No
Time Series
No
Visualization
No