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What is walrus.ai?

We empower individuals to leverage their strengths while allowing machines to perform at peak efficiency. The walrus.ai command-line interface provides the most straightforward way to execute thorough tests on your application. It allows you to set up tests either directly within the command line or through organized YML files. You have the option to submit your tests via our intuitive dashboard or the walrus.ai CLI. Our system transforms your specified instructions into an automated testing framework seamlessly. Test outcomes are readily available through our dashboard, at the command line, or via various integrations. We meticulously monitor each model execution to identify any alterations in the application or possible false failures. By re-verifying your tests, we ensure you won't face misleading results, whether positive or negative. Additionally, you can evaluate even the most complicated user interactions using straightforward language, as we handle all the details for you. This not only streamlines the testing process but also allows you to concentrate on enhancing your application without the burden of testing complexities. Ultimately, our approach fosters a collaborative environment between human creativity and machine efficiency, ensuring optimal results.

What is Gremlin?

Uncover the vital tools needed to build reliable software confidently using Chaos Engineering techniques. Leverage Gremlin's comprehensive array of failure scenarios to run experiments across your entire infrastructure, which includes everything from bare metal and cloud environments to containerized systems, Kubernetes, applications, and serverless frameworks. You can adjust resources by throttling CPU, memory, I/O, and disk performance, reboot machines, end processes, and even simulate time manipulation. Moreover, you can introduce delays in network traffic, create blackholes, drop packets, and mimic DNS outages, ensuring that your code can withstand unexpected issues. It's also crucial to test serverless functions for possible failures and delays to guarantee resilience. In addition, you can confine the impact of these experiments to particular users, devices, or a specified traffic percentage, allowing for targeted evaluations of your system’s strength. This method provides a comprehensive insight into how your software behaves under various stressors, ultimately leading to more robust applications. By embracing this approach, teams can better prepare for real-world challenges and enhance their system reliability over time.

Media

Media

Integrations Supported

GitHub

Integrations Supported

Amazon Web Services (AWS)
Datadog
Docker
Dynatrace
G.V() Gremlin IDE
Graphlytic
Kubernetes
Microsoft Azure
PuppyGraph
Slack
Sprinkle
VMware vSphere

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

walrus.ai

Date Founded

2018

Company Location

United States

Company Website

walrus.ai/

Company Facts

Organization Name

Gremlin

Date Founded

2016

Company Location

United States

Company Website

www.gremlin.com/product/

Categories and Features

Automated Testing

Not specified

Software Testing

Not specified

Categories and Features

Automated Testing

Not specified

Chaos Engineering

Not specified

IT Management

Not specified

Software Testing

Not specified

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