ĢƵ

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ĢƵ vs. AWS Fault Injection Service (FIS)

AWS FIS is great for getting started, but it doesn’t scale. ĢƵ is designed to enable proactive reliability testing across applications, teams, and technologies.

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Why teams go with ĢƵ over AWS FIS

ĢƵ is the only chaos engineering tool that offers open source customization with enterprise-grade features.

Experiments for AWS & Beyond

Experiment on targets across your tech stack, whether it’s SaaS, On-Prem, air-gapped, multi-cloud, serverless… With one agent per network, deployment is simple.

Get Insights Faster

We provide recommended experiments so you can get value from experiments right away. Try a variety of attacks quickly and safely with our library of ready-to-run templates.

Fully Customizable

With an open source extension framework, ĢƵ enables teams to customize the platform to perfectly fit their systems and use cases. Add your own custom actions!

ĢƵ Lowers the Chaos Engineering Learning Curve

With an intuitive, extensible platform; it’s easier to shift left your testing and build a culture of reliability.

Comparing ĢƵ vs. Other Tools

See the exact benefits of reliability testing with ĢƵ compared to other tools like AWS FIS.

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Building Your First Experiment

Watch to see how easy building new experiments can be with ĢƵ.

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Running Your First Experiment

View your experiments run in real-time within the ĢƵ platform.

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Reviewing Reliability Advice

Start making reliability improvements fast by reviewing issues ĢƵ flags automatically.

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Automating Experiment Workflows

Incorporate experiments into your software development however you want by using the ĢƵ API and CLI.

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Make ĢƵ Your Own with Custom Extensions

Add your own custom extensions, checks, attacks, load tests, & advice.

Need a new integration or want to inject a custom fault? With AWS FIS, customization options are limited so you’ll have to submit feature requests and wait for improvements.

With Extension Kits, you can build on top of ĢƵ to create the perfect solution for your organization. Get the benefits of a in-house tool without the maintenance.

Need inspiration? Use our library of 200+ open source actions and templates anytime.

Why SRE & platform teams choose us

Our customers inspire us everyday with new experiment types and custom extensions to really push their systems to the limit.

  • salesforce logo
    "With ĢƵ, we identified issues and took corrective measures, improving our overall system resilience. The efficiency of finding these weak spots has vastly increased with ĢƵ, and the time to deliver a solution has significantly decreased. We're moving closer to achieving our target of 99.99% uptime."

    Krishna Palati

    Director of Software Engineering

  • G2 crowd logo
    "I really benefit from ĢƵ's programmatic scalability and its interesting features like reliability advice, which bolster our chaos engineering strategy and help it grow into a more self-service capacity. The support team is great; they are always eager to assist us, gather requirements for new features, and help with any implementation issues or malfunctions related to their services."

    Angel Daniel B.

    Engineering Lead

  • Rewe Digital logo
    “ĢƵ makes it easy to inject faults and really test our system reliability. Their team delivered a new Kafka extension for us that has unlocked new testing possibilities. They are a supportive partner that has made introducing the platforms to new teams easy.”

    Jan Rundshagen

    Cloud Platform Engineer

  • G2 crowd logo
    "My experience with ĢƵ has been genuinely impressive from day one. The installation was smooth and effortless—we were able to run experiments straight away, which was a huge relief after the challenges we faced with other tools. What really stood out, though, was the team behind it."

    Chaos Engineer

    @ Global Telecom Company

  • manomano
    "ĢƵ's efficiency enabled us to simulate and anticipate incidents, fostering proactive problem-solving across our teams."

    Antoine Choimet

    Site Reliability Engineer

  • Kaizen Gaming logo
    "ĢƵ is helping us move from reactive incident handling to proactive reliability engineering, which is a significant shift for an organization of our size. The ĢƵ team is highly responsive, technically strong, and genuinely invested in our success."

    Ilias Tsakiridis

    Site Reliability Engineering Team Lead

  • G2 crowd logo
    "Effortless chaos experiments with an intuitive interface. I like how easy it is to create and safely run chaos experiments, and how intuitive the interface is. ĢƵ helps identify and fix reliability weaknesses before they become incidents."

    Software Developer

    @ Global Ecommerce Company

  • salesforce logo
    "ĢƵ offers a scalable and performant Chaos Engineering solution that has significantly improved the resilience of our services. If you are seeking a wholistic, end-to-end Chaos Engineering platform, I’d strongly recommend ĢƵ."

    Krishna Palati

    Director of Software Engineering

Transparent Pricing

price icon Predictable Pricing

Our plans are designed so there are no surprise charges as you are rolling out chaos engineering across your organization.
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Open Source Extensions

Open Source Integrations

Sometimes your organization may need proprietary or niche solutions. Leverage our extension kits to gain flexibility and make ĢƵ your own.
Ready to get started

Ready to get started?

Create an free trial to explore the ĢƵ platform up close. We’re happy to answer any specific questions you have. Just reach out.

ĢƵ is designed for seamless testing rollouts

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Targeting and Visualization
Support for On-Premises
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Monitoring & Load Testing
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Query targets to create the exact experiment you want

When you install our agent on your network, ĢƵ will automatically discover any potential experiment targets and pull in related metadata from your environment. With our intuitive query language, you can easily explore targets and view them in an interactive visualization with groups and filters.

AWS FIS doesn’t provide a interactive visualization of your systems. There are limited options for selecting targets for experiments, and no ability to add custom attributes.

on-prem

Leading the industry for On-Prem Chaos Engineering

ĢƵ has always supported both SaaS and On-Prem deployments with full feature parity from Day 1. Our team has helped enterprise customers deploy and update ĢƵ On-Prem for years.

AWS FIS doesn’t support On-Prem deployments. If you have a hybrid architecture, AWS FIS won’t be able to run tests across both resources.

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Bidirectional integrations with popular observability tools

Monitoring and observability tools are key for seeing how your systems perform. ĢƵ has tight integrations with tools like Datadog, Dynatrace, Grafana, Prometheus, Instana, and more. While you watch your experiment run, you’ll be able to see in real-time whether your monitoring tool raises an alert.

AWS FIS has an integration with CloudWatch, but it doesn’t connect seamlessly with popular 3rd-party monitoring tools. It also doesn’t have integrations with load testing tools like K6, JMeter, and Gatling. These gaps make it hard to run the most realistic experiments with the best visibility.

Faster Deployment and an Open Source Framework

AWS FIS is a closed-sourced tool that requires heavy investment in the AWS ecosystem. ĢƵ is a hybrid-source platform designed for customization and easy deployment across a wide variety of targets.

Get a Personalized Demo

Ready to hear more about ĢƵ?

Schedule a demo with our team to see a platform walk-through and get your questions answered.

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