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.
ĢƵ is the only chaos engineering tool that offers open source customization with enterprise-grade features.
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.
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.
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!
With an intuitive, extensible platform; it’s easier to shift left your testing and build a culture of reliability.
See the exact benefits of reliability testing with ĢƵ compared to other tools like AWS FIS.
Read MoreWatch to see how easy building new experiments can be with ĢƵ.
Read MoreView your experiments run in real-time within the ĢƵ platform.
Read MoreStart making reliability improvements fast by reviewing issues ĢƵ flags automatically.
Read MoreIncorporate experiments into your software development however you want by using the ĢƵ API and CLI.
Read More
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.
Our customers inspire us everyday with new experiment types and custom extensions to really push their systems to the limit.
Director of Software Engineering
Engineering Lead
Cloud Platform Engineer
@ Global Telecom Company
Site Reliability Engineer
Site Reliability Engineering Team Lead
@ Global Ecommerce Company
Director of Software Engineering
Create an free trial to explore the ĢƵ platform up close. We’re happy to answer any specific questions you have. Just reach out.
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.
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.
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.
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.
Schedule a demo with our team to see a platform walk-through and get your questions answered.