About steadybit
Steadybit is a chaos engineering software from Steadybit that reveals reliability risks early in application systems. It provides integrations, Steadybit Academy, and case studies so teams can build a culture of reliability through easy-to-run chaos experiments. With its intuitive platform, users can test system resilience proactively with controlled experiments, build experiments using no-code actions and templates, and explore and select targets for experimentation. Steadybit also offers guidance on which experiments to conduct first, contributing to informed decision-making. Key capabilities: integrations Steadybit Academy case studies webinars talks & chats Best for: development and operations teams that need to assess and improve application reliability.
Steadybit is a sophisticated chaos engineering tool designed to help organizations proactively test and strengthen the resilience of their software systems by simulating real-world disruptions. The platform allows users to run controlled experiments that simulate various failures, such as network outages, resource exhaustion, and other types of system instability. The goal of these experiments is to observe how systems behave under stress, enabling teams to identify weaknesses and optimize their architecture to better handle unforeseen challenges. This type of testing is particularly valuable in complex, distributed systems, such as those based on microservices or cloud-native environments, where ensuring system reliability is crucial. The user interface of Steadybit is modern and intuitive, with a layout that balances simplicity and functionality. From the main dashboard, users can easily access information about ongoing experiments, as well as review historical data from previous tests. Creating and managing chaos experiments is straightforward, thanks to guided workflows that simplify the process even for those who may be new to chaos engineering.
Pros & Cons
- Comprehensive Chaos Testing: Steadybit offers a wide range of customizable failure scenarios, allowing teams to simulate various types of system disruptions, such as network latency, resource exhaustion, and service unavailability.
- User-Friendly Interface: The platform features an intuitive and easy-to-navigate interface that simplifies the process of creating and managing chaos experiments, making it accessible for both beginners and advanced users.
- Real-Time Monitoring: Integration with monitoring tools like Prometheus and Grafana provides users with real-time feedback on system performance during chaos experiments, making it easier to identify issues and adjust configurations as needed.
- Scalability: Steadybit is well-suited for large, complex systems, making it effective for organizations running cloud-native or microservices-based environments.
- Automated Testing: The ability to automate chaos testing allows teams to integrate Steadybit into their CI/CD pipelines, enabling continuous testing and validation of system resilience.
- Excellent Customer Support: Steadybit offers robust documentation, active community forums, and direct support for troubleshooting, ensuring users have access to the resources they need.
- Flexibility and Customization: The platform allows users to define and simulate custom failure scenarios, which is particularly useful for organizations with unique or highly specialized system configurations.
- Learning Curve for New Users: While Steadybit is user-friendly, chaos engineering itself can be a complex discipline, and new users may face a learning curve when first implementing and designing tests.
- Dependency on Third-Party Monitoring Tools: While Steadybit integrates with various monitoring platforms, it requires these integrations to provide full visibility during chaos experiments, which may add additional complexity for teams without existing monitoring solutions.
- Requires Strong Understanding of System Architecture: To get the most out of Steadybit’s features, teams must have a solid understanding of their system’s architecture and potential points of failure.
Features
Key features
Design and run chaos experiments to test system resilience, simulating real-world failures to identify weak spots in your infrastructure.
Use an intuitive, no-code interface to create and execute experiments, adding targets, actions, and checks easily.
Steadybit continuously discovers your system’s components and their interdependencies, ensuring you start chaos experiments with accurate, up-to-date information.
Controls that limit the scope of chaos experiments, ensuring tests are safely conducted without compromising system integrity.
Access to over 20 pre-built extensions for popular tools and platforms such as AWS, Kubernetes, Datadog, Prometheus, and more, allowing for comprehensive testing.
Steadybit provides an overview of your system’s structure and health, helping teams identify potential risks and areas that need attention.
Manage multiple environments using the query language to segment systems by teams or user roles, ensuring safe testing practices.
Full integration with your CI/CD pipeline through APIs, GitHub actions, and the Steadybit CLI for automating chaos experiments as part of development and deployment cycles.
Steadybit supports the creation of custom extensions using various programming languages, allowing teams to adapt tests to their specific needs.
Support for collaborative chaos engineering through features like experiment writing in JSON or YAML format and real-time collaboration between different teams.
Steadybit is available both as a SaaS solution and as an on-premises installation for air-gapped environments, offering flexible deployment options.
Extensive resources, guides, and tutorials are available for users to learn how to effectively use Steadybit and implement chaos engineering across their organizations.
Integrated with testing frameworks to prevent unintentional damage and enforce safe, controlled testing practices during experiments.
Steadybit enables proactive incident prevention by identifying system vulnerabilities early in the development process before they impact production.
Schedule and automate chaos experiments to run during build or deployment jobs, ensuring continuous testing of system resilience.
Additional features
Design and run chaos experiments to test system resilience, simulating real-world failures to identify weak spots in your infrastructure.
Use an intuitive, no-code interface to create and execute experiments, adding targets, actions, and checks easily.
Steadybit continuously discovers your system’s components and their interdependencies, ensuring you start chaos experiments with accurate, up-to-date information.
Controls that limit the scope of chaos experiments, ensuring tests are safely conducted without compromising system integrity.
Access to over 20 pre-built extensions for popular tools and platforms such as AWS, Kubernetes, Datadog, Prometheus, and more, allowing for comprehensive testing.
Steadybit provides an overview of your system’s structure and health, helping teams identify potential risks and areas that need attention.
Manage multiple environments using the query language to segment systems by teams or user roles, ensuring safe testing practices.
Full integration with your CI/CD pipeline through APIs, GitHub actions, and the Steadybit CLI for automating chaos experiments as part of development and deployment cycles.
Steadybit supports the creation of custom extensions using various programming languages, allowing teams to adapt tests to their specific needs.
Support for collaborative chaos engineering through features like experiment writing in JSON or YAML format and real-time collaboration between different teams.
Steadybit is available both as a SaaS solution and as an on-premises installation for air-gapped environments, offering flexible deployment options.
Extensive resources, guides, and tutorials are available for users to learn how to effectively use Steadybit and implement chaos engineering across their organizations.
Integrated with testing frameworks to prevent unintentional damage and enforce safe, controlled testing practices during experiments.
Steadybit enables proactive incident prevention by identifying system vulnerabilities early in the development process before they impact production.
Schedule and automate chaos experiments to run during build or deployment jobs, ensuring continuous testing of system resilience.
Design and run chaos experiments to test system resilience, simulating real-world failures to identify weak spots in your infrastructure.
Use an intuitive, no-code interface to create and execute experiments, adding targets, actions, and checks easily.
Steadybit continuously discovers your system’s components and their interdependencies, ensuring you start chaos experiments with accurate, up-to-date information.
Controls that limit the scope of chaos experiments, ensuring tests are safely conducted without compromising system integrity.
Access to over 20 pre-built extensions for popular tools and platforms such as AWS, Kubernetes, Datadog, Prometheus, and more, allowing for comprehensive testing.
Steadybit provides an overview of your system’s structure and health, helping teams identify potential risks and areas that need attention.
Manage multiple environments using the query language to segment systems by teams or user roles, ensuring safe testing practices.
Full integration with your CI/CD pipeline through APIs, GitHub actions, and the Steadybit CLI for automating chaos experiments as part of development and deployment cycles.
Steadybit supports the creation of custom extensions using various programming languages, allowing teams to adapt tests to their specific needs.
Support for collaborative chaos engineering through features like experiment writing in JSON or YAML format and real-time collaboration between different teams.
Steadybit is available both as a SaaS solution and as an on-premises installation for air-gapped environments, offering flexible deployment options.
Extensive resources, guides, and tutorials are available for users to learn how to effectively use Steadybit and implement chaos engineering across their organizations.
Integrated with testing frameworks to prevent unintentional damage and enforce safe, controlled testing practices during experiments.
Steadybit enables proactive incident prevention by identifying system vulnerabilities early in the development process before they impact production.
Schedule and automate chaos experiments to run during build or deployment jobs, ensuring continuous testing of system resilience.
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About steadybit
Steadybit is a chaos engineering software from Steadybit that reveals reliability risks early in application systems. It provides integrations, Steadybit Academy, and case studies so teams can build a culture of reliability through easy-to-run chaos experiments. With its intuitive platform, users can test system resilience proactively with controlled experiments, build experiments using no-code actions and templates, and explore and select targets for experimentation. Steadybit also offers guidance on which experiments to conduct first, contributing to informed decision-making. Key capabilities: integrations Steadybit Academy case studies webinars talks & chats Best for: development and operations teams that need to assess and improve application reliability.
steadybit Details
steadybit's In-App Market Place
Does steadybit have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CHF (CHF), CNY (¥), SEK (kr), KRW (₩), INR (₹), RUB (₽), MXN (Mex$), BRL (R$), SGD (S$), HKD (HK$), NOK (kr), TRY (₺)
Pros & Cons
- Comprehensive Chaos Testing: Steadybit offers a wide range of customizable failure scenarios, allowing teams to simulate various types of system disruptions, such as network latency, resource exhaustion, and service unavailability.
- User-Friendly Interface: The platform features an intuitive and easy-to-navigate interface that simplifies the process of creating and managing chaos experiments, making it accessible for both beginners and advanced users.
- Real-Time Monitoring: Integration with monitoring tools like Prometheus and Grafana provides users with real-time feedback on system performance during chaos experiments, making it easier to identify issues and adjust configurations as needed.
- Scalability: Steadybit is well-suited for large, complex systems, making it effective for organizations running cloud-native or microservices-based environments.
- Automated Testing: The ability to automate chaos testing allows teams to integrate Steadybit into their CI/CD pipelines, enabling continuous testing and validation of system resilience.
- Excellent Customer Support: Steadybit offers robust documentation, active community forums, and direct support for troubleshooting, ensuring users have access to the resources they need.
- Flexibility and Customization: The platform allows users to define and simulate custom failure scenarios, which is particularly useful for organizations with unique or highly specialized system configurations.
- Learning Curve for New Users: While Steadybit is user-friendly, chaos engineering itself can be a complex discipline, and new users may face a learning curve when first implementing and designing tests.
- Dependency on Third-Party Monitoring Tools: While Steadybit integrates with various monitoring platforms, it requires these integrations to provide full visibility during chaos experiments, which may add additional complexity for teams without existing monitoring solutions.
- Requires Strong Understanding of System Architecture: To get the most out of Steadybit’s features, teams must have a solid understanding of their system’s architecture and potential points of failure.
steadybit's Support Options
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