Steadybit is a platform designed to help organizations implement chaos engineering, which involves intentionally introducing disruptions to test the resilience of systems.

How does Steadybit fit into DevOps?

In DevOps, Steadybit enhances the delivery of software by embedding chaos engineering practices into CI/CD pipelines, allowing teams to identify and address potential weaknesses early in the development process.

Why is system reliability important for organizations?

System reliability is crucial for any organization as it ensures consistent performance and availability of services. This is especially vital for organizations that rely heavily on technology to meet customer expectations.

What challenges does Steadybit address in cloud-native systems?

Steadybit addresses challenges in cloud-native systems by helping organizations anticipate outages or slowdowns that can have widespread impacts due to their distributed architecture.

How can organizations successfully implement Steadybit?

To implement Steadybit successfully, organizations should begin by fostering a shift in mindset towards chaos engineering. Once integrated into workflows, Steadybit facilitates continuous testing and improvement of system reliability.

What role does chaos engineering play in enhancing system reliability?

Chaos engineering plays a critical role in enhancing system reliability by systematically exposing weaknesses within systems, allowing teams to proactively address issues before they lead to real-world outages.

What are the key benefits of using Steadybit for chaos engineering?

Steadybit offers several key benefits, including improved system reliability, enhanced detection of weaknesses in applications, and the ability to simulate real-world failure scenarios. By integrating chaos engineering practices into CI/CD pipelines, organizations can proactively identify potential issues before they impact users.

How does Steadybit support teams in measuring the effectiveness of their chaos experiments?

Steadybit provides tools for monitoring and analyzing the outcomes of chaos experiments. Teams can define success criteria and use metrics to assess how well systems withstand disruptions. This data-driven approach helps organizations refine their strategies and improve overall system resilience.

Can Steadybit be integrated with existing monitoring tools?

Yes, Steadybit is designed to work seamlessly with existing monitoring and observability tools. This integration allows teams to leverage their current infrastructure while enhancing it with chaos engineering capabilities, making it easier to track system performance during and after chaos experiments.

What mindset shift is required for organizations adopting Steadybit?

Organizations adopting Steadybit must embrace a mindset that views failures as opportunities for learning rather than setbacks. This cultural shift encourages teams to experiment safely and systematically, fostering an environment where continuous improvement in system reliability is prioritized.

What types of chaos experiments can be conducted using Steadybit?

Steadybit allows organizations to conduct various types of chaos experiments, including network latency simulations, resource exhaustion tests, and service failure scenarios. These experiments help teams understand how their systems respond under adverse conditions and improve overall resilience.

How does Steadybit enhance collaboration among DevOps teams?

Steadybit fosters collaboration among DevOps teams by providing a shared platform for designing, executing, and analyzing chaos experiments. This collaborative environment encourages cross-functional communication and helps break down silos, leading to a more cohesive approach to system reliability.

What is the significance of integrating chaos engineering into CI/CD pipelines with Steadybit?

Integrating chaos engineering into CI/CD pipelines with Steadybit is significant because it enables organizations to test system resilience continuously throughout the development lifecycle. This proactive approach ensures that potential vulnerabilities are identified and addressed early, reducing the risk of outages in production.

Can Steadybit help organizations comply with industry regulations regarding system reliability?

Yes, Steadybit can assist organizations in complying with industry regulations by providing structured chaos engineering practices that demonstrate a commitment to system reliability. By regularly testing and validating system performance under stress, organizations can meet regulatory requirements related to uptime and availability.

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Test your resilience proactively with controlled experiments

Steadybit makes it easy for teams to learn about their systems by running targeted experiments early and often.

Connect seamlessly with your cloud, monitoring, and load testing tools to start running valuable experiments in minutes.

We’ve supported both SaaS and On-Prem deployments since Day 1.

Explore Integrations

Validate Monitoring Alerts

Run scenarios to check your alert coverage and accuracy

Reduce Reliability Risks

Catch reliability issues and fix them before they reach production

Resolve Incidents Faster

Train your team to be able to handle any incident quickly

Explore and select targets for experiments

When you install our agent on your network, Steadybit will automatically discover any potential experiment targets and pull in related metadata from your environment. Our intuitive query language makes it easy to group and filter your targets however you want.

Get advice on what experiments to run first

To help you get started fast, our Reliability Advice feature will provide you with insights on if there are any common reliability issues detected.

You’ll see instructions on how to fix any issues in your code, and then we’ll recommend which experiments would be valuable to run next.

Design, customize, and run experiments

Design full experiments in seconds using templates for popular use cases and our drag-and-drop editor. With our open source framework, you can easily add custom actions and extensions to run any type of experiment you want.

Once you’re happy with an experiment, you can automate your test executions with the Steadybit API or CLI.

Select from a library of use cases and templates

With our no-code experiment editor, you can choose from over a hundred pre-built actions to create and customize experiments fast. You can also easily add your own scripted actions.

Validating monitoring alerts

Run experiments to inject faults and check whether your observability alerts are configured correctly.

Simulating zone outages

Test your redundancy and failover processes to prepare for unexpected cloud outages.

Testing 3rd-party latency

Gauge how system dependencies could impact your application's performance.

Injecting corrupt packets

See how your systems behave when outgoing packets are corrupted.

Reproducing past incidents

Turn incidents into repeatable experiments you can run as regression tests.

Make Steadybit your own with full customization

Tailor the platform to fit your needs with custom extensions, safety controls, experiment templates, and seamless CI/CD integration. Create workflows that align with your processes and ensure safe, efficient experimentation at scale.

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Custom Extensions

Safety Controls

Experiment Templates

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CI/CD Workflows

Create your own custom extensions and actions

Create new extensions with your preferred language, or use our pre-built extensions written in GO
22 pre-built extensions for Kubernetes, AWS, Azure, GCP, Datadog, Dynatrace, Grafana, K6, JMeter, and more
Customize Reliability Advice with the AdviceKit to check for specific issues

Enforce safe testing practices with intuitive controls

Divide systems into designated environments using a powerful query language
Assign environments to specific users and teams with RBAC permissions
Integrate with your SAML provider or using the On-Prem installation with your OIDC provider

Scale experiments across applications with templates

Build new experiments by importing experiment templates for common use cases
Save your experiments as templates so you can use them organization-wide
Contribute experiment templates to the Reliability Hub, our open source library of experiment components

Integrate seamlessly into any CI/CD pipeline

Use our API to easily create teams, configure your workspace, and run experiments
Use our CLI to integrate into your CI/CD pipeline and create the experiments as code
Automatically run experiments on build or deploy jobs

"With Steadybit, we identified issues and corrective measures, improving our overall system resilience. The efficiency of finding these weak spots has vastly increased with Steadybit, 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
“Steadybit 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
"Steadybit enables us to integrate chaos engineering into our daily development practices, thus refocusing our attention on what truly matters to our users. Steadybit's efficiency enabled us to simulate and anticipate incidents, fostering proactive problem-solving across our teams."

Antoine Choimet

Site Reliability Engineer

Deploy and extend Steadybit to perfectly fit your systems

To get started, you will need to install the Steadybit agent on your network and add any of our open source extensions that match your tech stack. Then, you can use the Steadybit platform to view targets, design experiments, and run tests.

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