Introducing Services in Steadybit to Enable Turnkey Reliability Testing and Risk Assessment

At Steadybit, we enable organizations to learn about their system reliability daily through automatic risk detection and controlled chaos experiments. If you conduct this type of proactive testing, you can improve your resilience and prevent costly outages.

But in practice, making the shift to proactive testing isn’t easy.

With each new alert, reliability engineers are drawn into a series of reactive tasks, from alert triage and root cause analysis to vulnerability patching and resource optimization.  

How can you roll out reliability testing quickly while staying focused on making the most impactful resilience improvements?

Today, we are launching a new feature called Services to solve this challenge. 

Prioritizing Reliability Risks with Defined Services

With the ongoing shift to microservices and the advent of agentic AI, modern software teams are often operating and maintaining dozens or hundreds of services at a time. 

Organizations can gauge their overall reliability posture by assessing the current level of risk that each of their services pose to business operations.

What are Services in Steadybit?

We heard from customers that a service-centric view aligns better with how they approach their daily work and connect proactive reliability work to business value.

By adding services in Steadybit, you can now easily view test coverage, run associated reliability tests with a click, and surface the most business-critical risks.

When you install Steadybit, our agents automatically discover potential targets for experiments (e.g. containers, hosts, Kubernetes deployments). 

To set up services, you can use our query language or UI to define different groups of targets as services.

If you already have a service catalog in a tool like Backstage, you can use the Steadybit API to automate this service creation.

You can also enrich services with additional context using custom properties. For example, it might be helpful to label services by business criticality or include links to external observability dashboards.

With this catalog of services in Steadybit, it’s easy to see which services have sufficient testing coverage and prioritize reliability risks based on potential business impact.

What are Service Profiles?

Once you have defined services in Steadybit, you can instantly pull in relevant experiments by choosing a service profile.

A Service Profile consists of experiment templates organized into use case categories. 

You can assign relevant experiment templates to categories like Scalability, Redundancy, and Dependencies.

When you assign a service profile to a service, you’ll see those experiments queued up in the service view, organized by category tabs. This makes it easy to rapidly expand your testing coverage and identify performance gaps faster.

With services and service profiles, you can now roll out chaos engineering across your organization with a flexible turnkey approach.

The Business Impact of Addressing Reliability Risks

With this new service-centric approach, it’ll be easier to connect the dots between chaos experiments and their impact on business operations and uptime.

ROI calculators like this one we released recently estimate the average savings that chaos engineering can deliver as you scale reliability testing coverage.

We’re excited to embed these savings assessments into Steadybit directly so you’ll be able to quantify reliability improvements as you mitigate business risks.

If you want to hear more about the services feature or get a preview of what we’re building next, just reach out to book a call with our team. You can also start a free 30-day trial of Steadybit to explore how our platform enables chaos engineering at scale.