Introducing Advanced Reporting in Steadybit: Turn Reliability Testing into Measurable Progress

Chaos engineering has always been about learning. But learning only creates value when you can measure it, share it, and act on it.

Today, we’re excited to introduce Advanced Reporting in Steadybit: a powerful new way to track reliability improvements, visualize chaos engineering activity, and demonstrate progress across your organization. Instead of relying on isolated experiment results, teams can now see how reliability evolves over time and use data to drive smarter resilience decisions. Prefer to see it in action? Check out the video below.

Reliability Is a Journey, Not a Snapshot

Running experiments is only one part of building resilient systems. The bigger challenge is understanding whether those experiments are actually reducing risk and improving operational readiness.

With Steadybit’s new reporting capabilities, platform engineers, SREs, and engineering leaders gain visibility into:

• Reliability risk trends over time
• Experiment activity across teams
• Issues discovered and resolved through testing
• Adoption of chaos engineering practices
• Progress toward organizational resilience goals

The result is a clearer picture of where your reliability program stands today, and where it should go next.

Track Reliability Risk Over Time

One of the most exciting additions is the ability to monitor service reliability risk historically.

Instead of asking, “How risky is this service right now?”, teams can now answer:

• Are we becoming more resilient?
• Which services are improving?
• Where are new risks emerging?
• Which reliability categories need more investment?

New Service Risk reports provide insights such as:

Average Risk Over Time

Monitor the overall reliability posture of your services with a single trend line. This makes it easy to communicate progress to stakeholders and quickly identify regressions before they become incidents.

Risk Distribution

See how services are distributed across low, medium, and high-risk categories. As your reliability efforts mature, you can visibly demonstrate services moving toward healthier risk levels.

Risk by Category

Not all reliability challenges are the same. Break down risk across dimensions such as redundancy, scalability, and dependencies to identify where engineering investments will have the greatest impact.

Make Chaos Engineering Activity Visible

Great resilience programs require momentum. Reporting helps teams understand how chaos engineering is being adopted throughout the organization.

The new Experiment Run reports provide visibility into:

• Total experiment execution volume
• Most frequently used attack types
• Experiment triggers (UI, API, CLI, schedules)
• Success and failure trends
• Issues discovered
• Issues fixed

This data helps identify successful adoption patterns while highlighting teams that may need additional support or enablement.

Connect Experiments to Real Outcomes

Perhaps the most valuable metric isn’t how many experiments were executed: it’s what was learned.

Advanced Reporting introduces dedicated views for:

Issues Discovered

Quickly identify experiments that revealed previously unknown weaknesses. Failed experiments are often where the most valuable reliability insights emerge.

Issues Fixed

Track the path from discovery to improvement by measuring when previously failing experiments begin succeeding. This creates a measurable feedback loop that demonstrates the impact of resilience work.

Understand How Teams Build Experiments

Reporting doesn’t stop at execution metrics.

New experiment creation insights show:

• How many experiments have been designed
• Whether teams prefer UI, API, or CLI workflows
• Which creation methods are most popular
• Adoption of templates and best practices

These insights help platform teams improve enablement strategies and encourage consistent reliability practices across engineering organizations.

Measure Adoption Across the Organization

Building resilience is a team sport.

Advanced Reporting includes organizational adoption metrics covering:

• Users
• Teams
• Environments

These reports make it easy to demonstrate rollout progress and showcase how chaos engineering is spreading throughout the company.

Built for Sharing

Data is only useful when it’s accessible.

Every report can be exported and shared, making it simple to:

• Present progress to leadership
• Review reliability trends with engineering teams
• Support quarterly planning discussions
• Showcase resilience improvements during audits and reviews

Whether you need raw data analysis or executive-ready summaries, reporting makes it easy to communicate the value of your reliability efforts.

Start Measuring What Matters

Chaos engineering shouldn’t end when an experiment completes.

With Advanced Reporting, Steadybit helps teams transform individual experiment runs into a continuous story of reliability improvement. From tracking service risk and uncovering hidden weaknesses to measuring adoption and sharing outcomes, Reporting provides the visibility needed to turn resilience work into measurable business value.

Ready to see your reliability journey unfold over time?

Explore the new Reporting capabilities in Steadybit and start turning every experiment into actionable insight.