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Software health indicators: What to track and why

DevX
DevOps
Engineering leadership
Software health indicators: What to track and why
Megan Dorcey
|
July 9, 2025

What is software health?

Software health describes the overall condition of software systems and practices used to build and operate them. It encompasses technical robustness, operational reliability, delivery efficiency, and team sustainability. Healthy software isn't just functional; it's maintainable, scalable, and supports long-term productivity.

Unlike basic metrics, software health considers multiple dimensions:

  • Technical robustness: Code quality, technical debt, and architecture sustainability
  • Operational reliability: System uptime, incident frequency, and recovery speed
  • Delivery efficiency: Development speed and predictability
  • Team sustainability: Developer satisfaction and work environment quality

Why tracking software health matters for engineering teams

Tracking software health provides insights that drive improvements, resulting in more stable systems, increased development velocity, and enhanced business agility.

Here's the impact before and after implementing software health tracking:

Metric Before Tracking After Tracking
Development velocity Inconsistent, often slowed by issues Predictable, fewer roadblocks
Incident frequency Unpredictable, increasing Reduced, manageable
Developer satisfaction Unmeasured, declining silently Visible, improving
Business agility Limited by constraints Enhanced by reliable systems

Common hurdles in measuring engineering metrics

Teams often face challenges such as data fragmentation, metric overload, cultural resistance, and inconsistent processes. Platforms like OpsLevel help overcome these by automating data collection and enforcing consistent software standards.

Essential software health indicators to monitor

DORA metrics

  • Deployment Frequency
  • Lead Time for Changes
  • Change Failure Rate
  • Mean Time to Recovery (MTTR)

Incident and reliability metrics

  • Incident frequency
  • Service Level Objectives (SLOs)
  • Error budgets
  • User impact measurement

Code quality and technical debt

  • Test coverage
  • Code complexity
  • Technical debt estimates
  • Code review thoroughness

OpsLevel’s automated checks ensure code standards compliance and visibility into technical debt.

Developer experience and team morale

  • Developer satisfaction
  • Cognitive load
  • Onboarding time
  • Knowledge sharing

How to implement a scorecard framework

Define key metrics

Choose 5-7 metrics aligned with your organizational goals, including both technical and team-focused measures.

Automate data collection

Connect tools like CI/CD, issue trackers, version control, and monitoring systems to automate metric collection and ensure sustainability.

Visualize and share results

Create dashboards with clear trends and review metrics regularly to foster transparency. Leverage tools like Jellyfish and render data in OpsLevel via custom widgets so the entire team has access to the results.

Actionable steps to drive continuous improvement

Prioritize based on insights

Identify the biggest gaps between current performance and targets. Investigate root causes and focus on meaningful improvements.

Establish clear ownership

Assign owners with authority for each metric and regularly check progress to maintain momentum.

Celebrate and reinforce successes

Recognize teams publicly for improvements, reinforcing a culture of continuous learning and accountability.

Building a culture of accountability and autonomy

Effective software health measurement empowers teams with visibility and standards without constraining their autonomy. Platforms like OpsLevel help set clear, automated standards while allowing flexibility and creativity in achieving outcomes.

Ready to gain deep visibility into your software health and enforce standards effortlessly? Request an OpsLevel demo.

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Frequently asked questions about software health indicators

How do you measure software product health?

‍Balanced metrics covering delivery speed, stability, code quality, and team experience provide a comprehensive software health view.

How can small teams measure software health?

‍Start small with 2-3 core metrics using existing tools to gradually automate and sustain data collection.

What’s the link between software health and business outcomes?

‍Healthy software supports faster feature delivery, fewer disruptions, and consistent user experiences, directly improving business results.

How frequently should metrics be reviewed?

‍Operational metrics weekly, broader health metrics monthly, and the overall measurement framework quarterly ensure continued relevance and impact.

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