← Back to Insights

Incident response

Mitigate First, Fix the Root Cause After

Written by:Better SoftwareBetter Software TeamUpdated 6 min read
Mitigate First, Fix the Root Cause After

Quick Answer

Mitigation restores service quickly with temporary, reversible measures, while a fix removes the root cause after the incident settles. During an incident, restoring service comes first, because full analysis, code changes and testing are slow and risky under pressure. A ten-step process separates impact assessment, mitigation, documentation, root cause analysis and scheduled remediation. Treating a mitigation as resolved invites the same incident to return.

Incident response prioritizes service restoration. Mitigation involves temporary measures to alleviate symptoms and restore functionality. Fixing addresses the root cause, eliminating the problem's source. Operational stability during an incident dictates immediate mitigation. Full remediation follows in a calmer operational state.

Why Mitigation Comes Before Remediation

Production incidents create immediate pressure to reduce impact. Stakeholders demand rapid service resumption. Direct causation paths for deep problems are often unclear during an incident. Full fixes require comprehensive analysis, code changes, and testing. These activities are slow and introduce risk under duress. Mitigation focuses on known operational levers. It restores service without full understanding of the underlying failure modes. This preserves service level objectives (SLOs) and customer trust.

A Step by Step Mitigation and Fix Process

  1. Assess Impact and Urgency. Determine the immediate blast radius. Quantify affected users, transactions, or data. How critical is the failing service component?
  2. Identify Potential Mitigation Paths. Brainstorm quick, reversible actions. Examples include rolling back deployments, restarting services, throttling traffic, or failing over to a redundant system.
  3. Evaluate Mitigation Effectiveness. Can the proposed mitigation restore service within minutes to hours? Does it significantly reduce impact? Prioritize methods with high confidence and low side effects.
  4. Implement Mitigation. Execute the chosen mitigation strategy. Monitor key metrics for service recovery. Confirm the incident state shifts from active to mitigated.
  5. Document Mitigation Details. Record the mitigation actions, their timing, and observed effects. This aids in identifying systemic issues later.
  6. Initiate Root Cause Analysis (RCA). After service is stable, begin a separate RCA process. This aims to understand the deeper problem.
  7. Develop Full Remediation Plan. Based on RCA findings, design a permanent fix. This involves code changes, infrastructure updates, or process improvements.
  8. Prioritize and Schedule Remediation. Integrate the fix into planned engineering work. Consider its urgency relative to other backlog items. Factor in resource availability.
  9. Implement Full Remediation. Deploy the permanent fix. Follow standard change management procedures. Monitor post-deployment behavior for correctness.
  10. Verify Solution Stability. Confirm the fix resolved the underlying issue. Ensure no new problems were introduced.

We would keep mitigation and remediation as two separate tracks in product engineering work on production systems.

A Practical Example With Connection Exhaustion

A high-traffic e-commerce service experiences intermittent 500 errors. Latency spikes and transaction failures increase. Initial monitoring indicates database connection pool exhaustion on a specific service instance.

Incident Mitigation. The on-call engineer identifies the problematic instance. They restart the service on that instance. This action restores database connection availability. Errors cease, and latency returns to normal within five minutes. This is a mitigation, not a fix. The underlying cause of connection exhaustion (e.g., poor resource handling, slow database queries, or a memory leak) is not yet understood.

Post-Incident Remediation. After service stabilization, an investigation begins. Log analysis reveals a new code path creates unclosed database connections during specific user flows. This slowly exhausts the pool over several hours. The incident team develops a patch. The patch correctly closes all database connections in the identified code path. The patch goes through code review, testing, and a staged rollout. Full remediation prevents recurrence of the connection exhaustion issue.

How to Prevent Repeat Incidents

Prevention requires shifting emphasis from reactive mitigation to proactive remediation. Conduct comprehensive post-incident reviews for every critical incident. Document the root cause, not just the symptoms. Implement changes identified in these reviews. Prioritize these changes alongside new feature development. Improve observability to detect precursor symptoms earlier. This allows for proactive intervention before an incident fully manifests. Regular load testing can expose resource exhaustion issues pre-production. Invest in automated testing frameworks; automated testing can prevent regressions.

What Teams Usually Do After Mitigation

Many teams focus solely on the immediate mitigation. They log the incident as 'resolved' without deeper analysis. This leaves the root cause unaddressed. The same problem often reoccurs days or weeks later. This creates a cycle of reactive firefighting. Teams delay or de-prioritize root cause analysis and permanent fixes. They claim 'no time' due to ongoing production load. This leads to accumulating technical debt and operational fragility. Engineers burn out responding to repeated, preventable incidents. Allocating time for deep work on reliability is crucial. Some teams also over-engineer mitigations. They spend too much time building complex temporary solutions during an active incident. This prolongs downtime and exacerbates impact. The goal is rapid service restoration, not elegant temporary code.

Key Takeaways on Mitigation and Fixes

  • Mitigate for speed, fix for stability.
  • Restore service first, then analyze.
  • Document mitigation for later analysis.
  • Prioritize root cause fixes post-incident.
  • Persistent issues indicate unaddressed root causes.

See how Better Software helps teams run reliable production systems.

Frequently Asked Questions

Should You Mitigate or Fix During an Incident?

We mitigate first. Incident response prioritizes restoring service, and operational stability during an incident calls for temporary measures that alleviate symptoms. Full remediation addresses the root cause and follows in a calmer state, once service is stable and the problem can be analyzed without pressure.

What Counts as a Mitigation?

We look for quick, reversible actions such as rolling back deployments, restarting services, throttling traffic or failing over to a redundant system. We prefer methods with high confidence and low side effects, and we confirm the incident state moves from active to mitigated before turning to root cause analysis.

Why Not Fix the Root Cause Immediately?

We find that full fixes need comprehensive analysis, code changes and testing, which are slow and add risk under duress. Direct causation paths are often unclear during an incident, so we use known operational levers to preserve service level objectives and customer trust, then fix properly afterward.

What Happens When Teams Only Mitigate?

We see the incident logged as resolved without deeper analysis, so the root cause stays unaddressed and the same problem returns days or weeks later. That creates reactive firefighting, accumulating technical debt and engineer burnout from repeated, preventable incidents.

How Do You Prevent Repeat Incidents?

We run post-incident reviews for every critical incident and document the root cause, not just symptoms. We prioritize the resulting changes alongside feature work, improve observability to catch precursor symptoms earlier, and use regular load testing to expose resource exhaustion before production.

About the author

Better Software

Better Software Team

Product and engineering team

Better Software Team is the product and engineering team at Better Software. We build new software products and improve existing applications and systems, with deeper experience in healthcare, finance and energy.