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Operational Sanity

CodeKarma Team · Financial Technology

Alert fatigue is real. When your on-call engineers are drowning in thousands of alerts per week, the signal gets lost in the noise. This fintech company was spending more time triaging alerts than building features — until they deployed CodeKarma.

The Challenge

As a regulated financial technology company, every alert had to be investigated. But with over 3,000 alerts per week across 200+ services, the team was overwhelmed.

  • Extreme alert fatigue: Engineers spent 60% of their time investigating alerts, most of which were false positives or low-impact
  • Security patches on dead code: The security team was applying patches to code paths that hadn’t been hit in production for months
  • High maintenance overhead: Every dependency update triggered a cascade of alerts and manual verification

The Solution

CodeKarma was deployed to correlate alerts with actual production behavior and identify live vs. dead code paths.

Phase 1 — Alert Correlation: KarmaPulse analyzed production traffic patterns and correlated alerts to actual service impact. Alerts affecting unused code paths were automatically deprioritized.

Phase 2 — Dead Code Identification: KarmaDomain mapped which code paths were actively serving production traffic vs. which hadn’t been touched in 90+ days.

Phase 3 — Patch Prioritization: Security patches were automatically prioritized based on whether the affected code was live or dead in production.

The Results

The transformation was dramatic:

  • 80% reduction in alert noise — engineers went from 3,000 alerts/week to ~600 actionable alerts
  • Zero wasted security patches — the team stopped patching code that wasn’t running in production
  • 2x feature velocity — engineers reclaimed 60% of their time previously spent on alert triage
  • Compliance confidence — auditors were impressed with the live code coverage reports

“We used to dread on-call rotations. Now they’re manageable. CodeKarma didn’t just reduce noise — it gave us confidence that every alert we see actually matters.” — Head of Platform Engineering

What’s Next

The team is expanding CodeKarma to their staging environments to catch dead code before it reaches production, further reducing the maintenance burden.

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curl codekarma.ai/case-studies/operational-sanity/.md

CodeKarma case study

# Operational Sanity

> How a fintech company eliminated 80% of alert noise and stopped patching dead code with CodeKarma.

## metadata

path
/case-studies/operational-sanity/
industry
Financial Technology
metrics
Less alert noise: 80%; Wasted patches: Zero; Feature velocity: 2x

## Case study summary

> How a fintech company eliminated 80% of alert noise and stopped patching dead code with CodeKarma.

  • Industry: Financial Technology
  • Less alert noise: 80%
  • Wasted patches: Zero
  • Feature velocity: 2x
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