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APM Tagging Overhaul

Cutting MTTD by 38% through service maps and SLIs aligned to business KPIs

Results at a Glance

38%
Reduction in MTTD
95%
Faster Root Cause Analysis
200%
Improved Service Visibility

The Challenge

A financial services company was struggling with their existing APM implementation, facing critical observability challenges:

  • Inconsistent tagging: Fragmented tagging strategy across 200+ microservices made it impossible to correlate issues effectively
  • Poor service visibility: No clear service maps or dependency understanding, making troubleshooting extremely difficult
  • Misaligned metrics: Technical metrics weren't connected to business outcomes, making prioritization challenging
  • Long MTTD: Average mean time to detection was 45+ minutes due to noise and poor signal correlation

Our Solution

Unified Tagging Strategy

Implemented a comprehensive, standardized tagging framework across all services and infrastructure.

  • • Business domain classification
  • • Environment and deployment tags
  • • Owner and team responsibility
  • • Service tier and criticality levels

Service Maps & Dependencies

Created comprehensive service maps showing real-time dependencies and data flow.

  • • Automatic dependency discovery
  • • Real-time service topology
  • • Impact analysis visualization
  • • Blast radius calculations

Business-Aligned SLIs

Developed Service Level Indicators that directly correlate to business KPIs and customer experience.

  • • Customer journey success rates
  • • Transaction processing latency
  • • API availability by business function
  • • Revenue-impacting error rates

Intelligent Dashboards

Custom dashboards providing actionable insights for different stakeholders.

  • • Executive business impact views
  • • Team-specific service health
  • • Real-time incident dashboards
  • • Capacity planning insights

Implementation Process

Phase 1: Discovery & Assessment

Comprehensive audit of existing services, dependencies, and business criticality mapping

Phase 2: Tagging Framework Design

Development of standardized tagging taxonomy and implementation guidelines

Phase 3: Gradual Migration

Rolling deployment of new tagging strategy across critical services first

Phase 4: SLI Development

Creation of business-aligned SLIs and corresponding dashboards

Phase 5: Training & Adoption

Team training and documentation for ongoing maintenance and expansion

Tagging Framework Structure

Business Tags

Domain:payments, accounts, trading
Product:mobile-app, web-portal, api
Criticality:critical, high, medium, low
Revenue Impact:direct, indirect, support

Technical Tags

Environment:prod, staging, dev
Team:payments-team, platform-team
Technology:java-spring, node-express
Deployment:k8s-cluster, region

Business-Aligned SLI Examples

Payment Processing Success Rate

SLI Definition

Percentage of payment transactions completed successfully within 5 seconds, excluding user errors

Business Impact

Directly correlates to revenue loss and customer satisfaction. 1% degradation = $50K daily impact

Account Login Experience

SLI Definition

95th percentile response time for successful authentication flows across web and mobile

Business Impact

Customer retention metric. Slow logins increase churn rate by 15% within 30 days

Detailed Results

Operational Improvements

Mean Time to Detection (MTTD)↓ 38%
From 45 minutes to 28 minutes average
Root Cause Analysis Speed↑ 95%
Service maps reduced investigation time
Alert Noise Reduction↓ 55%
Better correlation eliminated false positives

Business Impact

Incident Revenue Impact↓ $2.1M
Annual reduction in revenue loss
Customer Satisfaction Score↑ 22%
Improved service reliability perception
Team Productivity↑ 40%
Less time firefighting, more feature development
"The transformation in our observability has been game-changing. We now have complete visibility into how our technical performance impacts business outcomes. When issues arise, we know exactly what's affected and can prioritize based on real business impact."
Michael Rodriguez
Head of Platform Engineering

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