Métriques & KPIs Platform Engineer
Comment mesurer le succès et l'adoption d'une plateforme interne (Internal Developer Platform).
📈 Métriques d'Adoption
👥 Developer Adoption Rate
% des devs utilisant la plateforme
Month 0-3 : 20-30% early adopters
Month 6 : 60%+ mainstream
Month 12 : Target > 90%
Mesure : Monthly active developers
🚀 Self-Service Adoption
% d'applis deployées sans ops
Cible : > 80%
Sans plateforme : 0% (tous besoin ops)
Mesure : Deployments via platform portal / total deployments
⏱️ Time to Onboard Developer
Temps pour nouveau dev du "hello world" à 1er deploy
Sans plateforme : 2-4 semaines
Avec plateforme : < 1 jour
Impact : Productivité immédiate
🎯 Feature Requests vs Complaints
Ratio demandes nouvelles vs problèmes
Healthy : 3:1 feature requests vs bugs
Problematic : 1:3 = platform too buggy
Action : If inverted = stabilize before new features
📊 Support Tickets per Developer
Volume de tickets soutien pour la plateforme
Cible : < 0.5 tickets/dev/month
> 1 ticket/dev : Documentation insuffisante
Action : Improve UX, better docs, better training
⭐ Developer Satisfaction (NPS)
Sondage: "Would you recommend this platform?"
Target NPS : > 50 (industry standard)
< 30 : Serious problems
Mesure : Quarterly surveys
⚡ Métriques d'Efficacité
🚀 Time to First Deployment
Temps pour déployer 1ère version d'une nouvelle app
Sans plateforme : 3-6 mois (infrastructure setup)
Avec plateforme : < 1 heure (scaffold + deploy)
Impact : Business value faster
📦 Deployment Frequency
Combien de fois déployé par dev par semaine
Sans plateforme : < 1/week (manual)
Avec plateforme : 5-10+/week (automated)
Mesure : Avg deployments per developer
🔄 Deployment Lead Time
Temps depuis code push jusquà production
Sans plateforme : Hours to days
Avec plateforme : Minutes (< 15)
Impact : Faster feedback, faster fix cycles
⚙️ Platform Maintenance Burden
% Platform team time spent on incidents vs features
Target : 20% incidents, 80% features
> 50% incidents : Platform unstable
Action : Hire more SREs, stabilize
🛠️ Cost per Developer (Infra Cost)
Cloud cost / number of developers
Without optimization : $500+/dev/month
With right-sizing : $200-300/dev/month
ROI : 10,000 devs = $30M/year savings
📊 Infrastructure Cost Trend
Cloud spend month-over-month
Goal : Cost per deployment constant despite more deployments
Bad : Cost increasing (waste)
Good : Cost flat or decreasing (efficiency)
🛡️ Métriques de Qualité & Fiabilité
🚨 Platform Availability / Uptime
% de temps la plateforme est up et responsive
Target : 99.9%+ (critical infrastructure)
< 99% : Blocks developers, frustration
Impact : Downtime = all devs blocked (not just 1 app)
📈 Portal Response Time (p95)
95% des portal requests < X ms
Target : < 500ms
> 2 seconds : Developers abandon, use workarounds
Mesure : Real user monitoring (RUM)
✅ API Error Rate
% platform API calls failing
Target : < 0.1%
> 1% : Developers can't deploy
Alert : > 0.5% page immediately
🔗 Feature Toggle Coverage
% of new deployments use feature flags
Target : > 80%
Benefit : Deployments less risky (can roll back)
Mesure : Deployments with toggles / total
🎯 Platform Configuration Drift
% apps where declared config != actual state
Target : < 5%
> 20% : Manual changes bypassing platform
Action : Improve platform UX (too hard to use right way)
📊 Automation Coverage
% of infrastructure provisioning automated
Target : > 95%
< 80% : Manual steps = delays, errors
Mesure : IaC coverage via Terraform/Pulumi
👥 Métriques de Productivité Développeur
📚 Time to Productivity (TTT)
Jours avant nouveau dev code-contributing
Without platform : 4-6 weeks
With platform : 2-5 days
Impact : 10x faster onboarding = retention
🎯 Context Switching Reduction
% decrease in "infrastructure questions" to ops
Target : > 70% reduction
Without platform : Devs constantly ask ops
With platform : Self-serve answers in portal
🔧 TOIL Reduction (Ops Burden)
% of ops time on repetitive tasks (eliminated)
Target : 50%+ reduction
Ops pre-platform : 60% TOIL (infra setup)
Ops post-platform : 10% TOIL (only exceptions)
⚠️ Security Policy Compliance (Automated)
% of apps automatically enforcing policies
Target : > 95%
Without automation : Manual audits (slow)
With automation : Continuous enforcement (real-time)
📖 Documentation Quality
% documentation up-to-date (vs platform version)
Target : > 90%
< 70% : Developers use workarounds
Mesure : Last updated within 2 weeks
🎓 Training Completion
% of developers completed platform training
Target : > 80%
Low completion : Means misuse, support load
Action : Make training mandatory onboarding
❤️ Métriques de Santé de la Plateforme
🔄 Dependency Version Currency
% of apps using latest/recent versions
Target : > 85%
Mesure : Apps within 1-2 minor versions of latest
Impact : Modern = secure, performant
🔐 Security Scanning Coverage
% of platform components with active scanning
Target : 100%
Includes : SAST, DAST, SCA, infra scan
Automated : Must be within CI/CD
📊 Mean Time to Fix (Critical Bugs)
Durée pour patcher bug critique de la plateforme
Target : < 24 hours
> 1 week : Too slow (devs blocked)
Impact : Affects all development teams
🐛 Incident Rate (Platform Outages)
Number of platform incidents per month
Target : < 1 per quarter
> 1 per month : Platform not stable
Impact : 1 outage = hundreds of devs affected
🎯 Feature Velocity (New Capabilities)
New features delivered per quarter
Target : 4-8 significant features/Q
< 2 : Platform stagnating
> 12 : Maybe too many, need stabilization
👥 Team Capacity vs Demand
Platform team backlog vs requested features
Healthy : Backlog = 1-2 quarters work
> 4 quarters : Team under-resourced
Action : Hire more or prioritize ruthlessly
🚀 Roadmap d'Implémentation
Foundation & MVP
- Setup platform infrastructure (K8s, CI/CD)
- Create basic developer portal
- Self-service app provisioning
- Track: Adoption %, Time to First Deploy
Feature Expansion
- Integrated logging / monitoring
- Policy enforcement / compliance
- Progressive delivery (canary, blue-green)
- Track: Portal uptime, Support tickets
Maturity & Scaling
- Multi-cloud support
- Advanced observability integrations
- Platform as a product (marketplace)
- Track: NPS, Cost per dev, TOIL reduction
Optimization & Community
- Developer feedback loops
- Internal marketplace for tools
- Community-driven enhancements
- Track: Feature requests, Developer satisfaction