DORA Metrics

// Track your DORA metrics — the standard way

interface DORAMetrics {
  deploymentFrequency: string;
  leadTimeForChanges: string;
  meanTimeToRecover: string;
  changeFailureRate: string;
}

const calculateDORA = (): DORAMetrics => {
  // Deployment Frequency: how often per day/week?
  const deploymentsThisWeek = 23;
  const deploymentFrequency = `${(deploymentsThisWeek / 7).toFixed(1)} deploys/day`;

  // Lead Time: time from merge to production
  const leadTimes = [42, 38, 55, 30, 45]; // minutes per deploy
  const avgLeadTime = leadTimes.reduce((a, b) => a + b) / leadTimes.length;
  const leadTimeForChanges = `${avgLeadTime.toFixed(0)} minutes average`;

  // Mean Time to Recover: average downtime per incident
  const incidentDurations = [15, 8, 22, 5]; // minutes
  const mttr = incidentDurations.reduce((a, b) => a + b) / incidentDurations.length;
  const meanTimeToRecover = `${mttr.toFixed(0)} minutes average`;

  // Change Failure Rate: % of deploys that caused incidents
  const totalDeploys = 120;
  const failedDeploys = 4;
  const cfr = (failedDeploys / totalDeploys) * 100;
  const changeFailureRate = `${cfr.toFixed(1)}% (ELITE)`;

  return { deploymentFrequency, leadTimeForChanges, meanTimeToRecover, changeFailureRate };
};

const metrics = calculateDORA();
Object.entries(metrics).forEach(([k, v]) => console.log(`${k}: ${v}`));

// CHALLENGE: Calculate your team's DORA metrics and classify performance level
// Fill in your team's data below and run to see your DevOps maturity!

// Step 1: Enter your team data
const teamData = {
  deploymentsThisMonth: 45,      // How many deploys to production?
  avgLeadTimeMinutes: 120,       // Avg time from commit to production (minutes)
  incidentsThisMonth: 3,         // Number of production incidents
  avgRecoveryMinutes: 45,        // Avg time to recover from incident (minutes)
  failedDeploys: 2,              // Deploys that caused production issues
};

// Step 2: Compute DORA metrics
const deployFreq = (teamData.deploymentsThisMonth / 30).toFixed(1);
const leadTime = teamData.avgLeadTimeMinutes;
const mttr = teamData.avgRecoveryMinutes;
const cfr = ((teamData.failedDeploys / teamData.deploymentsThisMonth) * 100).toFixed(1);

// Step 3: Classify performance level
function classifyDORA(freq, lt, recovery, failRate) {
  if (freq >= 1 && lt <= 60 && recovery <= 60 && failRate <= 15) return "🏆 ELITE";
  if (freq >= 0.14 && lt <= 1440 && recovery <= 1440 && failRate <= 30) return "✅ HIGH";
  if (freq >= 0.03 && lt <= 10080) return "⚠️ MEDIUM";
  return "❌ LOW";
}

const level = classifyDORA(
  parseFloat(deployFreq), leadTime, mttr, parseFloat(cfr)
);

console.log("=== YOUR DORA METRICS ===");
console.log("Deploy Frequency:", deployFreq, "deploys/day");
console.log("Lead Time:", leadTime, "minutes");
console.log("MTTR:", mttr, "minutes");
console.log("Change Failure Rate:", cfr + "%");
console.log("\nPerformance Level:", level);
console.log("\nTry changing the team data values to see how it affects your level!");