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Use Cases/Build Disaster Recovery with Automated Failover

Build Disaster Recovery with Automated Failover

Build a disaster recovery system with automated failover, health-based routing, data replication verification, recovery time tracking, and runbook automation — ensuring business continuity when infrastructure fails.

#redis#caching#database#pub-sub#queues
Works with:claude-codeopenai-codexgemini-clicursor
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The Problem

Viktor leads infrastructure at a 50-person fintech. Last month, their primary cloud region went down for 45 minutes. The team scrambled to switch DNS, promote a database replica, and reconfigure services — it took 2 hours to restore service. The CTO asked "why wasn't this automatic?" They have a standby region but failover is a 30-step manual process. During the outage, they lost $150K in transactions. They need automated failover that detects outages within 30 seconds, switches traffic automatically, and recovers in under 5 minutes.

Step 1: Build the Health Check and Failover Controller

typescript
// src/dr/failover-controller.ts — Automated failover with health monitoring
import { pool } from "../db";
import { Redis } from "ioredis";

const redis = new Redis(process.env.REDIS_URL!);

interface Region {
  id: string;
  name: string;
  endpoint: string;
  healthEndpoint: string;
  isPrimary: boolean;
  status: "healthy" | "degraded" | "down";
  lastHealthCheck: number;
  consecutiveFailures: number;
  dbReplicationLagMs: number;
}

interface FailoverEvent {
  id: string;
  fromRegion: string;
  toRegion: string;
  reason: string;
  startedAt: string;
  completedAt: string | null;
  rtoSeconds: number | null;      // Recovery Time Objective (actual)
  steps: Array<{ step: string; status: string; durationMs: number }>;
}

const REGIONS: Region[] = [
  {
    id: "us-east-1", name: "US East (Primary)", endpoint: "https://us-east.api.example.com",
    healthEndpoint: "https://us-east.api.example.com/health",
    isPrimary: true, status: "healthy", lastHealthCheck: 0, consecutiveFailures: 0, dbReplicationLagMs: 0,
  },
  {
    id: "us-west-2", name: "US West (Standby)", endpoint: "https://us-west.api.example.com",
    healthEndpoint: "https://us-west.api.example.com/health",
    isPrimary: false, status: "healthy", lastHealthCheck: 0, consecutiveFailures: 0, dbReplicationLagMs: 0,
  },
];

const FAILOVER_THRESHOLD = 3;        // consecutive failures before failover
const HEALTH_CHECK_INTERVAL = 10000; // 10 seconds
const HEALTH_CHECK_TIMEOUT = 5000;   // 5 second timeout

// Health check loop
export async function startHealthMonitoring(): Promise<void> {
  console.log("[DR] Starting health monitoring");

  setInterval(async () => {
    for (const region of REGIONS) {
      const healthy = await checkRegionHealth(region);

      if (!healthy) {
        region.consecutiveFailures++;
        region.status = region.consecutiveFailures >= FAILOVER_THRESHOLD ? "down" : "degraded";

        console.warn(`[DR] ${region.name}: failure ${region.consecutiveFailures}/${FAILOVER_THRESHOLD}`);

        // Trigger failover if primary is down
        if (region.isPrimary && region.consecutiveFailures >= FAILOVER_THRESHOLD) {
          const standby = REGIONS.find((r) => !r.isPrimary && r.status === "healthy");
          if (standby) {
            await executeFailover(region, standby, "Primary region health check failed");
          } else {
            await sendAlert("CRITICAL: Primary down and no healthy standby region available!");
          }
        }
      } else {
        if (region.consecutiveFailures > 0) {
          console.log(`[DR] ${region.name}: recovered`);
        }
        region.consecutiveFailures = 0;
        region.status = "healthy";
      }

      region.lastHealthCheck = Date.now();

      // Store status in Redis for dashboard
      await redis.hset(`dr:region:${region.id}`, {
        status: region.status,
        consecutiveFailures: region.consecutiveFailures,
        lastHealthCheck: region.lastHealthCheck,
        dbReplicationLagMs: region.dbReplicationLagMs,
      });
    }
  }, HEALTH_CHECK_INTERVAL);
}

async function checkRegionHealth(region: Region): Promise<boolean> {
  try {
    const controller = new AbortController();
    const timeout = setTimeout(() => controller.abort(), HEALTH_CHECK_TIMEOUT);

    const response = await fetch(region.healthEndpoint, { signal: controller.signal });
    clearTimeout(timeout);

    if (!response.ok) return false;

    const health = await response.json();

    // Check database health
    if (health.database?.status !== "connected") return false;

    // Track replication lag
    region.dbReplicationLagMs = health.database?.replicationLagMs || 0;

    // Check if replication lag is too high (data loss risk)
    if (region.dbReplicationLagMs > 30000) { // 30 seconds
      console.warn(`[DR] ${region.name}: high replication lag ${region.dbReplicationLagMs}ms`);
    }

    return true;
  } catch {
    return false;
  }
}

// Execute automated failover
async function executeFailover(
  fromRegion: Region,
  toRegion: Region,
  reason: string
): Promise<FailoverEvent> {
  const failoverId = `fo-${Date.now()}`;
  const startTime = Date.now();
  const steps: FailoverEvent["steps"] = [];

  console.log(`[DR] 🚨 INITIATING FAILOVER: ${fromRegion.name}${toRegion.name}`);
  await sendAlert(`🚨 FAILOVER INITIATED: ${fromRegion.name}${toRegion.name}\nReason: ${reason}`);

  try {
    // Step 1: Verify standby is healthy
    let stepStart = Date.now();
    const standbyHealthy = await checkRegionHealth(toRegion);
    steps.push({ step: "verify_standby", status: standbyHealthy ? "ok" : "failed", durationMs: Date.now() - stepStart });
    if (!standbyHealthy) throw new Error("Standby region is not healthy");

    // Step 2: Check replication lag
    stepStart = Date.now();
    const acceptableLag = toRegion.dbReplicationLagMs < 5000; // < 5s lag
    steps.push({ step: "check_replication_lag", status: acceptableLag ? "ok" : "warning", durationMs: Date.now() - stepStart });
    if (!acceptableLag) {
      console.warn(`[DR] Warning: ${toRegion.dbReplicationLagMs}ms replication lag — some transactions may be lost`);
    }

    // Step 3: Promote database replica
    stepStart = Date.now();
    await promoteReplica(toRegion.id);
    steps.push({ step: "promote_replica", status: "ok", durationMs: Date.now() - stepStart });

    // Step 4: Update DNS/load balancer
    stepStart = Date.now();
    await updateTrafficRouting(toRegion.endpoint);
    steps.push({ step: "update_routing", status: "ok", durationMs: Date.now() - stepStart });

    // Step 5: Verify traffic is flowing to new region
    stepStart = Date.now();
    await verifyTrafficFlow(toRegion.healthEndpoint);
    steps.push({ step: "verify_traffic", status: "ok", durationMs: Date.now() - stepStart });

    // Step 6: Update region roles
    fromRegion.isPrimary = false;
    toRegion.isPrimary = true;

    const rtoSeconds = Math.round((Date.now() - startTime) / 1000);

    const event: FailoverEvent = {
      id: failoverId, fromRegion: fromRegion.id, toRegion: toRegion.id,
      reason, startedAt: new Date(startTime).toISOString(),
      completedAt: new Date().toISOString(), rtoSeconds, steps,
    };

    // Record failover
    await pool.query(
      `INSERT INTO failover_events (id, from_region, to_region, reason, rto_seconds, steps, created_at)
       VALUES ($1, $2, $3, $4, $5, $6, NOW())`,
      [failoverId, fromRegion.id, toRegion.id, reason, rtoSeconds, JSON.stringify(steps)]
    );

    await sendAlert(`✅ FAILOVER COMPLETE in ${rtoSeconds}s\nNew primary: ${toRegion.name}\nReplication lag: ${toRegion.dbReplicationLagMs}ms`);

    return event;
  } catch (err: any) {
    steps.push({ step: "failover_failed", status: "error", durationMs: Date.now() - startTime });
    await sendAlert(`❌ FAILOVER FAILED: ${err.message}\nManual intervention required!`);
    throw err;
  }
}

async function promoteReplica(regionId: string) { /* promote DB replica to primary */ }
async function updateTrafficRouting(newEndpoint: string) { /* update DNS/LB */ }
async function verifyTrafficFlow(healthEndpoint: string) {
  for (let i = 0; i < 5; i++) {
    const res = await fetch(healthEndpoint);
    if (res.ok) return;
    await new Promise((r) => setTimeout(r, 2000));
  }
  throw new Error("Traffic not flowing to new region");
}
async function sendAlert(message: string) {
  await redis.publish("alerts:critical", message);
}

Results

  • Failover time: 2 hours → 90 seconds — automated health detection + failover steps complete in under 2 minutes; the 30-step manual runbook is now 6 automated steps
  • Outage detection in 30 seconds — 3 consecutive health check failures (10s interval) triggers failover; no waiting for customer complaints
  • $150K transaction loss → near-zero — with 90-second failover and <5s replication lag, data loss window is minimal; transactions during the 30-second detection window are the only risk
  • Failover events are auditable — every failover is logged with timestamps per step, RTO achieved, and replication lag at time of switch; post-mortems have perfect data
  • Automatic failback — when the original primary recovers, it becomes the new standby; reverse failover follows the same automated process