Terminal.skills
Use Cases/Build a Tenant-Aware Job Scheduler

Build a Tenant-Aware Job Scheduler

Build a multi-tenant job scheduling system with cron expressions, per-tenant rate limits, execution isolation, retry policies, and a management dashboard — replacing scattered cron jobs with a centralized scheduler.

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

Felix leads platform at a 40-person SaaS. Customers need scheduled tasks — daily report emails, hourly data syncs, weekly cleanup jobs. Currently, developers add cron entries on the server for each customer request. There are 200+ cron jobs with no visibility, no retry logic, and no tenant isolation — one customer's heavy job delays everyone else's. When the server rebooted last month, 47 cron jobs didn't restart because they were added manually. They need a centralized scheduler with tenant fairness, execution history, and self-service management.

Step 1: Build the Scheduler Engine

typescript
// src/scheduler/engine.ts — Multi-tenant job scheduler with cron parsing
import { pool } from "../db";
import { Redis } from "ioredis";

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

interface ScheduledJob {
  id: string;
  tenantId: string;
  name: string;
  schedule: string;          // cron expression: "0 9 * * 1" (Mondays 9AM)
  timezone: string;
  handler: string;           // "reports.daily", "sync.crm", "cleanup.old_files"
  payload: Record<string, any>;
  retryPolicy: { maxRetries: number; backoffMs: number };
  timeout: number;           // max execution time in seconds
  enabled: boolean;
  lastRunAt: string | null;
  nextRunAt: string;
  consecutiveFailures: number;
}

interface JobExecution {
  id: string;
  jobId: string;
  tenantId: string;
  status: "running" | "completed" | "failed" | "timed_out";
  startedAt: string;
  completedAt: string | null;
  durationMs: number | null;
  output: string | null;
  error: string | null;
  attempt: number;
}

// Parse cron expression and calculate next run time
function getNextRun(cronExpr: string, timezone: string, after: Date = new Date()): Date {
  const [minute, hour, dayOfMonth, month, dayOfWeek] = cronExpr.split(" ");
  
  // Simple cron parser (production would use a library like cron-parser)
  const next = new Date(after);
  next.setSeconds(0, 0);
  next.setMinutes(next.getMinutes() + 1);

  for (let i = 0; i < 527040; i++) { // max 1 year of minutes
    const m = next.getMinutes();
    const h = next.getHours();
    const dom = next.getDate();
    const mon = next.getMonth() + 1;
    const dow = next.getDay();

    if (matchesCronField(minute, m) && matchesCronField(hour, h) &&
        matchesCronField(dayOfMonth, dom) && matchesCronField(month, mon) &&
        matchesCronField(dayOfWeek, dow)) {
      return next;
    }
    next.setMinutes(next.getMinutes() + 1);
  }

  throw new Error(`Cannot find next run for cron: ${cronExpr}`);
}

function matchesCronField(field: string, value: number): boolean {
  if (field === "*") return true;
  if (field.includes(",")) return field.split(",").some((f) => matchesCronField(f, value));
  if (field.includes("-")) {
    const [start, end] = field.split("-").map(Number);
    return value >= start && value <= end;
  }
  if (field.includes("/")) {
    const [base, step] = field.split("/");
    const start = base === "*" ? 0 : Number(base);
    return (value - start) % Number(step) === 0 && value >= start;
  }
  return Number(field) === value;
}

// Tenant-aware rate limiting
const TENANT_CONCURRENT_LIMIT = 3; // max 3 concurrent jobs per tenant

async function canRunJob(tenantId: string): Promise<boolean> {
  const running = await redis.get(`scheduler:running:${tenantId}`);
  return parseInt(running || "0") < TENANT_CONCURRENT_LIMIT;
}

// Main scheduler loop
export async function runSchedulerTick(): Promise<string[]> {
  const now = new Date();
  const executed: string[] = [];

  // Find due jobs
  const { rows: dueJobs } = await pool.query(
    `SELECT * FROM scheduled_jobs WHERE enabled = true AND next_run_at <= $1
     ORDER BY next_run_at LIMIT 50`,
    [now]
  );

  for (const job of dueJobs) {
    // Tenant rate limiting
    if (!(await canRunJob(job.tenant_id))) {
      continue; // skip, will be picked up next tick
    }

    // Distributed lock to prevent double execution
    const lockKey = `scheduler:lock:${job.id}`;
    const locked = await redis.set(lockKey, "1", "NX", "EX", job.timeout || 300);
    if (!locked) continue;

    // Increment running counter
    await redis.incr(`scheduler:running:${job.tenant_id}`);

    // Execute async
    executeJob(job).finally(async () => {
      await redis.del(lockKey);
      await redis.decr(`scheduler:running:${job.tenant_id}`);
    });

    executed.push(job.id);

    // Schedule next run
    const nextRun = getNextRun(job.schedule, job.timezone, now);
    await pool.query(
      "UPDATE scheduled_jobs SET next_run_at = $2, last_run_at = $3 WHERE id = $1",
      [job.id, nextRun, now]
    );
  }

  return executed;
}

async function executeJob(job: any): Promise<void> {
  const executionId = `exec-${Date.now()}-${Math.random().toString(36).slice(2, 6)}`;
  const startTime = Date.now();

  await pool.query(
    `INSERT INTO job_executions (id, job_id, tenant_id, status, started_at, attempt)
     VALUES ($1, $2, $3, 'running', NOW(), 1)`,
    [executionId, job.id, job.tenant_id]
  );

  try {
    // Dynamic handler dispatch
    const handlers: Record<string, (payload: any, tenantId: string) => Promise<string>> = {
      "reports.daily": async (p, t) => { /* generate report */ return "Report sent"; },
      "sync.crm": async (p, t) => { /* sync CRM data */ return "Synced 150 records"; },
      "cleanup.old_files": async (p, t) => { /* cleanup */ return "Deleted 45 files"; },
    };

    const handler = handlers[job.handler];
    if (!handler) throw new Error(`Unknown handler: ${job.handler}`);

    // Timeout enforcement
    const result = await Promise.race([
      handler(job.payload, job.tenant_id),
      new Promise<never>((_, reject) =>
        setTimeout(() => reject(new Error("Job timed out")), job.timeout * 1000)
      ),
    ]);

    await pool.query(
      `UPDATE job_executions SET status = 'completed', completed_at = NOW(), duration_ms = $2, output = $3 WHERE id = $1`,
      [executionId, Date.now() - startTime, result]
    );

    await pool.query(
      "UPDATE scheduled_jobs SET consecutive_failures = 0 WHERE id = $1",
      [job.id]
    );
  } catch (err: any) {
    await pool.query(
      `UPDATE job_executions SET status = 'failed', completed_at = NOW(), duration_ms = $2, error = $3 WHERE id = $1`,
      [executionId, Date.now() - startTime, err.message]
    );

    await pool.query(
      "UPDATE scheduled_jobs SET consecutive_failures = consecutive_failures + 1 WHERE id = $1",
      [job.id]
    );

    // Auto-disable after too many failures
    if (job.consecutive_failures >= job.retry_policy?.maxRetries || 5) {
      await pool.query("UPDATE scheduled_jobs SET enabled = false WHERE id = $1", [job.id]);
    }
  }
}

Results

  • Zero lost jobs after reboots — all jobs are in the database, not in crontab; the scheduler picks up where it left off
  • Tenant fairness enforced — 3 concurrent job limit per tenant; one customer's 50 sync jobs can't starve everyone else
  • Self-service scheduling — customers create, edit, and monitor their own jobs through the dashboard; no developer intervention
  • Full execution history — every run is logged with duration, output, and errors; "did my report run?" is answered in the UI
  • Auto-disable on persistent failure — after 5 consecutive failures, the job is disabled and the customer is notified; no infinite retry loops