Background Jobs System - DeployStack - Enterprise Control Plane for MCP

DeployStack Satellite implements a centralized job management system for recurring background tasks. The system provides a consistent pattern for cron-like operations with automatic error handling, execution metrics, and lifecycle management.

Architecture Overview

The job system consists of three core components:

┌─────────────────────────────────────────────────────────────────┐
│                    Job System Architecture                      │
│                                                                 │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐    │
│  │   BaseJob    │    │  JobManager  │    │ Concrete Job │    │
│  │              │    │              │    │              │    │
│  │ • Interval   │◄───│ • Registry   │◄───│ HeartbeatJob │    │
│  │ • Execute    │    │ • Lifecycle  │    │ CleanupJob   │    │
│  │ • Metrics    │    │ • Monitoring │    │ CustomJob    │    │
│  └──────────────┘    └──────────────┘    └──────────────┘    │
└─────────────────────────────────────────────────────────────────┘

BaseJob Abstract Class

All jobs extend BaseJob, which provides:

Automatic Interval Execution: Jobs run on configured intervals
Immediate First Run: Execute immediately on start, then follow interval
Error Handling: Automatic error catching with structured logging
Execution Metrics: Track execution count, timing, and errors
Lifecycle Management: Start/stop methods with state tracking

JobManager

The JobManager provides centralized control:

Job Registry: Register and track all jobs
Lifecycle Control: Start/stop all jobs or individual jobs
Status Monitoring: Query job statistics and execution state
Graceful Shutdown: Stop all jobs cleanly on satellite shutdown

Current Jobs

Job Name	Interval	Purpose	Status
`heartbeat`	30 seconds	Send status updates to backend	✅ Active
`cleanup`	5 minutes	Template for new jobs	📝 Example

Creating a New Job

Add a new background job in three steps:

Step 1: Create Job File

Create src/jobs/process-health-job.ts:

import { BaseJob } from './base-job';
import { FastifyBaseLogger } from 'fastify';

export class ProcessHealthJob extends BaseJob {
  constructor(logger: FastifyBaseLogger) {
    super('process-health', 120000, logger); // 2 minutes
  }

  protected async execute(): Promise<void> {
    this.logger.info({
      operation: 'process_health_check'
    }, 'Checking process health...');

    // Your job logic here

    this.logger.info({
      operation: 'process_health_complete'
    }, 'Health check completed');
  }
}

Step 2: Export from Index

Add to src/jobs/index.ts:

export { ProcessHealthJob } from './process-health-job';

Step 3: Register in Server

Add to src/server.ts:

import { JobManager, HeartbeatJob, CleanupJob, ProcessHealthJob } from './jobs';

const jobManager = new JobManager(server.log);
jobManager.register(new HeartbeatJob(heartbeatService));
jobManager.register(new CleanupJob(server.log));
jobManager.register(new ProcessHealthJob(server.log));

await jobManager.startAll();

That’s it! Your job will start running immediately and then execute every 2 minutes automatically.

Job Intervals

Common interval values in milliseconds:

// Seconds
* 1000           // 30 seconds
* 1000           // 1 minute

// Minutes
* 60 * 1000       // 2 minutes
* 60 * 1000       // 5 minutes
* 60 * 1000      // 10 minutes
* 60 * 1000      // 15 minutes
* 60 * 1000      // 30 minutes

// Hours
* 60 * 1000      // 1 hour
* 60 * 60 * 1000  // 6 hours
* 60 * 60 * 1000 // 24 hours

Environment-Configurable Intervals

Make job intervals configurable:

export class MyJob extends BaseJob {
  constructor(logger: FastifyBaseLogger) {
    const interval = parseInt(
      process.env.MY_JOB_INTERVAL || '300000',
      10
    );
    super('my-job', interval, logger);
  }
}

Add to .env.example:

# My Job interval in milliseconds (default: 5 minutes)
MY_JOB_INTERVAL=300000

Jobs with Dependencies

If your job needs access to services, inject them via constructor:

export class ProcessHealthJob extends BaseJob {
  constructor(
    logger: FastifyBaseLogger,
    private processManager: ProcessManager,
    private runtimeState: RuntimeState
  ) {
    super('process-health', 120000, logger);
  }

  protected async execute(): Promise<void> {
    const processes = this.processManager.getAllProcesses();
    
    for (const proc of processes) {
      if (proc.errorCount > 10) {
        this.logger.warn({
          process_id: proc.config.installation_id,
          error_count: proc.errorCount
        }, 'Process has high error count');
      }
    }
  }
}

jobManager.register(
  new ProcessHealthJob(server.log, processManager, runtimeState)
);

Job Lifecycle

Initialization Flow

Satellite Startup
    │
    ├── Register Satellite with Backend
    │
    ├── Initialize Services
    │
    ├── Create JobManager
    │
    ├── Register Jobs
    │   ├── new HeartbeatJob(heartbeatService)
    │   ├── new CleanupJob(logger)
    │   └── new CustomJob(logger)
    │
    ├── jobManager.startAll()
    │   ├── Start Job 1 → Execute immediately → Set interval
    │   ├── Start Job 2 → Execute immediately → Set interval
    │   └── Start Job 3 → Execute immediately → Set interval
    │
    └── Satellite Ready

Job Execution Flow

Job Start
    │
    ├── Execute Immediately (first run)
    │   ├── Log: job_execute_start
    │   ├── Run execute() method
    │   ├── Track execution time
    │   ├── Log: job_execute_success
    │   └── Update metrics
    │
    ├── Wait for Interval
    │
    └── Execute on Interval (repeating)
        ├── Log: job_execute_start
        ├── Run execute() method
        ├── Handle errors (if any)
        ├── Log: job_execute_success or job_execute_error
        └── Update metrics → Repeat

Monitoring and Observability

Structured Logging

All job events are logged with structured data:

// Job started
{
  "operation": "job_start",
  "job_name": "process-health",
  "interval_ms": 120000,
  "interval_seconds": 120
}

// Job executing
{
  "operation": "job_execute_start",
  "job_name": "process-health",
  "execution_number": 5
}

// Job completed
{
  "operation": "job_execute_success",
  "job_name": "process-health",
  "execution_number": 5,
  "execution_time_ms": 234
}

// Job error
{
  "operation": "job_execute_error",
  "job_name": "process-health",
  "execution_number": 5,
  "error_count": 2,
  "error": "Connection timeout"
}

Job Statistics

Query job statistics via JobManager:

const stats = jobManager.getStats('process-health');
// Returns:
{
  executionCount: 42,
  errorCount: 2,
  averageExecutionTime: 234,
  isRunning: true
}

Get all job statistics:

const allStats = jobManager.getAllStats();
// Returns array of all job statistics

Error Handling

Automatic Error Recovery

The BaseJob class automatically handles errors:

protected async execute(): Promise<void> {
  // If this throws, BaseJob catches it
  await someOperationThatMightFail();
  
  // Job continues running on next interval
}

Custom Error Handling

Add custom error handling for specific scenarios:

protected async execute(): Promise<void> {
  try {
    await this.criticalOperation();
  } catch (error) {
    this.logger.error({ error }, 'Critical operation failed');
    // Don't throw - let BaseJob track the error
  }
}

Timeout Protection

Add timeouts for long-running operations:

protected async execute(): Promise<void> {
  const controller = new AbortController();
  const timeout = setTimeout(() => controller.abort(), 60000);

  try {
    await this.longOperation({ signal: controller.signal });
  } finally {
    clearTimeout(timeout);
  }
}

Best Practices

1. Keep Jobs Focused

Each job should have a single responsibility: Good:

export class SessionCleanupJob extends BaseJob {
  protected async execute(): Promise<void> {
    await this.cleanupExpiredSessions();
  }
}

Bad:

export class MaintenanceJob extends BaseJob {
  protected async execute(): Promise<void> {
    await this.cleanupSessions();
    await this.checkProcessHealth();
    await this.rotateBlogs();
    await this.updateMetrics();
  }
}

2. Choose Appropriate Intervals

High-frequency (30s-1m): Health checks, critical monitoring
Medium (5m-15m): Cleanup tasks, periodic updates
Low (1h+): Reports, analytics, maintenance

3. Document Job Purpose

Add clear comments explaining what the job does:

/**
 * Process Health Check Job
 * 
 * Monitors all running MCP server processes and restarts unhealthy ones.
 * Runs every 2 minutes to ensure quick failure detection.
 * 
 * Checks:
 * - Process still running
 * - Error count within limits
 * - Response time acceptable
 * - Memory usage not excessive
 */
export class ProcessHealthJob extends BaseJob {
  // ...
}

4. Use Structured Logging

Always log with operation context:

protected async execute(): Promise<void> {
  this.logger.info({
    operation: 'cleanup_start',
    session_count: sessions.length
  }, 'Starting session cleanup...');

  // ... cleanup logic ...

  this.logger.info({
    operation: 'cleanup_complete',
    removed_count: removed
  }, 'Session cleanup completed');
}

Common Job Patterns

Health Check Pattern

export class HealthCheckJob extends BaseJob {
  constructor(
    logger: FastifyBaseLogger,
    private service: ServiceToMonitor
  ) {
    super('health-check', 120000, logger);
  }

  protected async execute(): Promise<void> {
    const isHealthy = await this.service.checkHealth();
    
    if (!isHealthy) {
      this.logger.warn({
        operation: 'health_check_failed',
        service: 'my-service'
      }, 'Service health check failed');
      
      await this.service.restart();
    }
  }
}

Cleanup Pattern

export class CleanupJob extends BaseJob {
  constructor(
    logger: FastifyBaseLogger,
    private manager: ResourceManager
  ) {
    super('cleanup', 900000, logger); // 15 minutes
  }

  protected async execute(): Promise<void> {
    const expired = await this.manager.findExpired();
    
    for (const resource of expired) {
      await this.manager.cleanup(resource);
    }
    
    this.logger.info({
      operation: 'cleanup_complete',
      count: expired.length
    }, 'Cleanup completed');
  }
}

Metrics Collection Pattern

export class MetricsJob extends BaseJob {
  constructor(
    logger: FastifyBaseLogger,
    private collector: MetricsCollector
  ) {
    super('metrics', 300000, logger); // 5 minutes
  }

  protected async execute(): Promise<void> {
    const metrics = await this.collector.collect();
    await this.collector.report(metrics);
  }
}

Troubleshooting

Job Not Starting

Check if the job is registered:

# Look for job_start logs
grep "job_start" satellite.log | grep "my-job"

Verify registration in code:

const jobs = jobManager.getRegisteredJobs();
console.log(jobs); // Should include your job name

Job Failing Repeatedly

Check error logs:

# Find job errors
grep "job_execute_error" satellite.log | grep "my-job"

Review error count in statistics:

const stats = jobManager.getStats('my-job');
console.log(`Error count: ${stats.errorCount}`);

Performance Issues

Monitor execution time:

# Check execution times
grep "job_execute_success" satellite.log | grep "my-job"

If execution time approaches interval:

Increase the interval
Optimize job logic
Consider breaking into smaller jobs

Job Not Executing on Time

Verify interval configuration:

// Log interval on job creation
this.logger.info({
  job_name: 'my-job',
  interval_ms: this.intervalMs,
  interval_seconds: this.intervalMs / 1000
}, 'Job interval configured');

Check system clock drift if timing is critical.

Future Enhancements

Planned improvements to the job system:

Job dependencies (Job B waits for Job A completion)
Conditional execution (skip job if condition not met)
Job state persistence (resume after satellite restart)
Distributed coordination (multi-satellite job scheduling)
Retry logic with exponential backoff
Dynamic interval adjustment based on load
Prometheus metrics export
Web UI for job management

Implementation Status

Current Features:

✅ BaseJob abstract class with interval management
✅ JobManager for centralized control
✅ Automatic error handling and logging
✅ Execution metrics tracking
✅ HeartbeatJob integration
✅ Template job for reference

In Development:

🚧 Job priority levels
🚧 Job status API endpoint
🚧 Advanced monitoring features

The job system is production-ready and actively used for the heartbeat service. The pattern has proven stable and is ready for additional jobs.

​Architecture Overview

​BaseJob Abstract Class

​JobManager

​Current Jobs

​Creating a New Job

​Step 1: Create Job File

​Step 2: Export from Index

​Step 3: Register in Server

​Job Intervals

​Environment-Configurable Intervals

​Jobs with Dependencies

​Job Lifecycle

​Initialization Flow

​Job Execution Flow

​Monitoring and Observability

​Structured Logging

​Job Statistics

​Error Handling

​Automatic Error Recovery

​Custom Error Handling

​Timeout Protection

​Best Practices

​1. Keep Jobs Focused

​2. Choose Appropriate Intervals

​3. Document Job Purpose

​4. Use Structured Logging

​Common Job Patterns

​Health Check Pattern

​Cleanup Pattern

​Metrics Collection Pattern

​Troubleshooting

​Job Not Starting

​Job Failing Repeatedly

​Performance Issues

​Job Not Executing on Time

​Future Enhancements

​Implementation Status

Architecture Overview

BaseJob Abstract Class

JobManager

Current Jobs

Creating a New Job

Step 1: Create Job File

Step 2: Export from Index

Step 3: Register in Server

Job Intervals

Environment-Configurable Intervals

Jobs with Dependencies

Job Lifecycle

Initialization Flow

Job Execution Flow

Monitoring and Observability

Structured Logging

Job Statistics

Error Handling

Automatic Error Recovery

Custom Error Handling

Timeout Protection

Best Practices

1. Keep Jobs Focused

2. Choose Appropriate Intervals

3. Document Job Purpose

4. Use Structured Logging

Common Job Patterns

Health Check Pattern

Cleanup Pattern

Metrics Collection Pattern

Troubleshooting

Job Not Starting

Job Failing Repeatedly

Performance Issues

Job Not Executing on Time

Future Enhancements

Implementation Status