What is HookWatch?

HookWatch is a powerful, developer-centric platform designed to bring visibility and reliability to the often-invisible parts of your infrastructure: webhooks and cron jobs. In modern applications, these background processes are critical for everything from payment processing and notifications to data synchronization and scheduled tasks. However, when they fail silently, it can lead to significant business disruptions, lost revenue, and frustrated users. HookWatch eliminates this uncertainty by providing a single, intuitive dashboard where you can monitor, debug, and manage all your critical webhook endpoints and cron job executions.

Built with developers in mind, HookWatch offers a local-first CLI experience that seamlessly syncs with a cloud-based dashboard. This hybrid approach ensures that your monitoring works even offline, while providing the accessibility and insights of a cloud platform. Whether you're a solo developer managing a side project or part of a large team running production systems, HookWatch empowers you to ship with confidence, knowing that failures will be detected and alerted in real-time, allowing you to focus on building and innovating rather than firefighting.

Key Features

• Unified Dashboard: Monitor both webhooks and cron jobs from a single, cohesive interface. Visualize real-time metrics, identify trends, and pinpoint issues at a glance.
• Webhook Monitoring: Track every incoming webhook, inspect full payloads, detect failures instantly, and receive timely alerts. Supports popular services like Stripe, GitHub, Shopify, and more.
• Cron Job Monitoring: Never let a scheduled task fail unnoticed again. HookWatch provides human-readable schedule definitions, execution logs, history, and automatic retries with exponential backoff.
• Local-First CLI: Manage your monitoring setup directly from your terminal with a powerful, offline-capable CLI. Configuration is simple, and commands are intuitive.
• Human-Readable Syntax: Define cron job schedules using plain language (e.g., "every day at 2am") instead of complex cron expressions.
• Smart Alerts: Configure notifications via Slack, Discord, PagerDuty, or email. Alerts include actionable context to speed up debugging.
• One-Click Replay: Easily replay webhook events to test your endpoints or recover from temporary issues.
• Full Payload Inspection: Dive deep into the data received by your webhooks for thorough debugging.
• Failure Detection & Alerts: Proactive monitoring that notifies you immediately when webhooks fail or cron jobs don't execute as expected.
• Execution Logs & History: Maintain a comprehensive record of all cron job runs, including duration, exit codes, and output, for historical analysis.
• Cloud Sync & Dashboard: Optional cloud synchronization provides access to your monitoring data from anywhere, with a rich, real-time dashboard.

How to Use HookWatch

Getting started with HookWatch is designed to be straightforward for developers:

1. Installation: Install the HookWatch CLI tool easily via a simple curl command: curl -fsSL https://hookwatch.dev/install | sh.
2. Configuration: Configure HookWatch by creating a config.yaml file in your ~/.hookwatch/ directory or by setting environment variables. This includes setting your API key and optionally specifying your preferred gRPC or webhook URLs.
3. Define Jobs: Use the CLI to manage your cron jobs and webhook endpoints. You can define schedules in human-readable formats and set up forwarding for incoming webhooks.
4. Monitor: Access the live dashboard at app.hookwatch.dev to view real-time metrics, event statuses, and historical data for all your monitored services.
5. Alerting: Set up integrations with your preferred communication tools (Slack, Discord, etc.) to receive instant notifications when issues arise.
6. Debugging: Utilize the detailed logs, payload inspection, and one-click replay features to quickly diagnose and resolve any problems.

Use Cases

• E-commerce Platforms: Monitor webhook events from payment gateways (Stripe), shipping providers, and inventory systems to ensure orders are processed, payments are captured, and stock levels are accurate.
• SaaS Applications: Track critical background tasks like user onboarding processes, data synchronization between services, email notification delivery, and API integrations to maintain service reliability.
• Scheduled Reporting & Data Pipelines: Ensure that daily, weekly, or monthly reports are generated on time and that data processing pipelines run without interruption.
• CI/CD & Deployment Monitoring: Monitor webhook triggers for code commits and deployment events, and ensure that scheduled build or deployment jobs complete successfully.
• Third-Party Integrations: Keep tabs on webhooks received from external services (e.g., GitHub, Twilio, SendGrid) to guarantee seamless integration and data flow.

FAQ

Q: What is the pricing model for HookWatch?

A: HookWatch offers a tiered pricing structure, including a Free plan perfect for side projects with limited endpoints and jobs. Paid plans like Starter, Pro, and Team offer increased limits on endpoints, jobs, history retention, and team members, with options for advanced alerting integrations.

Q: Does HookWatch work offline?

A: Yes, the HookWatch CLI is local-first and operates 100% offline for managing and running your jobs. Cloud synchronization and the dashboard are optional features that enhance accessibility and provide a centralized view.

Q: What integrations does HookWatch support for alerts?

A: HookWatch supports popular communication platforms for alerts, including Slack, Discord, PagerDuty, and email. You can choose the channels that best fit your team's workflow.

Q: Can I replay webhook events?

A: Absolutely. HookWatch provides a convenient one-click replay feature for webhook events, allowing you to easily re-send events for testing or recovery purposes.

Q: How does HookWatch handle failed cron jobs?

A: When a cron job fails, HookWatch automatically attempts retries using exponential backoff. Alerts are only sent after all configured retry attempts have been exhausted, minimizing alert fatigue for transient issues.