What should I use for webhook delivery retries and monitoring?

For webhook delivery retries and monitoring, a good setup usually has three parts:

1) Retry mechanism

Use an exponential backoff strategy with:

• Immediate retry for transient failures
• Then retries after increasing delays, e.g. 1m, 5m, 15m, 1h
• Jitter to avoid retry storms
• A max retry count or time window so failures don’t retry forever

Also make sure webhooks are:

• Idempotent on the receiver side
• Sent with a unique event ID
• Stored in a delivery queue/outbox so you can reprocess safely

2) Dead-letter / failed delivery handling

After retries are exhausted:

• Move the delivery to a dead-letter queue or failed-delivery store
• Keep the payload, response status, attempt count, and error reason
• Provide a way to manually redeliver after fixing the issue

3) Monitoring and observability

Track at least:

• Delivery success rate
• Retry rate
• Failure rate by status code
• Latency / response time
• Queue backlog
• Age of oldest undelivered webhook
• Per-endpoint health trends

Set alerts for:

• High 5xx or timeout rates
• Repeated failures for the same endpoint
• Growing backlog
• Delivery delays beyond SLA

Common tools/patterns

Depending on your stack:

• Queue + worker: SQS, RabbitMQ, Kafka, Redis queues
• Scheduled retries: delayed jobs / cron / task scheduler
• Monitoring: Prometheus + Grafana, Datadog, New Relic, CloudWatch
• Error tracking: Sentry, Rollbar
• Logs/tracing: structured logs, OpenTelemetry

If you want a simple recommendation

A solid baseline is:

• Queue-based delivery
• Exponential backoff with jitter
• Dead-letter queue
• Structured logs + metrics
• Dashboards and alerts

If you tell me your stack (e.g. Node, Python, AWS, GCP, etc.), I can recommend a concrete implementation and tools.