All use cases

Quicklog for Developers

Track deployments, debug webhooks, and see errors as they happen. One API endpoint, no agents to install.

How it works

Quicklog gives you a stream of the events that matter: deployments, webhook calls, errors, key user actions. You decide what to track and how to organize it into channels.

Click any event to see the full payload - syntax-highlighted and searchable. When debugging a webhook issue, you see exactly what was sent. When investigating an error, you see the stack trace and context.

The API is simple: one endpoint, a JSON payload, and you are done. Add tracking with a few lines of code and events start flowing immediately.

What developers typically track

Deployments

Track every deploy. See which version is running, who deployed it, and correlate deploys with issues.

Webhook events

See exactly what payloads you receive from Stripe, GitHub, or any other service.

Errors

See errors as they occur with full stack traces and user context.

Examples

Track a deployment
// In your CI/CD pipeline
await quicklog.track({
  channel: "deployments",
  event: "deploy.completed",
  description: `v${version} deployed to production`,
  metadata: {
    version,
    commit: process.env.GITHUB_SHA,
    actor: process.env.GITHUB_ACTOR,
    duration: deployDurationMs
  }
})
Track webhook receipts
// In your webhook handler
await quicklog.track({
  channel: "webhooks",
  event: `stripe.${event.type}`,
  description: `Webhook from Stripe`,
  metadata: event.data.object
})

Developer-first event tracking that scales with your stack

Engineering teams often need a saas analytics tool that fits existing code patterns and deploy workflows. Quicklog keeps the integration surface minimal while still capturing rich context for webhooks, deployments, errors, and key user actions.

That balance makes it useful for both incident response and long-term product analytics. You can trace API failures in real time, then reuse the same event model to evaluate feature adoption and conversion behavior. In practice, this becomes a shared observability layer across product and engineering.

Try it out

Start tracking events in minutes. No agents to install.