Replace one-off customer integrations with a productized delivery layer
Every customer-specific integration your team has shipped is a future maintenance line. Replace the constellation with one platform that ships them all.
The problem
The pattern is familiar: an enterprise customer asks for a specific integration. Engineering picks it up, writes a bespoke job that pulls events and pushes to the customer's system, deploys it. Six months later the customer reports it's broken. Another six months later, a different customer asks for a similar-but-different integration, and the cycle starts again.
These integrations don't share code well. Each customer wants slightly different fields, slightly different filtering, a slightly different schedule. Each one accumulates its own quirks. The eight integrations on your roadmap become twelve. The integrations team you didn't have becomes a team of two who do nothing else.
Meanwhile, the actual integrations are pretty similar: an event happens in your system, you transform it, and you send it somewhere the customer owns. The differences are configuration, not code.
How Pushrail solves it
Pushrail collapses that pile of bespoke jobs into a single delivery layer with per-customer configuration. The integration code is the same for every customer; what changes per customer is destination type, credentials, routing filters, and (optionally) field mapping.
Migrating an existing one-off integration takes a couple of hours: identify the source events your service already emits, point them at Pushrail's ingest API, and configure the destination in Pushrail to mirror what the old job did. The customer sees the same data land in the same place, with delivery logs and replay they didn't have before.
New customer integration requests stop being engineering work. They become a few minutes of configuration in the dashboard (or self-serve through the embedded portal).
What you ship to your customers
- A single ingest call from your service for every product event, Pushrail handles the per-customer fan-out.
- Configurable destinations per customer: webhook, S3, BigQuery, Snowflake, Kafka, SQS, Postgres, and 11 more.
- Per-customer routing rules, filter by event type, payload field, or any envelope attribute.
- Delivery logs your customers can see (no more 'is the integration working?' tickets).
- Replay any historical window into any destination, handy when a customer asks for a backfill.
What this replaces
- Per-customer cron jobs, Lambda functions, and SFTP scripts.
- The 'integrations team' that nobody planned for but now owns 12 bespoke pipelines.
- On-call alerts for one-off jobs that nobody understands except the engineer who wrote them.
- The customer-facing engineering ticket queue for 'can you also send X to Y?' requests.
Concrete walkthrough
- 1. Pick one existing one-off integration. Identify the source events in your service.
- 2. Add a Pushrail ingest call alongside (not instead of) the existing job. Both run in parallel.
- 3. Configure a Pushrail destination matching the old job's target. Test with the sandbox.
- 4. Once the parallel run is delivering matching data, turn off the old job. Migrate the next customer.
- 5. For new customer requests, configure the destination instead of writing code. Engineering doesn't get involved unless a brand-new destination type is needed.
Destinations this uses
HMAC-signed JSON POSTs with retries, replay, and a per-attempt audit trail.
Deliver events as NDJSON files into a customer-owned S3 bucket, batched, partitioned, and idempotent.
Stream events directly into a customer's BigQuery dataset, table per event type or single wide table.
Native Kafka producer with SASL/TLS, deliver events into a customer's topic with configurable partitioning.
Related use cases
Stop building one-off CSV exports, let customers stream events into their own warehouse, lake, or queue.
Drop an embedded portal into your app where customers configure their own destinations, without building the portal yourself.
Let enterprise customers point your events at their own infrastructure, close the ACV-driving deals without bespoke engineering.
Frequently asked questions
Why are one-off integrations such a maintenance burden?
They don't share code well, each customer wants slightly different fields, filtering, or schedule, so each accumulates its own quirks and its own on-call surface. The underlying job is actually similar across customers: an event happens, you transform it, you send it somewhere the customer owns. The differences are configuration, not code.
How long does it take to migrate an existing one-off integration?
Typically a couple of hours: identify the source events your service already emits, point them at Pushrail's ingest API, and configure a Pushrail destination to mirror what the old job did. You can run both in parallel and turn off the old job once the data matches.
What does the customer get that the old job didn't have?
Delivery logs they can see themselves, per-customer routing rules to filter by event type or payload field, and replay for any historical window, which removes the 'is the integration working?' and backfill ticket queues.
When does engineering still need to get involved?
Only when a brand-new destination type is needed. New customer requests for an existing destination are configured in the dashboard or self-served through the embedded portal, not built.
Replace one-off customer integrations with a productized delivery layer
Sandbox is open. No credit card.