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Embedded and Continuous Integrations

Customer integrations consume delivery capacity and become separately maintained services. Beetl builds and runs them as versioned integrations.

Where this starts

First scope
One source system, one target contract, one historical import or continuing sync
Output
A versioned integration running on Beetl, with retries and replay
Who you need
A named technical owner who can supply access and approve mappings

Source systems

  • Databases
  • ERP systems
  • Files and spreadsheets
  • Customer-hosted systems

Beetl answer

A versioned integration, run on Beetl

Problem signals

Getting the first records out of a customer's system takes a capable engineer an afternoon. The cost comes in the months after: credentials expire, a schema changes without notice, an incremental load quietly stops picking up deletions.

Each integration becomes a small application with its own deployment, logging and failure modes, and usually one person who understands it. Ship a dozen and maintenance, not build cost, caps how many customers you can onboard.

We keep the customer-specific part explicit: how the source is accessed, the field and value mappings, the rules for that account. Credentials, scheduling, raw data retention, incremental state, validation, deployment and versioning come from the platform, the same for every integration we run.

Start with one source, one destination and one integration. You judge a real production result before committing to anything larger.

  • Integration requests wait behind roadmap work, and each one costs a sprint.

  • Every connector deploys, logs and fails in its own way, so only the person who built it can support it.

  • A customer reports missing records, and nobody knows which integration to check first.

How we work

The genuinely custom part stays yours to approve. The operating layer around it is the same for every connector we run.

  1. 01

    Agree the target contract

    Before anything is built, we pin down what has to arrive: the fields, the shape, the acceptance criteria, and what counts as a complete load.
  2. 02

    Build the source and the mapping

    Source access, incremental behaviour, and field and value mappings become explicit definitions you can read and review rather than logic inside a service.
  3. 03

    Run it on the platform

    Scheduling, retries, replay and versioning come from Beetl rather than from connector-specific code. The next integration reuses the same layer.

What you are left with

The engagement ends with something running in production, not a document describing what should be built.

  • A running connector with its source and mapping definitions kept explicit and versioned.

  • Ingested data preserved in its source-faithful form, so questions can be answered without re-extracting.

  • One operating model across connectors instead of a different answer per integration.

Bring one integration you currently maintain by hand.

Tell us the source system, the target contract, and what has to arrive. We will scope the smallest production data flow and tell you honestly if it is not a fit.

Talk to us