Conductor Custom Integration
To build a conductor custom integration, register a task and run a worker service. Your worker polls the server for jobs, runs your logic, and returns results. Teams often set up these workers with shared service keys to reach databases and internal apps. When those keys have broad roles, a single bad workflow can alter or expose core data. How a conductor custom integration works in practice In a standard workflow setup, the central engine tracks state and schedules tasks. It does not run yo
Custom Integration: the complete guide
Architecture patterns, implementation strategies, and security best practices. Delivered to your inbox.
To build a conductor custom integration, register a task and run a worker service. Your worker polls the server for jobs, runs your logic, and returns results. Teams often set up these workers with shared service keys to reach databases and internal apps. When those keys have broad roles, a single bad workflow can alter or expose core data.
How a conductor custom integration works in practice
In a standard workflow setup, the central engine tracks state and schedules tasks. It does not run your custom business logic inside the main server process. Instead, you define a task type and deploy an external worker app. That worker polls the task queue over HTTP or gRPC on a set schedule.
When a workflow reaches your step, the worker pulls the task payload. The worker then talks to your database, internal API, or cloud service. Once the job finishes, the worker sends the status and output back to the server. This design keeps the main engine fast and lets teams write workers in any language.
To talk to downstream systems, the worker needs secrets like API keys or database passwords. Teams usually load these secrets into the worker host at startup. The worker uses the same static role for every task it picks up from the queue.
Setting up worker roles and task queues
A clean setup starts by splitting tasks into separate queues by risk level. Read-only tasks should run on one worker pool, while write tasks use another pool. You then assign a distinct service role to each worker pool in your cloud or database.
Next, you restrict which workflows can schedule tasks on the high-privilege queues. Native role rules in the workflow server let you limit who can edit or trigger specific definitions. You also set timeouts and retry limits on each task definition to stop runaway jobs.
Teams also use task domains to route jobs to specific worker groups during testing. This lets a developer test a new worker build without touching the main production queue. Once the test passes, you promote the task definition to the main worker group.
Custom Integration: architecture patterns and best practices
Continue reading? Get the full guide.
Free. No spam. Unsubscribe anytime.
What native worker permissions solve and what keeps the session active
Native workflow rules and service roles solve the basic login problem. They decide which user can start a workflow and which worker can log into a database. This stops unauthorized apps from polling the queue or reading task payloads.
Still, static worker roles leave a big gap once the session starts. The database or internal API only sees the shared identity of the worker host. It does not know which human triggered the workflow or why the task is running.
Native login checks also cannot inspect individual queries or commands in flight. If a worker has write permissions, it can run a safe update or a broad delete statement. Also, task outputs often return raw customer emails, phone numbers, or card numbers into workflow logs. Anyone who can read the workflow history can then see those sensitive values in plain text.
Managing sensitive data and audits in workflow tasks
Because workflow engines store task inputs and outputs for debugging, data hygiene matters. If a worker fetches a full user record, that record lands in the execution store. Teams must scrub sensitive fields before the worker sends the payload back to the server.
Audit trails also get messy when dozens of workflows share one worker role. When an incident happens, database logs only show the worker account name. Security teams have to dig through workflow execution histories and match timestamps by hand. Adding clear metadata to every task request helps link database actions back to the right workflow run.
Check database and API queries on the wire
Identity tools, roles, and network rules decide who opens a session. Setup alone cannot check what each query does or mask sensitive values in a response once a session starts. When workflows touch Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, or internal HTTP APIs, hoop.dev sits inline in the wire protocol beside those services as an open-source proxy, a sidecar for your Postgres or API. On every query an AI agent or engineer runs against production, hoop.dev decides to pass, mask, block, or hold it for human review.
Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run, and hoop.dev data masking rewrites matched sensitive values in responses in memory. Furthermore, hoop.dev holds SOC 2 Type II, is MIT licensed, and writes every query and decision to an audit trail that generates evidence for HIPAA, GDPR, and PCI DSS. See the source on GitHub.
Frequently asked questions
How does a custom worker talk to the workflow server?
The worker makes outbound requests to the server over HTTP or gRPC to poll for work. It pulls a task, runs the job locally, and sends the result back over the same channel.
Where should I store secrets for a conductor custom integration?
Never put passwords or API keys inside workflow definitions or task input payloads. Store secrets in your host secret manager and load them into the worker process at runtime.
How can I stop sensitive data from leaking into workflow logs?
Filter the response payload inside the worker or apply data masking before returning task outputs. Masking rewrites matched fields like emails, phone numbers, and card numbers so raw values do not enter logs.