Conductor Read Only
You set up a conductor read only mode by assigning view permissions to user roles. This setup lets engineers inspect workflow states and task logs without changing live definitions. Teams often share broad admin keys during incidents to fix broken task queues fast. Broad roles let anyone restart tasks, edit workflow variables, or delete active schedules by mistake. Separating view rights from write rights stops accidental changes in your production system. How a conductor read only setup works
Read-Only Root Filesystem: the complete guide
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You set up a conductor read only mode by assigning view permissions to user roles. This setup lets engineers inspect workflow states and task logs without changing live definitions. Teams often share broad admin keys during incidents to fix broken task queues fast. Broad roles let anyone restart tasks, edit workflow variables, or delete active schedules by mistake. Separating view rights from write rights stops accidental changes in your production system.
How a conductor read only setup works in practice
Workflow engines run complex background jobs and track every step across many services. Engineers need to see task inputs, outputs, and failure logs to debug broken runs. A conductor read only setup gives your team this view without granting edit rights. You create a role that allows read requests on workflows, tasks, and execution logs. Then you map that role to your user groups in your identity provider.
You can also enforce this rule at the network or API routing level. The router checks the HTTP method of every incoming request from the user interface. It allows GET requests to pass through to the backend engine for viewing data. It blocks POST, PUT, and DELETE requests that start, pause, or change workflows. For search endpoints that use POST, teams restrict the role to specific query paths. This lets users search execution history while blocking state changes across the cluster.
What native view roles solve and what they miss
Native view roles stop users from clicking the retry or terminate buttons by mistake. They also stop scripts from pushing bad task definitions to your live server. This basic step keeps your daily workflow schedules safe from human error. It helps teams pass basic audits by showing that most users cannot change jobs.
Still, a native role only decides who can log in and call an endpoint. It does not inspect the data inside the workflow payloads that return to users. Workflow inputs and outputs often hold customer emails, phone numbers, or card numbers. Anyone with a view role can read those sensitive fields in the task logs. Native roles also lack fine controls for temporary write tasks during an outage. Admins must manually grant a higher role and remember to revoke it later. If an admin forgets, that user keeps permanent write rights on production workflows.
Read-Only Root Filesystem: architecture patterns and best practices
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Managing temporary write tasks and payload data
During a real outage, an on-call engineer must restart a stuck workflow fast. Waiting for an admin to edit identity groups takes too much time. Teams often bypass the read rule by sharing a static admin key in chat. Once you share a static key, you lose track of who ran which command. Your audit logs only show the shared account name instead of the real user.
A better design separates daily viewing from single write actions at the request level. Engineers keep view permissions for normal work and ask for approval on write requests. At the same time, the system should check task payloads before displaying results. Masking rewrites matched fields in results, such as national IDs or phone numbers. This keeps private customer data safe while engineers read logs to fix broken tasks.
Govern statements and responses across databases and APIs
Good config and scoped roles are needed setup. They do not check single queries in flight or mask sensitive fields in returned rows. Across Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, and internal HTTP endpoints, hoop.dev sits inline in the protocol beside each supported service as an open-source proxy, a sidecar for your database or API. For every query or command an AI agent or engineer runs against production, hoop.dev decides to pass, mask, block, or hold it for human approval.
First, hoop.dev guardrails block banned queries before they run or hold risky ones for review, and hoop.dev data masking rewrites matched sensitive values in responses in memory. Furthermore, hoop.dev holds SOC 2 Type II and is open source on GitHub.
Frequently asked questions
Can a conductor read only role still search workflow executions?
Yes, view roles can run search queries to find past or active workflow runs. If your engine uses POST requests for search, allow only those specific search paths.
Does a read role hide sensitive data in task logs?
No, standard view roles return the full task input and output payloads in plain text. You need data masking in front of the engine to rewrite emails or card numbers.
How should engineers retry failed workflows if they have read permissions?
Engineers should request temporary approval for write actions instead of using shared admin keys. This keeps daily work safe while recording who ran each retry command.