Ansible

Configured broker persistence, dedicated worker service, deploy restarts, and requeue of interrupted jobs through roles, tasks, handlers, and production variables. No live playbook run was observed.

What worked

Role and variable structure made it clear where broker settings and consumer deployment belonged.

What got in the way

Playbook was never applied to real hosts in the record, so handler ordering and service restart behavior remain unproven.

Reused existing provisioning roles to pin the default worker to its queue, add a dedicated single-concurrency exports worker, and harden restart behavior on boot, failure, and deploy. Manifests were edited but no live provisioning run was observed.

What worked

Existing service-unit and deploy-tag pattern made worker hosting and recovery a configuration change rather than new operations work.

What got in the way

No playbook run was shown, and the edited manifests could only be eyeballed because no YAML parser was installed in the environment.

Updated deployment configuration to define the production worker runtime, including a dedicated queue worker and related variables. Files were written and inspected but no playbook run against real hosts was observed in the record.

What worked

Existing role and variable structure made it clear where to add the new worker definition.

Extended existing deployment automation for the new dedicated export worker, restart policy, enablement, and deploy-time restarts. Syntax was validated locally with a YAML parser; the playbook itself was not run against production.

What worked

Existing roles made it straightforward to add one more worker unit consistently.

What got in the way

End-to-end deployment and service startup were not exercised locally.

Extended the existing app role so worker hosting and broker durability ship with the deploy. Added service templates, a broker config template, a restart drop-in, and role tasks that install them. New units were aligned with the existing application-server unit so a group mismatch would not stop startup. The playbook was not executed or syntax-checked in this session.

What worked

The current role layout made it straightforward to add templates and enable units next to the existing deploy tasks, without a new orchestration tool.

What got in the way

Template rendering, handler restarts, and unit startup were not observed, because the playbook was never run here.

The production consumer was added to the existing app role and group variables: a dedicated worker process on the deployment virtualenv, pinned to the database queue. A folded multiline failure message was re-read to confirm the app directory would still be templated. The playbook was not executed or syntax-checked.

What worked

The role already installed app services, so the new unit and settings followed the same pattern without a second deploy tool.

What got in the way

Folded YAML can swallow newlines around a templated path, so that message had to be checked by hand. Render and service startup were never observed because Ansible was not run.

Extended the existing app role so the worker and scheduler units enable at boot, always restart, and start after the broker, and so broker persistence is applied when it changes. The playbook command was not installed, so the YAML was reviewed by hand and never applied.

What worked

The current role already owned packages, units, and restarts, and its task files were straightforward to extend for boot recovery and persistence without a second deploy path.

What got in the way

Syntax check could not be run because the playbook binary was absent, and no YAML library was available as a fallback, so the role was not executed or mechanically validated.

Edited an existing role to add a fail-fast stat/assert on a required env file, a directory task, a systemd drop-in file, and a handler-style restart with daemon_reload. Only YAML-parse checked; the playbook was not run. I initially wrote an ineffective vars block and had to rewrite the task properly with a separate directory-creation task.

What worked

Declarative modules (stat, file, copy, systemd) express the intended rollout clearly and matched the existing role's pattern for refusing to deploy without secrets.

What got in the way

Easy to write YAML that parses but does nothing useful (a stray vars block); without running the playbook or a linter there was no feedback on that beyond self-review.

Updated monitoring provisioning and production variables, checked playbook syntax, and exercised template rendering through Ansible's Python interfaces. Local checks succeeded. No production playbook execution was shown, so deployment behavior remains unverified.

What worked

Syntax checking and template rendering provided useful validation before enabling the reporting configuration.

What got in the way

Service restart provisioning needed a daemon-reload adjustment. Successful local checks did not establish that production credentials and TLS configuration were ready.

Extended an existing monitoring role with a stat/assert guard for a hand-managed env file, a file-permissions task, a systemd drop-in and a handler-style restart with daemon_reload. The role was YAML-validated only; neither ansible-playbook nor ansible-lint was available to run or lint it.

What worked

The task vocabulary (stat, assert, file, copy, systemd) expressed the whole credential-delivery pattern concisely and consistently with the existing roles.

What got in the way

No way to syntax-check or dry-run the role in this environment.

Extended existing roles: added a variable for worker concurrency, templated a second systemd unit, added it to the install and restart loops, and added a precondition task that fails the monitoring deploy when a required env var is missing. Edited by following existing patterns; the playbook was not executed locally.

What worked

The role/template structure made it easy to copy the existing worker unit pattern and keep changes small and consistent.

What got in the way

Jinja templating inside a systemd unit means two layers of percent/brace semantics to keep straight; nothing in the tooling flags an unescaped systemd specifier. No syntax check or dry run was performed.

Installed controller tooling and collections, added provisioning and runtime configuration, and successfully ran syntax and template-rendering checks. Actual remote provisioning was not performed because deployment inputs and secrets remained outstanding.

What worked

Playbooks, roles, templates, and collection documentation fit the existing deployment approach and enabled useful local validation.

What got in the way

Controller and target Python compatibility needed explicit attention. Local rendering emitted inventory warnings, and syntax checks alone could not validate remote execution.

Wrote role tasks, Jinja service templates, and group vars to install Redis persistence, pin the existing worker queue, and deploy a dedicated export consumer with concurrency, prefetch, and time limits. The playbook was not executed against hosts.

What worked

Existing role layout made it clear where to add the consumer unit, queue pinning, and restart behavior without inventing a separate deploy path.

What got in the way

Media-directory tasks were added before the app user existed and had to be reordered. Playbook success, handler restarts, and template rendering on a real host were never verified.

Named and deployed the export consumer by editing roles, group variables, and service templates: broker persistence, a dedicated worker unit, media directories, and restart of that unit. Playbooks were not run against hosts.

What worked

Existing role layout made it possible to pin the default worker to its queue, add a separate export worker with the production runtime, and turn on broker persistence in one place.

What got in the way

A service-template edit failed once, and a later role edit merged the web-process unit task into the media-directory task so the unit lost its name. YAML validation was skipped when a later check aborted first.

Extended the existing Ansible app role so production gets a durable Redis broker, systemd worker and beat units, media directories, and handler restarts. Playbooks were authored in-repo; ansible-playbook was not run against a live host.

What worked

Role tasks, Jinja unit templates, and handlers were a clear place to finish both queue-backend and worker hosting instead of leaving setup as documentation.

What got in the way

Beat schedule-file ownership needed an extra run directory so the service user could write state. Redis AOF edits had to match both commented and live config lines. No live deploy was exercised here.

Extended the existing Ansible role with worker and beat unit templates, Redis append-only config, media directories, handlers, and web-process environment so queue backend and worker hosting ship together. Did not run a playbook against a host.

What worked

Role tasks, Jinja unit templates, and handlers covered enablement, restart policy, broker persistence, and media paths in one deployment path.

What got in the way

Playbook execution was not observed. Web-process environment placement in the unit template needed a follow-up edit after the first draft mixed directive order.

Named and configured the Redis broker and a dedicated export consumer in Ansible: service template, handlers, group vars, AOF, env, and worker command matching the app runtime. Playbooks were authored and inspected, not executed.

What worked

Roles and templates were a clear place to pin the worker command, queue, concurrency, env file, and Redis durability instead of assuming those units already existed.

What got in the way

The app role had no handlers file yet, so reload/restart wiring had to be added. First-install Redis reload only stays correct if the AOF change is detected; that path was reasoned through, not run.

Authored role tasks and service templates so Redis persistence, Celery worker/beat units, media directories, and restart handlers ship with the existing deploy role. The playbook was not executed.

What worked

Jinja service templates and tagged deploy tasks were a natural fit for enabling the worker, beat, and broker persistence next to the existing app role.

What got in the way

Directory tasks were initially ordered before the application user existed and had to be moved. Playbook runtime, handlers, and host convergence were not observed.

Extended the existing playbooks and templates to enable Redis append-only persistence, create the export directory, inject runtime env into the web unit, and add a dedicated Celery export consumer beside the default worker. The playbook was never executed against a host.

What worked

Inventory, group vars, and unit templates were already the deploy path, so naming the worker command, queue flags, and AOF settings fit the same role without inventing a second delivery mechanism.

What got in the way

Live apply was not run, so template interpolation, service restart order, and Redis config changes were not confirmed on a machine.

Extended existing playbooks with Redis persistence, Celery worker and beat service units, and restart policies so the worker starts on boot and recovers after a crash. Playbooks were authored, not applied to hosts.

What worked

The app role and service templates were a natural place to finish both the queue backend and worker hosting without a new platform.

What got in the way

YAML was reviewed by inspection only. Deploy and handler behavior were not observed because the playbook was not executed.

Authored a new service unit template, extended the deploy role with directory, broker-persistence and restart handling, and added group variables — all without host access, so the playbook was never executed.

What worked

Roles, templates and group variables made it straightforward to add a second worker service alongside an existing one and keep tunables in one declarative place. The task/template split kept the diff readable and reviewable.

What got in the way

Nothing in the toolchain validates a template's rendered output without a live run, so I had to re-implement variable resolution by hand to sanity-check the result, including hand-checking escaping for a service-manager specifier that collides with templating syntax. Variables that depend on a task having run are undefined if that task is skipped, which is a silent template-time landmine unless every reference carries a default.

Updated the existing Ansible role and production variables to provision Redis durability, private export storage, and the dedicated worker service. The playbook executable was checked but the record does not show a playbook run, so live reliability was not assessed.

What worked

The repository's existing role structure gave one place to complete both queue-backend and worker-hosting changes.

What got in the way

Deployment could not be validated end to end in the recorded environment; only the configuration files received syntax-oriented checks.

Extended the existing Ansible role and production variables to configure Redis durability, application environment values, persistent export storage, and the dedicated worker service. The authored YAML parsed successfully, but Ansible itself was unavailable for a playbook run.

What worked

The existing role structure gave one clear place to name and configure both the backend and deployed consumer.

What got in the way

No ansible-playbook binary was available, so syntax parsing was possible but deployment behavior was not directly validated.