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matrix-docker-ansible-deploy/roles/matrix-synapse/templates/synapse/worker.yaml.j2

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Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
#jinja2: lstrip_blocks: "True"
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
worker_app: synapse.app.{{ matrix_synapse_worker_details.type }}
worker_name: {{ matrix_synapse_worker_details.type ~ ':' ~ matrix_synapse_worker_details.port }}
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
worker_replication_host: matrix-synapse
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
worker_replication_http_port: {{ matrix_synapse_replication_http_port }}
worker_listeners:
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
{% if matrix_synapse_worker_details.type not in [ 'appservice', 'federation_sender', 'pusher' ] %}
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
- type: http
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
port: {{ matrix_synapse_worker_details.port }}
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
resources:
- names:
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
{% if matrix_synapse_worker_details.type in [ 'generic_worker', 'frontend_proxy', 'user_dir' ] %}
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
- client
Add worker_name to synapse worker config template & restrict federation listener; frontend_proxy / user_dir don't need it
2020-09-09 17:57:49 +00:00
{% endif %}
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
{% if matrix_synapse_worker_details.type in [ 'generic_worker' ] %}
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
- federation
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
{% elif matrix_synapse_worker_details.type in [ 'media_repository' ] %}
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
- media
{% endif %}
synapse workers: untangle config template and specify bind address .. to mitigate log noise - WARNING: Failed to listen on 0.0.0.0, continuing because listening on [::]
2020-12-01 22:49:23 +00:00
{% endif %}
Prevent Synapse warning about enabling metric listeners with enable_metrics: false > synapse.app.generic_worker - 606 - WARNING - None - Metrics listener configured, but enable_metrics is not True!
2021-01-25 10:24:12 +00:00
{% if matrix_synapse_metrics_enabled %}
synapse workers: define and expose METRICS port for each worker As seen on TV: https://github.com/matrix-org/synapse/blob/master/docs/metrics-howto.md#monitoring-workers
2020-12-01 21:49:15 +00:00
- type: metrics
synapse workers: untangle config template and specify bind address .. to mitigate log noise - WARNING: Failed to listen on 0.0.0.0, continuing because listening on [::]
2020-12-01 22:49:23 +00:00
bind_address: ['127.0.0.1']
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
port: {{ matrix_synapse_worker_details.metrics_port }}
Prevent Synapse warning about enabling metric listeners with enable_metrics: false > synapse.app.generic_worker - 606 - WARNING - None - Metrics listener configured, but enable_metrics is not True!
2021-01-25 10:24:12 +00:00
{% endif %}
synapse workers: define and expose METRICS port for each worker As seen on TV: https://github.com/matrix-org/synapse/blob/master/docs/metrics-howto.md#monitoring-workers
2020-12-01 21:49:15 +00:00
Run Synapse workers in their own containers This switches the `docker exec` method of spawning Synapse workers inside the `matrix-synapse` container with dedicated containers for each worker. We also have dedicated systemd services for each worker, so this are now: - more consistent with everything else (we don't use systemd instantiated services anywhere) - we don't need the "parse systemd instance name into worker name + port" part - we don't need to keep track of PIDs manually - we don't need jq (less depenendencies) - workers dying would be restarted by systemd correctly, like any other service - `docker ps` shows each worker separately and we can observe resource usage
2021-01-25 10:14:46 +00:00
{% if matrix_synapse_worker_details.type == 'frontend_proxy' %}
worker_main_http_uri: http://matrix-synapse:8008
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
{% endif %}
refactor to use new workers and routes they serve
2020-08-28 11:53:39 +00:00
Add initial support for synapse workers · needs documentation; no checks yet for port clashes or typos in worker name · according to https://github.com/matrix-org/synapse/wiki/Workers-setup-with-nginx#results about 90% of requests go to the synchrotron endpoint · thus, the synchrotron worker is especially suited to be load-balanced · most of the other workers are documented to support only a single instance · https://github.com/matrix-org/synapse/blob/master/docs/workers.md
2020-04-10 21:44:53 +00:00
worker_daemonize: false
worker_log_config: /data/{{ matrix_server_fqn_matrix }}.log.config
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