Built-in metrics for Sidekiq monitoring out of the box! Part of the yabeda suite.
Sample Grafana dashboard ID: 11667
gem 'yabeda-sidekiq'
# Then add monitoring system adapter, e.g.:
# gem 'yabeda-prometheus'
And then execute:
$ bundle
If you're not on Rails then configure Yabeda after your application was initialized:
Yabeda.configure!
If you're using Ruby on Rails then Yabeda will configure itself automatically!
And that is it! Sidekiq metrics are being collected!
Additionally, depending on your adapter, you may want to setup metrics export. E.g. for yabeda-prometheus:
# config/initializers/sidekiq or elsewhere
Sidekiq.configure_server do |_config|
Yabeda::Prometheus::Exporter.start_metrics_server!
end
Metrics representing state of current Sidekiq worker process and stats of executed or executing jobs:
- Total number of executed jobs:
sidekiq_jobs_executed_total
- (segmented by queue and class name) - Number of jobs have been finished successfully:
sidekiq_jobs_success_total
(segmented by queue and class name) - Number of jobs have been failed:
sidekiq_jobs_failed_total
(segmented by queue and class name) - Time of job run:
sidekiq_job_runtime
(seconds per job execution, segmented by queue and class name) - Time of the job latency
sidekiq_job_latency
(the difference in seconds since the enqueuing until running job) - Maximum runtime of currently executing jobs:
sidekiq_running_job_runtime
(useful for detection of hung jobs, segmented by queue and class name)
Metrics representing state of the whole Sidekiq installation (queues, processes, etc):
- Number of jobs in queues:
sidekiq_jobs_waiting_count
(segmented by queue) - Time of the queue latency
sidekiq_queue_latency
(the difference in seconds since the oldest job in the queue was enqueued) - Number of scheduled jobs:
sidekiq_jobs_scheduled_count
- Number of jobs in retry set:
sidekiq_jobs_retry_count
- Number of jobs in dead set (“morgue”):
sidekiq_jobs_dead_count
- Active processes count:
sidekiq_active_processes
- Active servers count:
sidekiq_active_workers_count
By default all sidekiq worker processes (servers) collects global metrics about whole Sidekiq installation. This can be overridden by setting collect_cluster_metrics
config key to true
for non-Sidekiq processes or to false
for Sidekiq processes (e.g. by setting YABEDA_SIDEKIQ_COLLECT_CLUSTER_METRICS
env variable to no
, see other methods in anyway_config docs).
Metrics collected where jobs are being pushed to queues (everywhere):
-
Total number of enqueued jobs:
sidekiq_jobs_enqueued_total_count
(segmented byqueue
andworker
class name) -
Total number of rerouted jobs:
sidekiq_jobs_rerouted_total_count
(segmented by origin queuefrom_queue
, rerouted queueto_queue
, andworker
class name).Rerouted jobs are jobs that on enqueue were pushed to different queue from the one specified in worker's
sidekiq_options
, most probably by some middleware.
You can add additional tags to these metrics by declaring yabeda_tags
method in your worker.
# This block is optional but some adapters (like Prometheus) requires that all tags should be declared in advance
Yabeda.configure do
default_tag :importance, nil
end
class MyWorker
include Sidekiq::Worker
def yabeda_tags(*params) # This method will be called first, before +perform+
{ importance: extract_importance(params) }
end
def perform(*params)
# Your logic here
end
end
Configuration is handled by anyway_config gem. With it you can load settings from environment variables (upcased and prefixed with YABEDA_SIDEKIQ_
), YAML files, and other sources. See anyway_config docs for details.
Config key | Type | Default | Description |
---|---|---|---|
collect_cluster_metrics |
boolean | Enabled in Sidekiq worker processes, disabled otherwise | Defines whether this Ruby process should collect and expose metrics representing state of the whole Sidekiq installation (queues, processes, etc). |
declare_process_metrics |
boolean | Enabled in Sidekiq worker processes, disabled otherwise | Declare metrics that are only tracked inside worker process even outside of them. Useful for multiprocess metric collection. |
retries_segmented_by_queue |
boolean | Disabled | Defines wheter retries are segemented by queue or reported as a single metric |
label_for_error_class_on_sidekiq_jobs_failed |
boolean | Disabled | Defines whether error label should be added to sidekiq_jobs_failed_total metric. |
-
Implement optional segmentation of schedule/dead sets
It should be disabled by default as it requires to iterate over all jobs in sets and may be very slow on large sets.
-
Maybe add some hooks for ease of plugging in metrics for myriads of Sidekiq plugins?
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Bug reports and pull requests are welcome on GitHub at https://github.com/yabeda-rb/yabeda-sidekiq.
-
Bump version number in
lib/yabeda/sidekiq/version.rb
In case of pre-releases keep in mind rubygems/rubygems#3086 and check version with command like
Gem::Version.new(Yabeda::Sidekiq::VERSION).to_s
-
Fill
CHANGELOG.md
with missing changes, add header with version and date. -
Make a commit:
git add lib/yabeda/sidekiq/version.rb CHANGELOG.md version=$(ruby -r ./lib/yabeda/sidekiq/version.rb -e "puts Gem::Version.new(Yabeda::Sidekiq::VERSION)") git commit --message="${version}: " --edit
-
Create annotated tag:
git tag v${version} --annotate --message="${version}: " --edit --sign
-
Fill version name into subject line and (optionally) some description (list of changes will be taken from changelog and appended automatically)
-
Push it:
git push --follow-tags
-
GitHub Actions will create a new release, build and push gem into RubyGems! You're done!
The gem is available as open source under the terms of the MIT License.