Prometheus Instrumentation for Sidekiq. This gem provides:
- Sidekiq server middleware for reporting job metrics
- Global metrics reporter that uses the Sidekiq API for reporting Sidekiq cluster stats (requires Sidekiq::Enterprise)
- Sidecar Rack server to provide scrape-able endpoint for Prometheus. This allows for metrics to be reported without having to run a separate prometheus exporter process.
Add this line to your application's Gemfile:
gem 'sidekiq_prometheus'And then execute:
$ bundle
Or install it yourself as:
$ gem install sidekiq_prometheus
To run with the defaults add this to your Sidekiq initializer
SidekiqPrometheus.setup
This will register metrics, start the global reporter (if available), and start the Rack server for scraping. The default port is 9359 but this is easily configurable.
Once Sidekiq server is running you can see your metrics or scrape them with Prometheus:
$curl http://localhost:9359/metrics
# TYPE sidekiq_job_count counter
# HELP sidekiq_job_count Count of Sidekiq jobs
# TYPE sidekiq_job_duration histogram
# HELP sidekiq_job_duration Sidekiq job processing duration
[etc]
You can configure the gem by calling configure:
SidekiqPrometheus.configure do |config|
config.preset_labels = { service: 'kubernandos_api' }
endconfigure will automatically call setup so
If you are running multiple services that will be reporting Sidekiq metrics you will want to take advantage of the preset_labels configuration option. For example:
SidekiqPrometheus.configure do |config|
config.preset_labels = { service: 'image_api' }
config.metrics_port = 9090
endpreset_labels: Hash of labels that will be included with every metric when they are registered.Hash{Symbol (label name) => String (label value)}custom_labels: Hash of metrics and labels that can be applied to specific metrics. The metric name must be a registered metric.Hash{Symbol (metric name) => Array<Symbol> (label names)}gc_metrics_enabled: Boolean that determines whether to record object allocation metrics per job. The default istrue. Setting this tofalseif you don't need this metric.global_metrics_enabled: Boolean that determines whether to report global metrics from the PeriodicMetrics reporter. Whentruethis will report on a number of stats from the Sidekiq API for the cluster. This requires Sidekiq::Enterprise as the reporter uses the leader election functionality to ensure that only one worker per cluster is reporting metrics.init_label_sets: Hash of metrics and label sets that are initialized by callingmetric.init_label_setafter the metric is registered. See prometheus-client docs for details.Hash{Symbol (metric name) => Array<Hash> (label sets)}.periodic_metrics_enabled: Boolean that determines whether to run the periodic metrics reporter.PeriodicMetricsruns a separate thread that reports on global metrics (if enabled) as well worker GC stats (if enabled). It reports metrics on the interval defined byperiodic_reporting_interval. Defaults totrue.periodic_reporting_interval: interval in seconds for reporting periodic metrics. Default:30metrics_server_enabled: Boolean that determines whether to run the rack server. Defaults totruemetrics_server_logger_enabled: Boolean that determines if the metrics server will log access logs. Defaults totruemetrics_host: Host on which the rack server will listen. Defaults tolocalhostmetrics_port: Port on which the rack server will listen. Defaults to9359registry: An instance ofPrometheus::Client::Registry. If you have a registry with defined metrics you can use this option to pass in your registry.
SidekiqPrometheus.configure do |config|
config.preset_labels = { service: 'myapp' }
config.custom_labels = { sidekiq_job_count: [:worker_class, :job_type, :any_other_label] }
config.gc_metrics_enabled = false
config.global_metrics_enabled = true
config.init_label_sets = { sidekiq_job_count: [{worker_class: "class", job_type: "single", any_other_label: "value"}, {worker_class: "class", job_type: "batch", any_other_label: "other-value"}] }
config.periodic_metrics_enabled = true
config.periodic_reporting_interval = 20
config.metrics_server_enabled = true
config.metrics_port = 8675
endCustom labels may be added by defining the prometheus_labels method in the worker class,
prior you need to register the custom labels as of the above example:
class SomeWorker
include Sidekiq::Worker
def prometheus_labels
{ some: 'label' }
end
endAll Sidekiq job metrics are reported with these labels:
class: Sidekiq worker class namequeue: Sidekiq queue name
| Metric | Type | Description |
|---|---|---|
| sidekiq_job_count | counter | Count of Sidekiq jobs |
| sidekiq_job_duration | histogram | Sidekiq job processing duration |
| sidekiq_job_success | counter | Count of successful Sidekiq jobs |
| sidekiq_job_allocated_objects | histogram | Count of ruby objects allocated by a Sidekiq job |
| sidekiq_job_failed | counter | Count of failed Sidekiq jobs |
| sidekiq_job_over_limit | counter | Count of over limit Sidekiq jobs |
Notes:
- when a job fails only
sidekiq_job_countandsidekiq_job_failedwill be reported. - when a job fails due to Sidekiq::Limiter::OverLimit error, only
sidekiq_job_countandsidekiq_job_over_limitwill be reported. sidekiq_job_allocated_objectswill only be reported ifSidekiqPrometheus.gc_metrics_enabled? == true
These require SidekiqPrometheus.gc_metrics_enabled? == true and SidekiqPrometheus.periodic_metrics_enabled? == true
| Metric | Type | Description |
|---|---|---|
| sidekiq_allocated_objects | counter | Count of allocated objects by the worker |
| sidekiq_heap_free_slots | gauge | Number of free heap slots as reported by GC.stat |
| sidekiq_heap_live_slots | gauge | Number of live heap slots as reported by GC.stat |
| sidekiq_major_gc_count | counter | Count of major GC runs |
| sidekiq_minor_gc_count | counter | Count of minor GC runs |
| sidekiq_rss | gauge | RSS memory usage for worker process |
These require SidekiqPrometheus.global_metrics_enabled? == true and SidekiqPrometheus.periodic_metrics_enabled? == true
Periodic metric reporting relies on Sidekiq Enterprise's leader election functionality (Ent Leader Election ) which ensures that metrics are only reported once per cluster.
| Metric | Type | Description |
|---|---|---|
| sidekiq_workers_size | gauge | Total number of workers processing jobs |
| sidekiq_dead_size | gauge | Total Dead Size |
| sidekiq_enqueued | gauge | Total Size of all known queues |
| sidekiq_queue_latency | summary | Latency (in seconds) of all queues |
| sidekiq_failed | gauge | Number of job executions which raised an error |
| sidekiq_processed | gauge | Number of job executions completed (success or failure) |
| sidekiq_retry_size | gauge | Total Retries Size |
| sidekiq_scheduled_size | gauge | Total Scheduled Size |
| sidekiq_redis_connected_clients | gauge | Number of clients connected to Redis instance for Sidekiq |
| sidekiq_redis_used_memory | gauge | Used memory from Redis.info |
| sidekiq_redis_used_memory_peak | gauge | Used memory peak from Redis.info |
| sidekiq_redis_keys | gauge | Number of redis keys |
| sidekiq_redis_expires | gauge | Number of redis keys with expiry set |
The global metrics are reported with the only the preset_labels with the exception of sidekiq_enqueued which will add a queue label and record a metric per Sidekiq queue.
There are a few different ways to register custom metrics with SidekiqPrometheus. Each custom metric should be defined as a Hash with the following form:
{
name: :metric_name,
type: :gauge,
docstring: 'description',
preset_labels: { label_name: 'label_text' },
}:name(required) - Unique name of the metric and should be a symbol.:type(required) - Prometheus metric type. Supported values are::counter,:gauge,:histogram, and:summary.:docstring(required) - Human readable description of the metric.:preset_labels(optional) - Hash of labels that will be applied to every instance of this metric.
Registering a set of custom metrics is done by defining custom_metrics in the configure block:
SidekiqPrometheus.configure do |config|
config.custom_metrics = [
{ name: :imported_records, type: :counter, docstring: 'Count of successfully imported records' },
{ name: :failed_records, type: counter:, docstring: 'Count of failed records' },
]
endMetrics can also be registered directly. This must done after SidekiqPrometheus.configure or setup has been run.
SidekiqPrometheus::Metrics.register(name: :logged_in_users, type: :gauge, docstring: 'Logged in users')There is also a method to register more than one metric at a time:
customer_worker_metrics = [
{
name: :file_count, type: :counter, docstring: 'Number of active files',
name: :file_size, type: :gauge, docstring: 'Size of files in bytes',
}
]
SidekiqPrometheus::Metrics.register_metrics(customer_worker_metrics)Once metrics are registered they can be used in your Sidekiq workers.
class ImportWorker
include Sidekiq::Worker
LABELS = {}
def perform(*args)
# worker code
SidekiqPrometheus[:file_count].increment(LABELS, new_file_count)
SidekiqPrometheus[:file_size].set(LABELS, total_file_size)
end
endSee the documentation of the Prometheus::Client library for all of the available options for setting metric values.
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.
See: https://github.com/fastly/sidekiq-prometheus/graphs/contributors
Bug reports and pull requests are welcome on GitHub at https://github.com/fastly/sidekiq-prometheus. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.
Copyright 2019 Fastly, Inc.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in the SidekiqPrometheus project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.