Bonus change to use channel to serialize triggers, instead of using atomic variables. More efficient mechanism for synchronization. Co-authored-by: Nitish Tiwari <nitish@minio.io> |
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README.md |
How to monitor MinIO server with Prometheus ![Slack](https://slack.min.io/slack?type=svg)
Prometheus is a cloud-native monitoring platform, built originally at SoundCloud. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Targets to pull data from are discovered via service discovery or static configuration.
MinIO exports Prometheus compatible data by default as an authorized endpoint at /minio/prometheus/metrics
. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from this endpoint.
This document explains how to setup Prometheus and configure it to scrape data from MinIO servers.
Table of Contents
Prerequisites
To get started with MinIO, refer MinIO QuickStart Document. Follow below steps to get started with MinIO monitoring using Prometheus.
1. Download Prometheus
Download the latest release of Prometheus for your platform, then extract it
tar xvfz prometheus-*.tar.gz
cd prometheus-*
Prometheus server is a single binary called prometheus
(or prometheus.exe
on Microsoft Windows). Run the binary and pass --help
flag to see available options
./prometheus --help
usage: prometheus [<flags>]
The Prometheus monitoring server
. . .
Refer Prometheus documentation for more details.
2. Configure authentication type for Prometheus metrics
MinIO supports two authentication modes for Prometheus either jwt
or public
, by default MinIO runs in jwt
mode. To allow public access without authentication for prometheus metrics set environment as follows.
export MINIO_PROMETHEUS_AUTH_TYPE="public"
minio server ~/test
3. Configuring Prometheus
3.1 Authenticated Prometheus config
If MinIO is configured to expose metrics without authentication, you don't need to use
mc
to generate prometheus config. You can skip reading further and move to 3.2 section.
The Prometheus endpoint in MinIO requires authentication by default. Prometheus supports a bearer token approach to authenticate prometheus scrape requests, override the default Prometheus config with the one generated using mc. To generate a Prometheus config for an alias, use mc as follows mc admin prometheus generate <alias>
.
The command will generate the scrape_configs
section of the prometheus.yml as follows:
scrape_configs:
- job_name: minio-job
bearer_token: <secret>
metrics_path: /minio/prometheus/metrics
scheme: http
static_configs:
- targets: ['localhost:9000']
3.2 Public Prometheus config
If Prometheus endpoint authentication type is set to public
. Following prometheus config is sufficient to start scraping metrics data from MinIO.
scrape_configs:
- job_name: minio-job
metrics_path: /minio/prometheus/metrics
scheme: http
static_configs:
- targets: ['localhost:9000']
4. Update scrape_configs
section in prometheus.yml
To authorize every scrape request, copy and paste the generated scrape_configs
section in the prometheus.yml and restart the Prometheus service.
5. Start Prometheus
Start (or) Restart Prometheus service by running
./prometheus --config.file=prometheus.yml
Here prometheus.yml
is the name of configuration file. You can now see MinIO metrics in Prometheus dashboard. By default Prometheus dashboard is accessible at http://localhost:9090
.
List of metrics exposed by MinIO
MinIO server exposes the following metrics on /minio/prometheus/metrics
endpoint. All of these can be accessed via Prometheus dashboard. The full list of exposed metrics along with their definition is available in the demo server at https://play.min.io:9000/minio/prometheus/metrics
These are the new set of metrics which will be in effect after RELEASE.2019-10-16*
. Some of the key changes in this update are listed below.
- Metrics are bound the respective nodes and is not cluster-wide. Each and every node in a cluster will expose its own metrics.
- Additional metrics to cover the s3 and internode traffic statistics were added.
- Metrics that records the http statistics and latencies are labeled to their respective APIs (putobject,getobject etc).
- Disk usage metrics are distributed and labeled to the respective disk paths.
For more details, please check the Migration guide for the new set of metrics
.
The list of metrics and its definition are as follows. (NOTE: instance here is one MinIO node)
NOTES: > 1. Instance here is one MinIO node. > 2.
s3 requests
exclude internode requests.
Default set of information
name | description |
---|---|
go_ |
all standard go runtime metrics |
process_ |
all process level metrics |
promhttp_ |
all prometheus scrape metrics |
MinIO node specific information
name | description |
---|---|
minio_version_info |
Current MinIO version with its commit-id |
minio_disks_offline |
Total number of offline disks on current MinIO instance |
minio_disks_total |
Total number of disks on current MinIO instance |
Disk metrics are labeled by 'disk' which indentifies each disk
name | description |
---|---|
disk_storage_total |
Total size of the disk |
disk_storage_used |
Total disk space used per disk |
disk_storage_available |
Total available disk space per disk |
S3 API metrics are labeled by 'api' which identifies different S3 API requests
name | description |
---|---|
s3_requests_total |
Total number of s3 requests in current MinIO instance |
s3_errors_total |
Total number of errors in s3 requests in current MinIO instance |
s3_requests_current |
Total number of active s3 requests in current MinIO instance |
s3_rx_bytes_total |
Total number of s3 bytes received by current MinIO server instance |
s3_tx_bytes_total |
Total number of s3 bytes sent by current MinIO server instance |
s3_ttfb_seconds |
Histogram that holds the latency information of the requests |
Internode metrics only available in a distributed setup
name | description |
---|---|
internode_rx_bytes_total |
Total number of internode bytes received by current MinIO server instance |
internode_tx_bytes_total |
Total number of bytes sent to the other nodes by current MinIO server instance |
Apart from above metrics, MinIO also exposes below mode specific metrics
Bucket usage specific metrics
All metrics are labeled by bucket
, each metric is displayed per bucket. buckets_objects_histogram
is additionally labeled by object_size
string which is represented by any of the following values
- LESS_THAN_1024_B
- BETWEEN_1024_B_AND_1_MB
- BETWEEN_1_MB_AND_10_MB
- BETWEEN_10_MB_AND_64_MB
- BETWEEN_64_MB_AND_128_MB
- BETWEEN_128_MB_AND_512_MB
- GREATER_THAN_512_MB
name | description |
---|---|
bucket_usage_size |
Total size of the bucket |
bucket_objects_count |
Total number of objects in a bucket |
bucket_objects_histogram |
Total number of objects filtered by different sizes |
Cache specific metrics
MinIO Gateway instances enabled with Disk-Caching expose caching related metrics.
Global cache metrics
name | description |
---|---|
cache_hits_total |
Total number of cache hits |
cache_misses_total |
Total number of cache misses |
cache_data_served |
Total number of bytes served from cache |
Per disk cache metrics
| cache_usage_percent
| Total percentage cache usage |
| cache_usage_state
| Indicates cache usage is high or low, relative to current cache 'quota' settings |
cache_usage_state
holds only two states
- '1' indicates high disk usage
- '0' indicates low disk usage
Gateway specific metrics
MinIO Gateway instance exposes metrics related to Gateway communication with the cloud backend (S3, Azure & GCS Gateway).
<gateway_type>
changes based on the gateway in use can be 's3', 'gcs' or 'azure'. Other metrics are labeled with method
that identifies HTTP GET, HEAD, PUT and POST requests to the backend.
name | description |
---|---|
gateway_<gateway_type>_requests |
Total number of requests made to the gateway backend |
gateway_<gateway_type>_bytes_sent |
Total number of bytes sent to cloud backend (in PUT & POST Requests) |
gateway_<gateway_type>_bytes_received |
Total number of bytes received from cloud backend (in GET & HEAD Requests) |
Note that this is currently only support for Azure, S3 and GCS Gateway.
MinIO self-healing metrics - self_heal_*
MinIO exposes self-healing related metrics for erasure-code deployments only. These metrics are not available on Gateway or Single Node, Single Drive deployments. Note that these metrics will be exposed only when there is a relevant event happening on MinIO server.
name | description |
---|---|
self_heal_time_since_last_activity |
Time elapsed since last self-healing related activity |
self_heal_objects_scanned |
Number of objects scanned by self-healing thread in its current run. This will reset when a fresh self-healing run starts. This is labeled with the object type scanned |
self_heal_objects_healed |
Number of objects healing by self-healing thread in its current run. This will reset when a fresh self-healing run starts. This is labeled with the object type scanned |
self_heal_objects_heal_failed |
Number of objects for which self-healing failed in its current run. This will reset when a fresh self-healing run starts. This is labeled with disk status and its endpoint |
Migration guide for the new set of metrics
This migration guide applies for older releases or any releases before RELEASE.2019-10-23*
MinIO disk level metrics - disk_*
The migrations include
minio_total_disks
tominio_disks_total
minio_offline_disks
tominio_disks_offline
MinIO disk level metrics - disk_storage_*
These metrics have one label.
disk
: Holds the disk path
The migrations include
minio_disk_storage_used_bytes
todisk_storage_used
minio_disk_storage_available_bytes
todisk_storage_available
minio_disk_storage_total_bytes
todisk_storage_total
MinIO network level metrics
These metrics are detailed to cover the s3 and internode network statistics.
The migrations include
minio_network_sent_bytes_total
tos3_tx_bytes_total
andinternode_tx_bytes_total
minio_network_received_bytes_total
tos3_rx_bytes_total
andinternode_rx_bytes_total
Some of the additional metrics added were
s3_requests_total
s3_errors_total
s3_ttfb_seconds