docs: rebrand the repository documentation, templates and dashboards

README, README_ZH, SECURITY, COMPLIANCE, CONTRIBUTING, NOTICE,
code_of_conduct, the vulnerability and PR-etiquette documents, the GitHub issue
and pull request templates, and the docs/ tree all present Silo as the product.
The Grafana dashboards under docs/metrics/prometheus/grafana/ have their panel
titles and descriptions rebranded while every minio_* query, label and
expression is left alone, so existing alerts and recording rules keep matching.

The distinction the review demanded is applied per hit rather than by
search-and-replace:

- Product and command text becomes Silo and silo: install and run instructions,
  systemd examples, compose services, download links, badges.
- Protocol and interface text keeps MinIO: MINIO_* variables, minio_* metrics,
  x-minio-* headers, /minio/* routes, .minio.sys, arn:minio, and API field and
  error names.
- Attribution keeps MinIO and gains the fork's own: the AGPL obligations,
  original copyright, CREDITS and NOTICE stay, with the modification notice
  added alongside rather than replacing them.
- Historical and third-party references are left as facts, not rewritten for
  brand tidiness.

README and README_ZH each carry an explicit non-affiliation notice, document
the side-by-side package migration including the
/etc/systemd/system/silo.service.d/10-legacy-user.conf drop-in for keeping a
legacy UID/GID, and state that recursive chown is never performed. The trademark
attribution uses the policy's approved "based on MinIO technology" wording, not
the shortened form the policy rejects.

github.com/pgsty/minio links are left in place and labelled transitional. The
repository has not been renamed, and rewriting them now would produce documented
URLs that 404 until the cutover; they change in the cutover commit together with
the goreleaser release target, the OCI source label and the raw-content branch.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
Feng Ruohang
2026-08-06 08:49:30 +08:00
parent 6613c2a3cb
commit fd2ca1c6d2
94 changed files with 1613 additions and 1347 deletions
+31 -30
View File
@@ -1,16 +1,16 @@
# How to monitor MinIO server with Prometheus? [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)
# How to monitor Silo server with Prometheus?
[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. 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. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints.
[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. 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. Users looking to monitor their Silo instances can point Prometheus configuration to scrape data from following endpoints.
- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`.
- MinIO exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
- Silo exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`.
- Silo exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
This document explains how to setup Prometheus and configure it to scrape data from MinIO servers.
This document explains how to setup Prometheus and configure it to scrape data from Silo servers.
## Prerequisites
To get started with MinIO, refer [MinIO QuickStart Document](https://silo.pgsty.com/operations/deployments/baremetal-deploy-minio-on-redhat-linux/).
Follow below steps to get started with MinIO monitoring using Prometheus.
To get started with Silo, refer [Silo QuickStart Document](https://silo.pgsty.com/operations/deployments/baremetal-deploy-minio-on-redhat-linux/).
Follow below steps to get started with Silo monitoring using Prometheus.
### 1. Download Prometheus
@@ -36,20 +36,20 @@ Refer [Prometheus documentation](https://prometheus.io/docs/introduction/first_s
### 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.
Silo supports two authentication modes for Prometheus either `jwt` or `public`, by default Silo 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
silo 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.
> If Silo 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](https://silo.pgsty.com/reference/minio-mc/#quickstart) as follows `mc admin prometheus generate <alias> [METRIC-TYPE]`. The valid values for METRIC-TYPE are `cluster`, `node`, `bucket` and `resource` and if not mentioned, it defaults to `cluster`.
The Prometheus endpoint in Silo 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](https://silo.pgsty.com/reference/minio-mc/#quickstart) as follows `mc admin prometheus generate <alias> [METRIC-TYPE]`. The valid values for METRIC-TYPE are `cluster`, `node`, `bucket` and `resource` and if not mentioned, it defaults to `cluster`.
The command will generate the `scrape_configs` section of the prometheus.yml as follows:
@@ -57,7 +57,7 @@ The command will generate the `scrape_configs` section of the prometheus.yml as
```yaml
scrape_configs:
- job_name: minio-job
- job_name: silo-job
bearer_token: <secret>
metrics_path: /minio/v2/metrics/cluster
scheme: http
@@ -68,7 +68,7 @@ scrape_configs:
##### Bucket centric
```yaml
- job_name: minio-job-bucket
- job_name: silo-job-bucket
bearer_token: <secret>
metrics_path: /minio/v2/metrics/bucket
scheme: http
@@ -79,7 +79,7 @@ scrape_configs:
##### Node centric (optional)
```yaml
- job_name: minio-job-node
- job_name: silo-job-node
bearer_token: <secret>
metrics_path: /minio/v2/metrics/node
scheme: http
@@ -90,7 +90,7 @@ scrape_configs:
##### Resource centric (optional)
```yaml
- job_name: minio-job-resource
- job_name: silo-job-resource
bearer_token: <secret>
metrics_path: /minio/v2/metrics/resource
scheme: http
@@ -100,14 +100,14 @@ scrape_configs:
#### 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.
If Prometheus endpoint authentication type is set to `public`. Following prometheus config is sufficient to start scraping metrics data from Silo.
This can be collected from any server once per collection.
##### Cluster
```yaml
scrape_configs:
- job_name: minio-job
- job_name: silo-job
metrics_path: /minio/v2/metrics/cluster
scheme: http
static_configs:
@@ -118,7 +118,7 @@ scrape_configs:
```yaml
scrape_configs:
- job_name: minio-job-bucket
- job_name: silo-job-bucket
metrics_path: /minio/v2/metrics/bucket
scheme: http
static_configs:
@@ -133,7 +133,7 @@ grafana can visualize them for all the nodes
```yaml
scrape_configs:
- job_name: minio-job
- job_name: silo-job
metrics_path: /minio/v2/metrics/node
scheme: http
static_configs:
@@ -146,7 +146,7 @@ Optionally you can also collect resource metrics.
```yaml
scrape_configs:
- job_name: minio-job
- job_name: silo-job
metrics_path: /minio/v2/metrics/resource
scheme: http
static_configs:
@@ -165,25 +165,26 @@ 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`.
Here `prometheus.yml` is the name of configuration file. You can now see Silo metrics in Prometheus dashboard. By default Prometheus dashboard is accessible at `http://localhost:9090`.
Prometheus sets the `Host` header to `domain:port` as part of HTTP operations against the MinIO metrics endpoint. For MinIO deployments behind a load balancer, reverse proxy, or other control plane (HAProxy, nginx, pfsense, opnsense, etc.), ensure the network service supports routing these requests to the deployment.
Prometheus sets the `Host` header to `domain:port` as part of HTTP operations against the Silo metrics endpoint. For Silo deployments behind a load balancer, reverse proxy, or other control plane (HAProxy, nginx, pfsense, opnsense, etc.), ensure the network service supports routing these requests to the deployment.
### 6. Configure Grafana
After Prometheus is configured, you can use Grafana to visualize MinIO metrics. Refer the [document here to setup Grafana with MinIO prometheus metrics](https://github.com/pgsty/minio/blob/master/docs/metrics/prometheus/grafana/README.md).
After Prometheus is configured, you can use Grafana to visualize Silo metrics. Refer the [document here to setup Grafana with Silo prometheus metrics](https://github.com/pgsty/minio/blob/master/docs/metrics/prometheus/grafana/README.md).
## List of metrics exposed by MinIO
## List of metrics exposed by Silo
- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`.
- MinIO exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
- MinIO exports Prometheus compatible data by default which is node centric as an authorized endpoint at `/minio/v2/metrics/node`.
- MinIO exports Prometheus compatible data by default which is resource centric as an authorized endpoint at `/minio/v2/metrics/resource`.
- Silo exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`.
- Silo exports Prometheus compatible data by default which is bucket centric as an authorized endpoint at `/minio/v2/metrics/bucket`.
- Silo exports Prometheus compatible data by default which is node centric as an authorized endpoint at `/minio/v2/metrics/node`.
- Silo exports Prometheus compatible data by default which is resource centric as an authorized endpoint at `/minio/v2/metrics/resource`.
All of these can be accessed via Prometheus dashboard. A sample list of exposed metrics along with their definition is available on our public demo server at
All of these can be accessed via Prometheus. For a local deployment configured
with public metrics, inspect the compatibility route directly:
```sh
curl https://play.min.io/minio/v2/metrics/cluster
curl http://127.0.0.1:9000/minio/v2/metrics/cluster
```
### List of metrics reported Cluster and Bucket level