# MinIO Monitoring Guide

MinIO server exposes monitoring data over endpoints. Monitoring tools can pick the data from these endpoints. This document lists the monitoring endpoints and relevant documentation.

## Healthcheck Probe

MinIO server has two healthcheck related un-authenticated endpoints, a liveness probe to indicate if server is responding, cluster probe to check if server can be taken down for maintenance.

| `s3:BucketCreated`                                                           |
| `s3:BucketRemoved`                                                           |

## Architecture Standards

**Experimental!**

We'd like to capture our architectural decisions about the build tool as [Architectural Decision Records (ADRs)](https://adr.github.io/).
For now we just have this global repository of ADRs.
If we see fit, we can break these out to per-platform ones, or keep a hybrid approach to having global and platform-specific ADSs.

Our aim is to keep the process lightweight and approachable.

[![Jenkins tests](https://img.shields.io/jenkins/t/https/ci-maven.apache.org/job/Maven/job/maven-box/job/maven/job/master.svg?)][test-results]


Apache Maven is a software project management and comprehension tool. Based on
the concept of a project object model (POM), Maven can manage a project's
build, reporting and documentation from a central piece of information.

You can also connect using any S3-compatible tool, such as the MinIO Client `mc` commandline tool. See
[Test using MinIO Client `mc`](#test-using-minio-client-mc) for more information on using the `mc` commandline tool. For application developers,
see <https://min.io/docs/minio/linux/developers/minio-drivers.html> to view MinIO SDKs for supported languages.

version or implementation.

For example, you may use your own Prometheus and Grafana installs, or you may use a specialized/custom
certificate provisioning tool, or use components that are centrally managed and running in a different cluster.

This is a work in progress - building on top of the multi-cluster installer.

**For more information, please visit the [official project homepage](https://gradle.org)**

## Getting Started

as a rough example of the steps below.

All the files referenced below are located in the same directory as this README,
unless indicated otherwise.

1) Add the new version to the `VERSIONS` variable inside
   `tensorflow/tools/toolchains/python/python_repo.bzl`. \
   While this isn't necessary for running the updater, it is required for
   actually using the new version with Tensorflow.

endlessly, so you can perpetually expand your clusters as needed.  When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a pool. There are 2 server pools in this example. New objects are placed in server pools in proportion to the amount of free space in each pool. Within each pool, the location of the erasure-set of drives is determined based on a deterministic hashing algorithm.

> **NOTE:** **Each pool you add must...

1. Creating a PR and observing the presubmit test results
2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions: