pkg math (darwin-arm64), const MinInt = -9223372036854775808
pkg math (darwin-arm64-cgo), const MaxInt = 9223372036854775807
pkg math (darwin-arm64-cgo), const MaxUint = 18446744073709551615
pkg math (darwin-arm64-cgo), const MinInt = -9223372036854775808
pkg math (freebsd-386), const MaxInt = 2147483647
pkg math (freebsd-386), const MaxUint = 4294967295
pkg math (freebsd-386), const MinInt = -2147483648

MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform.

    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCheckPositive_maxInt() {
    MathPreconditions.checkPositive("int", Integer.MAX_VALUE);
  }

  public void testCheckPositive_minInt() {
    try {
      MathPreconditions.checkPositive("int", Integer.MIN_VALUE);
      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCheckPositive_positiveInt() {

# MinIO Multi-Tenant Deployment Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io) [![Docker Pulls](https://img.shields.io/docker/pulls/minio/minio.svg?maxAge=604800)](https://hub.docker.com/r/minio/minio/)

This topic provides commands to set up different configurations of hosts, nodes, and drives. The examples provided here can be used as a starting point for other configurations.

1. [Standalone Deployment](#standalone-deployment)

TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute
code in context of the TensorFlow service, it is important to design isolation

    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCheckPositive_maxInt() {
    MathPreconditions.checkPositive("int", Integer.MAX_VALUE);
  }

  public void testCheckPositive_minInt() {
    try {
      MathPreconditions.checkPositive("int", Integer.MIN_VALUE);
      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCheckPositive_positiveInt() {

# MinIO Server Limits Per Tenant

For optimal production setup MinIO recommends Linux kernel version 4.x and later.

## Erasure Code (Multiple Drives / Servers)

| Item                                                            | Specification |
|:----------------------------------------------------------------|:--------------|
| Maximum number of servers per cluster                           | no-limit      |

MinIO is a high performance distributed object storage server, designed for large-scale private cloud infrastructure. MinIO is designed in a cloud-native manner to scale sustainably in multi-tenant environments. Orchestration platforms like Kubernetes provide perfect cloud-native environment to deploy and scale MinIO.

## MinIO Deployment on Kubernetes

There are multiple options to deploy MinIO on Kubernetes:

- On Operator based MinIO deployments, you need to modify the `tenant.yaml` specification and modify the `pools:` section from two entries to a single entry. After making relevant changes, proceed to execute `kubectl apply -f tenant.yaml`.

> Without a 'Complete' status any 'Active' or 'Draining' pool(s) are not allowed to be removed once configured.

## NOTE

Install MinIO on Kubernetes:

- [MinIO Quickstart Guide for Kubernetes](https://min.io/docs/minio/kubernetes/upstream/index.html#quickstart-for-kubernetes).
- [Deploy a Tenant from the MinIO Operator](https://min.io/docs/minio/kubernetes/upstream/operations/install-deploy-manage/deploy-minio-tenant.html)

Install Distributed MinIO on Linux: