This page provides an overview of AIStor Server deployment architectures from a production perspective. A production AIStor Server deployment consists of at least 4 hosts with homogeneous storage and compute resources. Each AIStor Server host in this pool has matching compute, storage, and network configurations These hosts make up a server pool, where the AIStor Server presents the aggregated compute, memory, and storage as a single resource to clients. Each pool consists of one or more erasure sets

Use the following checklist when planning the software configuration for a production, distributed MinIO deployment. AIStor pre-requisites Description ☐ Servers running a Linux operating system with a kernel of 6.6.x or later for access to critical performance features.Red Hat Enterprise Linux (RHEL) 10 and Ubuntu Server 24.04 LTS use appropriate kernel versions by default. ☐ A method to synchronize time servers across nodes, such as with ntp, timedatectl or timesyncd.The method to use varies by operating system.Check with your operating system’s documentation for how to synchronize time with a time server. ☐ Disable system services that index, scan, or audit the filesystem, system-level calls, or kernel-level calls.These services can reduce performance due to resource contention or interception of AIStor operations.MinIO strongly recommends uninstalling or disabling the following services on hosts running AIStor:- mlocate or plocate- updatedb- auditd- Crowdstrike Falcon- Antivirus software (clamav)The above list represents the most common services or softwares known to cause performance or behavioral issues with high performance systems like AIStor.Consider removing or disabling any other service or software which functions similarly to those listed above on AIStor hosts.Alternatively, configure these services to ignore or exclude the AIStor process and all drives or drive paths accessed by AIStor. ☐ System administrator access to the remote servers ☐ A management tool for distributed systems, such as Ansible, Terraform, or Kubernetes for orchestrated environments.Kubernetes infrastructures should use the MinIO Operator for best results. ☐ Load balancer to handle routing of requests (for example, NGINX) ☐ [Prometheus](# relref “/operations/monitoring/metrics-and-alerts/collect-minio-metrics-using-prometheus#minio-metrics-collect-using-prometheus” %}}) or a Prometheus-compatible setup for monitoring and metrics ☐ Grafana or similar Prometheus-compatible visual dashboard ☐ (Optional) mc installed on the local host system AIStor install Install a matching version of AIStor across all nodes in the deployment.

This page covers settings that manage access and behavior for the batch job process. You can establish or modify settings by defining: an environment variable on the host system prior to starting or restarting the AIStor Server. Refer to your operating system’s documentation for how to define an environment variable. a configuration setting using mc admin config set. If you define both an environment variable and the similar configuration setting, AIStor uses the environment variable value.

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Java Platform, Standard Edition Internationalization Guide Release 11 E94896-05 July 2023 Java Platform, Standard Edition Internationalization Guide, Release 11 E94896-05 Copyright © 1993, 2023, Or...

The mc support telemetry record command streams captured trace calls to a file. Use the --sample flag to modify the number of calls traced and adjust the impact on performance. In addition to creating a file with the telemetry data, the command outputs the number of packets saved, the file name and path, and instructions for uploading the generated file to SUBNET. You can replay a recorded file and stream the telemetry to an OpenTelemetry Protocol (OTLP)-compatible collector by HTTP interface with mc support telemetry replay.

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The mc put command uploads objects from a local filesystem to an AIStor deployment. You can also use mc put to upload objects to S3-compatible services. Syntax Example The following command uploads a file from the local filesystem to the myminio deployment:

Documentation for the npm registry, website, and command-line interface

mc support telemetry generates OpenTelemetry-formatted trace information to either live-stream or record-then-transmit to an OpenTelemetry Protocol (OTLP)-compatible service. The command collects trace data across all nodes in the AIStor deployment. The information can be relayed to a specified collector, recorded to a local encrypted or unencrypted file, or replayed from a local file to a collector. These commands are designed to capture traces in support of ongoing troubleshooting and diagnostics with MinIO Engineering.