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common-protos/k8s.io/api/core/v1/generated.proto
message NodeSystemInfo { // MachineID reported by the node. For unique machine identification // in the cluster this field is preferred. Learn more from man(5) // machine-id: http://man7.org/linux/man-pages/man5/machine-id.5.html optional string machineID = 1; // SystemUUID reported by the node. For unique machine identification // MachineID is preferred. This field is specific to Red Hat hosts
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docs/iam/identity-management-plugin.md
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docs/multi-tenancy/README.md
1. [Standalone Deployment](#standalone-deployment) 2. [Distributed Deployment](#distributed-deployment) 3. [Cloud Scale Deployment](#cloud-scale-deployment) ## 1. Standalone Deployment To host multiple tenants on a single machine, run one MinIO Server per tenant with a dedicated HTTPS port, configuration, and data directory. ### 1.1 Host Multiple Tenants on a Single Drive Use the following commands to host 3 tenants on a single drive: ```sh
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docs/en/docs/history-design-future.md
Here's a little bit of that history. ## Alternatives I have been creating APIs with complex requirements for several years (Machine Learning, distributed systems, asynchronous jobs, NoSQL databases, etc), leading several teams of developers. As part of that, I needed to investigate, test and use many alternatives.
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docs/integrations/veeam/README.md
### Create a backup job #### Backup Virtual Machines with Veeam Backup and Replication - Under Home > Jobs > Backup in Navigation Pane, click on Backup Job button in the ribbon and choose Virtual Machine. Follow the on screen wizard. - On the Storage screen, choose the Scale-out Backup Repository that was configured previously.
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docs/fr/docs/deployment/https.md
* Le contenu est crypté, même s'il est envoyé avec le protocole HTTP. Il est courant d'avoir un seul programme/serveur HTTP fonctionnant sur le serveur (la machine, l'hôte, etc.) et gérant toutes les parties HTTPS : envoyer les requêtes HTTP décryptées à l'application HTTP réelle fonctionnant sur
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CONTRIBUTING.md
> **NOTE:** Do **NOT** run `gradle build` on the local development environment, > even if you have Gradle or Develocity build caching enabled for the project. > The Gradle Build Tool repository is massive, and it will take ages to build on > a local machine without necessary parallelization and caching. > The full test suites are executed on the CI instance for multiple configurations,
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docs/compression/README.md
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2) streaming compression due to its stability and performance. This algorithm is specifically optimized for machine generated content. Write throughput is typically at least 500MB/s per CPU core, and scales with the number of available CPU cores. Decompression speed is typically at least 1GB/s.
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docs/zh/docs/deployment/manually.md
## 服务器主机和服务器程序 关于名称,有一个小细节需要记住。 💡 “**服务器**”一词通常用于指远程/云计算机(物理机或虚拟机)以及在该计算机上运行的程序(例如 Uvicorn)。 请记住,当您一般读到“服务器”这个名词时,它可能指的是这两者之一。 当提到远程主机时,通常将其称为**服务器**,但也称为**机器**(machine)、**VM**(虚拟机)、**节点**。 这些都是指某种类型的远程计算机,通常运行 Linux,您可以在其中运行程序。 ## 安装服务器程序 您可以使用以下命令安装 ASGI 兼容服务器: === "Uvicorn"
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docs/en/docs/deployment/https.md
* The contents are **encrypted**, even though they are being sent with the **HTTP protocol**.
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