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docs/bucket/lifecycle/README.md
### 3.1 Automatic removal of non current objects versions A non-current object version is a version which is not the latest for a given object. It is possible to set up an automatic removal of non-current versions when a version becomes older than a given number of days. e.g., To scan objects stored under `user-uploads/` prefix and remove versions older than one year. ```
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internal/grid/README.md
# MinIO Grid The MinIO Grid is a package that provides two-way communication between servers. It uses a single two-way connection to send and receive messages between servers. It includes built in muxing of concurrent requests as well as congestion handling for streams. Requests can be "Single Payload" or "Streamed". Use the MinIO Grid for: * Small, frequent requests with low latency requirements.
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helm/minio/README.md
registered with a known CA, add trust for these certificates to MinIO Server by bundling these certificates into a Kubernetes secret and providing it to Helm via the `trustedCertsSecret` value. If `.Values.tls.enabled` is `true` and you're installing certificates for third party CAs, remember to include MinIO's own certificate with key `public.crt`, if it also needs to be trusted. For instance, given that TLS is enabled and you need to add trust for MinIO's own CA and for the CA of a Keycloak...
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docs/config/README.md
In most setups this will keep the scanner slow enough to not impact overall system performance. Setting the `delay` key to a *lower* value will make the scanner faster and setting it to 0 will make the scanner run at full speed (not recommended in production). Setting it to a higher value will make the scanner slower, consuming less resources with the trade off of not collecting metrics for operations like healing and disk usage as fast. ```
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docs/metrics/prometheus/README.md
- MinIO 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. ## Prerequisites To get started with MinIO, refer [MinIO QuickStart Document](https://min.io/docs/minio/linux/index.html#quickstart-for-linux).
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docs/metrics/healthcheck/README.md
periodSeconds: 15 timeoutSeconds: 10 successThreshold: 1 failureThreshold: 3 ``` ## Cluster probe ### Cluster-writeable probe The reply is '200 OK' if cluster has write quorum if not it returns '503 Service Unavailable'. ``` curl http://minio1:9001/minio/health/cluster HTTP/1.1 503 Service Unavailable Accept-Ranges: bytes Content-Length: 0 Server: MinIO Vary: Origin
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docs/ftp/README.md
- All features currently used by your buckets will work as is without any changes - SSE (Server Side Encryption) - Replication (Server Side Replication) ## Prerequisites - It is assumed you have users created and configured with relevant access policies, to start with use basic "readwrite" canned policy to test all the operations before you finalize on what level of restrictions are needed for a user.
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docs/erasure/storage-class/README.md
`STANDARD` storage class implies more parity than `REDUCED_REDUNDANCY` class. So, `STANDARD` parity drives should be - Greater than or equal to 2, if `REDUCED_REDUNDANCY` parity is not set. - Greater than `REDUCED_REDUNDANCY` parity, if it is set. Parity blocks can not be higher than data blocks, so `STANDARD` storage class parity can not be higher than N/2. (N being total number of drives)
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docs/bucket/notifications/README.md
[Webhooks](https://en.wikipedia.org/wiki/Webhook) are a way to receive information when it happens, rather than continually polling for that data. ### Step 1: Add Webhook endpoint to MinIO
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README.md
[![MinIO](https://raw.githubusercontent.com/minio/minio/master/.github/logo.svg?sanitize=true)](https://min.io) MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
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