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docs/metrics/prometheus/README.md
static_configs: - targets: ['localhost:9000'] ``` ##### Node (optional) Optionally you can also collect per node metrics. This needs to be done on a per server instance. The scrape configurations should use all the servers under `targets` so that graphing systems like grafana can visualize them for all the nodes ```yaml scrape_configs: - job_name: minio-job metrics_path: /minio/v2/metrics/node
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docs/metrics/prometheus/grafana/README.md
![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/node/grafana-node.png)
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docs/distributed/CONFIG.md
passive-port-range: "30000-40000" sftp: # settings for MinIO to act as an sftp server address: ":8022" ssh-private-key: "/home/user/.ssh/id_rsa" ``` If you are using the config `v1` YAML you should migrate your `pools:` field values to the following format `v1` format ```yaml pools: # Specify the nodes and drives with pools - - "https://server-example-pool1:9000/mnt/disk{1...4}/"
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docs/compression/README.md
which is a fitness factor for a lossless data compression. Pre-compressed input typically compresses in excess of 2GiB/s per core, so performance impact should be minimal even if precompressed data is re-compressed. Decompressing incompressible data has no significant performance impact. Below is a list of common files and content-types which are typically not suitable for compression.
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CREDITS
You should have received a copy of the GNU Affero General Public License along with this program. If not, see <https://www.gnu.org/licenses/>. Also add information on how to contact you by electronic and paper mail. If your software can interact with users remotely through a computer network, you should also make sure that it provides a way for users to
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