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docs/orchestration/kubernetes/README.md
## MinIO Deployment on Kubernetes There are multiple options to deploy MinIO on Kubernetes: - MinIO-Operator: Operator offers seamless way to create and update highly available distributed MinIO clusters. Refer [MinIO Operator documentation](https://github.com/minio/minio-operator/blob/master/README.md) for more details.
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docs/erasure/README.md
![Erasure](https://github.com/minio/minio/blob/master/docs/screenshots/erasure-code.jpg?raw=true) ## What is Bit Rot protection?
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ci/official/requirements_updater/README.md
Note: Updating the [rules-python](https://github.com/bazelbuild/rules_python/releases) version may be required before going through the steps below. This is due to the new Python versions becoming available through `rules-python`. \ See [here](https://github.com/tensorflow/tensorflow/commit/f91457f258fdd78f693044a57efa63a38335d1de), and
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docs/compression/README.md
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. This means that in cases where raw IO is below these numbers compression will not only reduce disk usage but also help increase system throughput.
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ci/official/README.md
# # RBE dramatically speeds up builds and testing. It also gives you a # public URL to share your build results with collaborators. However, # it is only available to a limited set of internal TensorFlow developers. # # RBE is incompatible with local caching, so you must remove # disk_cache, public_cache, and public_cache_push from your $TFCI file. #
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README.md
There are 2 ways to try Fess. The first is to download and install yourself. The second is to use [Docker](https://www.docker.com/products/docker-engine). ### Download and Install/Run Fess 14.12 is now available and can be downloaded on the [Releases page](https://github.com/codelibs/fess/releases "download"). Downloads come in 3 flavors: deb, rpm, zip. The following commands show how to use the zip download:
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docs/distributed/README.md
## Why distributed MinIO? MinIO in distributed mode can help you setup a highly-available storage system with a single object storage deployment. With distributed MinIO, you can optimally use storage devices, irrespective of their location in a network. ### Data protection
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docs/debugging/README.md
Example: ```sh
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README.md
The key features are: * **Fast**: Very high performance, on par with **NodeJS** and **Go** (thanks to Starlette and Pydantic). [One of the fastest Python frameworks available](#performance). * **Fast to code**: Increase the speed to develop features by about 200% to 300%. * * **Fewer bugs**: Reduce about 40% of human (developer) induced errors. *
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