minio-es-tolerance-alert.png...

# Erasure code sizing guide

## Toy Setups

Capacity constrained environments, MinIO will work but not recommended for production.

| servers | drives (per node) | stripe_size | parity chosen (default) | tolerance for reads (servers) | tolerance for writes (servers) |
|--------:|------------------:|------------:|------------------------:|------------------------------:|-------------------------------:|

        "set": "0",
        "severity": "critical"
      },
      "annotations": {
        "description": "MinIO instance 127.0.0.1:9000 of job minio-job has tolerance <=0 for more than 5 minutes.",
        "summary": "Instance 127.0.0.1:9000 unable to tolerate node failures"
      },
      "startsAt": "2023-11-18T06:20:09.456Z",
      "endsAt": "0001-01-01T00:00:00Z",

- **Comprehensive Content Extraction**: Office documents, PDFs, archives, images, audio/video files
- **Multi-Threading**: Configurable thread pools for high-performance crawling
- **Fault Tolerance**: Built-in retry mechanisms and error handling
- **Flexible Configuration**: XML-based dependency injection with LastaFlute DI
- **Extensible Architecture**: Plugin system for custom extractors, transformers, and clients

- To be able to reliably use S3 multipart APIs feature of the SDKs without re-inventing the wheel of pre-signing the each URL in multipart API. This is very tedious to implement with all the scenarios of fault tolerance that's already implemented by the client SDK. The general client SDKs don't support multipart with presigned URLs.

- We limited the number of drives to 16 for erasure set because, erasure code shards more than 16 can become chatty and do not have any performance advantages. Additionally since 16 drive erasure set gives you tolerance of 8 drives per object by default which is plenty in any practical scenario.

    register a dataset with the tf.data service, and another process to consume
    data from the dataset.
*   Adds support for dispatcher fault tolerance. To enable fault tolerance,
    configure a `work_dir` when running your dispatcher server and set
    `dispatcher_fault_tolerance=True`. The dispatcher will store its state to

pkg syscall (linux-386), type Timex struct, Tai int32
pkg syscall (linux-386), type Timex struct, Tick int32
pkg syscall (linux-386), type Timex struct, Time Timeval
pkg syscall (linux-386), type Timex struct, Tolerance int32
pkg syscall (linux-386), type Tms struct
pkg syscall (linux-386), type Tms struct, Cstime int32
pkg syscall (linux-386), type Tms struct, Cutime int32
pkg syscall (linux-386), type Tms struct, Stime int32

         * Called when a request starts.
         *
         * @param client the fault-tolerant client
         * @param request the request data
         */
        void onRequestStart(FaultTolerantClient client, RequestData request);

        /**
         * Called before each request attempt.
         *
         * @param client the fault-tolerant client
         * @param request the request data

		// resulting in a file with compressed size > 0 but uncompressed size ==
		// 0. We still want to fail when a directory has associated uncompressed
		// data, but we are tolerant of cases where the uncompressed size is
		// zero but compressed size is not.
		if f.UncompressedSize64 != 0 {
			return &dirReader{ErrFormat}, nil
		} else {
			return &dirReader{io.EOF}, nil
		}
	}