* Adds a Throwable to the list of failures.
     *
     * @param t the Throwable to add
     */
    public void addFailure(final Throwable t) {
        failures.add(t);
    }

    /**
     * Checks if there are any failures recorded.
     *
     * @return true if there is at least one failure, false otherwise
     */
    public boolean hasFailure() {
        return !failures.isEmpty();
    }

    /**

// previous results
func (dt *dynamicTimeout) adjust(entries [dynamicTimeoutLogSize]time.Duration) {
	failures, maxDur := 0, time.Duration(0)
	for _, dur := range entries[:] {
		if dur == maxDuration {
			failures++
		} else if dur > maxDur {
			maxDur = dur
		}
	}

	failPct := float64(failures) / float64(len(entries))

	if failPct > dynamicTimeoutIncreaseThresholdPct {

		"Number of failures in GET requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedGetRequestsTotalMD = NewCounterMD(bucketReplProxiedGetRequestsTotal,
		"Number of GET requests proxied to replication target",
		bucketL, targetArnL)
	bucketReplProxiedGetTaggingRequestsFailuresMD = NewCounterMD(bucketReplProxiedGetTaggingRequestsFailures,

In 12 drive example above, with MinIO server running in the default configuration, you can lose any of the six drives and still reconstruct the data reliably from the remaining drives.

## Why is Erasure Code useful?

		poolIDL, setIDL)
	erasureSetReadToleranceMD = NewGaugeMD(erasureSetReadTolerance,
		"No of drive failures that can be tolerated without disrupting read operations",
		poolIDL, setIDL)
	erasureSetWriteToleranceMD = NewGaugeMD(erasureSetWriteTolerance,
		"No of drive failures that can be tolerated without disrupting write operations",
		poolIDL, setIDL)
	erasureSetReadHealthMD = NewGaugeMD(erasureSetReadHealth,

		case tierRequestsFailure:
			fail += metric.Value
		}
	}
	if int(succ) != expSuccess {
		t.Fatalf("Expected %d successes but got %f", expSuccess, succ)
	}
	if int(fail) != expFailure {
		t.Fatalf("Expected %d failures but got %f", expFailure, fail)
	}

  awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq
}

# Print out any ResultStore URLs for Bazel invocations' results.
# Each failed target there will have its own representation, making failures
# easier to find and read.
function resultstore_extract {
  local PYTHON_BIN XML_PATH
  PYTHON_BIN=$(which python3 2>/dev/null || which python)
  XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml"

        run: |
          sudo sysctl net.ipv6.conf.all.disable_ipv6=0
          sudo sysctl net.ipv6.conf.default.disable_ipv6=0
          make test-versioning

      - name: Test Multipart upload with failures
        run: |
          sudo sysctl net.ipv6.conf.all.disable_ipv6=0
          sudo sysctl net.ipv6.conf.default.disable_ipv6=0

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

      },
      "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",
      "generatorURL": "http://fedora-minio:9090/graph?g0.expr=minio_cluster_health_erasure_set_tolerance+%3C%3D+0&g0.tab=1",