container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever.

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling by helping replicate and manage containers. MinIO extends this by adding isolated storage environment for...

  }

  public void testOnlyOneOpen() throws Exception {
    ByteSource source = newByteSource(0, 50);
    int[] counter = new int[1];
    ByteSource checker =
        new ByteSource() {
          @Override
          public InputStream openStream() throws IOException {
            if (counter[0]++ != 0) {
              throw new IllegalStateException("More than one source open");
            }

        StringBuilder buffer = new StringBuilder(256);

        buffer.append("Missing:").append(LS);
        buffer.append("----------").append(LS);

        int counter = 0;

        for (Artifact artifact : artifacts) {
            String message = (++counter) + ") " + artifact.getId();

            buffer.append(constructMissingArtifactMessage(
                    message,
                    "  ",

## 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.

    }

    /**
     * Increment requests sent counter
     */
    public void incrementRequestsSent() {
        requestsSent.incrementAndGet();
    }

    /**
     * Increment requests received counter
     */
    public void incrementRequestsReceived() {
        requestsReceived.incrementAndGet();
    }

    /**
     * Increment error counter
     */
    public void incrementErrors() {

    Supplier<Integer> nonThreadSafe =
        new Supplier<Integer>() {
          int counter = 0;

          @Override
          public Integer get() {
            int nextValue = counter + 1;
            Thread.yield();
            counter = nextValue;
            return counter;
          }
        };

    int numThreads = 10;
    int iterations = 1000;

    Supplier<Integer> nonThreadSafe =
        new Supplier<Integer>() {
          int counter = 0;

          @Override
          public Integer get() {
            int nextValue = counter + 1;
            Thread.yield();
            counter = nextValue;
            return counter;
          }
        };

    int numThreads = 10;
    int iterations = 1000;

        }
        long size = spliterator.getExactSizeIfKnown();
        long[] counter = {0};
        spliterator.forEachRemaining(
            e -> {
              consumer.accept(e);
              counter[0]++;
            });
        if (size >= 0) {
          assertEquals(size, counter[0]);
        }
      }
    },
    ALTERNATE_ADVANCE_AND_SPLIT {
      @Override

        }
        long size = spliterator.getExactSizeIfKnown();
        long[] counter = {0};
        spliterator.forEachRemaining(
            e -> {
              consumer.accept(e);
              counter[0]++;
            });
        if (size >= 0) {
          assertEquals(size, counter[0]);
        }
      }
    },
    ALTERNATE_ADVANCE_AND_SPLIT {
      @Override

    }

    @Test
    @DisplayName("Test run method")
    void testRunMethod() throws Exception {
        AtomicInteger counter = new AtomicInteger(0);

        circuitBreaker.run(() -> counter.incrementAndGet());
        assertEquals(1, counter.get());

        SimpleCircuitBreaker.Statistics stats = circuitBreaker.getStatistics();
        assertEquals(1, stats.totalCalls);