"format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Incoming Request Volume",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },

          "expr": "round(sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\"}[5m])), 0.001)",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Client Request Volume",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },

 * is by declaring that step to be the last step of the pipeline. Nevertheless, we refer to the
 * "value" of a successful step or the "result" (value or exception) of any step.
 *
 * <ol>
 *   <li>A pipeline starts at its leaf step (or steps), which is created from either a callable
 *       block or a {@link ListenableFuture}.

                  }
                }),
            executor);

    // Pause in step 2.
    step2Waiter.awaitStarted();

    // Everything should still be open.
    assertStillOpen(closeable1, closeable2, closeable3, closeable4);

    // Cancel step 3, resume step 2, and pause in step 4.
    assertWithMessage("step3.cancel()").that(step3.cancel(false)).isTrue();
    step2Waiter.awaitReturned();
    step4Waiter.awaitStarted();

You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.

## Recap, step by step

### Step 1: import `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI` is a Python class that provides all the functionality for your API.

/// note | Technical Details

### Install `tuned.conf` performance profile

#### Step 1 - download `tuned.conf` from the referenced link
```
wget https://raw.githubusercontent.com/minio/minio/master/docs/tuning/tuned.conf
```

#### Step 2 - install tuned.conf as supported performance profile on all nodes
```
sudo mkdir -p /usr/lib/tuned/minio/
sudo mv tuned.conf /usr/lib/tuned/minio
```

#### Step 3 - to enable minio performance profile on all the nodes
```

## Making changes

### Step 1. Make changes in charts and values.yaml in `manifests` directory

Be sure to provide sufficient documentation and example usage in values.yaml.

- If the chart has a `values.schema.json`, that should be updated as well.

### Step 2. Update the istioctl/Operator values

If you are modifying the `gateway` chart, you can stop here.

          "format": "time_series",
          "hide": false,
          "intervalFactor": 2,
          "legendFormat": "Total (k8s)",
          "refId": "A",
          "step": 2
        }
      ],
      "title": "Memory",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },

>
> ```
> mc admin config set myminio/ notify_postgres[:name] connection_string="host=hostname port=2832 username=psqluser password=psqlpass database=bucketevents"
> ```
>
> Please make sure this step is carried out, without this step PostgreSQL notification targets will not work,
> an error message will be shown on the console upon server upgrade/restart, make sure to follow the above

        val model = setupModelFor("master")
        val startReleaseCycle = model.findBuildTypeByName("Start Release Cycle")

        val steps = startReleaseCycle.steps.items
        assertEquals(1, steps.size)

        val step = gradleStep(steps, 0)
        step.assertTasks("clean promoteStartReleaseCycle")
        assertEquals(