client = TestClient(app)


def test_post_user():
    response = client.post(
        "/user/",
        json={
            "username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",

client = TestClient(app)


def test_post_user():
    response = client.post(
        "/user/",
        json={
            "username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",

    return client


@needs_py310
def test_post_user(client: TestClient):
    response = client.post(
        "/user/",
        json={
            "username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",

    return client


@needs_py310
def test_post_user(client: TestClient):
    response = client.post(
        "/user/",
        json={
            "username": "foo",
            "password": "fighter",
            "email": "******@****.***",
            "full_name": "Grave Dohl",
        },
    )
    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "foo",

* Ensure traffic between mesh workloads is securely encrypted with an Istio identity.
* Be lightweight enough to not limit adoption.
  * This puts a much tighter budget on CPU, memory, latency, and throughput requirements than traditional Istio sidecars.

Ztunnel was not designed to be a feature-rich data plane.

import java.util.Collections;
import java.util.List;
import java.util.Random;

/**
 * Benchmark for the {@link CharMatcher} class.
 *
 * @author David Beaumont
 * @author Kevin Bourrillion
 * @author David Richter
 */
public class CharMatcherBenchmark {

  // Caliper injects params automatically

  // Overall configuration
  @Param SampleMatcherConfig config;

  // Length of string to match against

import java.util.Collections;
import java.util.List;
import java.util.Random;

/**
 * Benchmark for the {@link CharMatcher} class.
 *
 * @author David Beaumont
 * @author Kevin Bourrillion
 * @author David Richter
 */
public class CharMatcherBenchmark {

  // Caliper injects params automatically

  // Overall configuration
  @Param SampleMatcherConfig config;

  // Length of string to match against

  // volumeNamespace specifies the scope of the volume within StorageOS.  If no
  // namespace is specified then the Pod's namespace will be used.  This allows the
  // Kubernetes name scoping to be mirrored within StorageOS for tighter integration.
  // Set VolumeName to any name to override the default behaviour.
  // Set to "default" if you are not using namespaces within StorageOS.
  // Namespaces that do not pre-exist within StorageOS will be created.

shiftedit.io

// Shopblocks : http://www.shopblocks.com/
// Submitted by Alex Bowers <******@****.***>
myshopblocks.com

// Shopify : https://www.shopify.com
// Submitted by Alex Richter <alex.richter@shopify.com>
myshopify.com

// Shopit : https://www.shopitcommerce.com/
// Submitted by Craig McMahon <******@****.***>
shopitsite.com

// shopware AG : https://shopware.com

### SIG AWS

In v1.13 we worked on tighter integrations of Kubernetes API objects with AWS services. These include three out-of-tree alpha feature releases:

1) Alpha for AWS ALB (Application Load Balancer) integration to Kubernetes Ingress resources.