"type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "sum by (pod) (container_memory_working_set_bytes{container=\"discovery\",pod=~\"istiod-.*\"})",
               "legendFormat": "Container ({{pod}})"
            },
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },

normal;\n}\n\n.pre-scrollable {\n  max-height: 340px;\n  overflow-y: scroll;\n}\n\n.container,\n.container-fluid,\n.container-sm,\n.container-md,\n.container-lg,\n.container-xl {\n  width: 100%;\n  padding-right: 15px;\n  padding-left: 15px;\n  margin-right: auto;\n  margin-left: auto;\n}\n\n@media (min-width: 576px) {\n  .container, .container-sm {\n    max-width: 540px;\n  }\n}\n\n@media (min-width: 768px) {\n  .container, .container-sm, .container-md {\n    max-width: 720px;\n  }\n}\n\n@media (min-width: 992px)...

/// tip

Don't worry if some of these items about **containers**, Docker, or Kubernetes don't make a lot of sense yet.

services, that scale well. It is not about just retrofitting monolithic applications onto modern 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...

        with:
          registry: us-central1-docker.pkg.dev
          username: _json_key
          password: ${{ secrets.GCP_CREDS }}
      -
        name: Grab the upcoming TF version to tag this container
        run: |
          # [[:digit:]] searches for numbers and \+ joins them together
          major_version=$(grep "^#define TF_MAJOR_VERSION" ./tensorflow/core/public/version.h | grep -o "[[:digit:]]\+")

- Fixed a bug where init containers may fail to start due to a temporary container runtime failure. ([#127212](https://github.com/kubernetes/kubernetes/pull/127212), [@SergeyKanzhelev](https://github.com/SergeyKanzhelev)) [SIG Node]

     *            to some artifact's metadata.
     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     * @return The interpolated model, never {@code null}.

FROM ubuntu:noble

ENV DEBIAN_FRONTEND=noninteractive

# Do not add more stuff to this list that isn't small or critically useful.
# If you occasionally need something on the container do
# sudo apt-get update && apt-get whichever

# hadolint ignore=DL3005,DL3008
RUN apt-get update && \
  apt-get install --no-install-recommends -y \
  ca-certificates \
  curl \
  iptables \
  iproute2 \
  iputils-ping \
  knot-dnsutils \

import static org.junit.jupiter.api.Assertions.assertNotNull;

@PlexusTest
@Deprecated
class DefaultProfileManagerTest {

    @Inject
    PlexusContainer container;

    protected PlexusContainer getContainer() {
        return container;
    }

    @Test
    void testShouldActivateDefaultProfile() throws Exception {
        Profile notActivated = new Profile();
        notActivated.setId("notActivated");

     * Dynamic Configuration (ConfigMap API in the core API group) enables application
configuration to be stored as a Kubernetes API object and pulled dynamically on
container startup, as an alternative to baking in command-line flags when a
container is built.
     * Turnkey Deployments (Deployment API (Beta) in the Extensions API group)
automate deployment and rolling updates of applications, specified