- Fixed JobTrackingWithFinalizers when a pod succeeds after the job is considered failed, which led to API conflicts that blocked finishing the job. ([#111646](https://github.com/kubernetes/kubernetes/pull/111646), [@alculquicondor](https://github.com/alculquicondor))
- Fixed `JobTrackingWithFinalizers` that:
  - was declaring a job finished before counting all the created pods in the status

   ([#123273](https://github.com/kubernetes/kubernetes/pull/123273), [@mimo...

- Fixed the API comments for the Job `Ready` field in status. ([#121765](https://github.com/kubernetes/kubernetes/pull/121765), [@mimowo](https://github.com/mimowo))
- Fixed the API comments for the `FailIndex` Job pod failure policy action. ([#121764](https://github.com/kubernetes/kubernetes/pull/121764), [@mimowo](https://github.com/mimowo))

-   In such situations, we may request you to make further changes to your PR
    for the tests to pass.
-   Once the tests pass, we now bring all the code into the internal code base,
    using a job called "copybara".

**5. Copy to Google Internal codebase and run internal CI**

-   Once the PR is in the Google codebase, we make sure it integrates well with
    its dependencies and the rest of the system.

### Bug or Regression

- Fix JobTrackingWithFinalizers when a pod succeeds after the job is considered failed, which led to API conflicts that blocked finishing the job. ([#111665](https://github.com/kubernetes/kubernetes/pull/111665), [@alculquicondor](https://github.com/alculquicondor)) [SIG Apps and Testing]

1. If the destination has a waypoint proxy, we must send to it to the waypoint (using HBONE).
   When we do this, we will want to preserve the original destination Service IP, as the waypoint can do a better job picking a backend pod than we can.

### Example Tools to Run at Startup

Some examples of the tools that can do this job are:

* Docker
* Kubernetes
* Docker Compose
* Docker in Swarm Mode
* Systemd
* Supervisor
* Handled internally by a cloud provider as part of their services
* Others...

In this scenario, each one of the cleaners (including you) would be a processor, doing their part of the job.

And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound".

---

- Pods owned by a Job now uses the labels `batch.kubernetes.io/job-name` and `batch.kubernetes.io/controller-uid`.
  The legacy labels `job-name` and `controller-uid` are still added for compatibility. ([#114930](https://github.com/kubernetes/kubernetes/pull/114930), [@kannon92](https://github.com/kannon92))

            .build()

        val startNanos = System.nanoTime()
        val call = client.newCall(request)

        // Schedule a job to cancel the call in 1 second.
        executor.schedule({
          System.out.printf("%.2f Canceling call.%n", (System.nanoTime() - startNanos) / 1e9f)
          call.cancel()