* no ([#75820](https://github.com/kubernetes/kubernetes/pull/75820), [@YoubingLi](https://github.com/YoubingLi))
* Use stdlib to log stack trace when a panic occurs ([#75853](https://github.com/kubernetes/kubernetes/pull/75853), [@roycaihw](https://github.com/roycaihw))

* Fix GCI mounter issue ([#38124](https://github.com/kubernetes/kubernetes/pull/38124), [@jingxu97](https://github.com/jingxu97))
* Kubelet will no longer set hairpin mode on every interface on the machine when an error occurs in setting up hairpin for a specific interface. ([#36990](https://github.com/kubernetes/kubernetes/pull/36990), [@bboreham](https://github.com/bboreham))

Jesse Wilson <******@****.***> 1703114827 -0500

- Fixed a memory leak in the Kubernetes API server that occurs during APIService processing. ([#117310](https://github.com/kubernetes/kubernetes/pull/117310), [@enj](https://github.com/enj)) [SIG API Machinery]

code is in no case prevented or interfered with solely because
modification has been made.

  If you convey an object code work under this section in, or with, or
specifically for use in, a User Product, and the conveying occurs as
part of a transaction in which the right of possession and use of the
User Product is transferred to the recipient in perpetuity or for a
fixed term (regardless of how the transaction is characterized), the

Lors du déploiement d'applications, vous voudrez probablement avoir une réplication de processus pour tirer parti de plusieurs cœurs et pouvoir gérer davantage de requêtes.

Comme vous l'avez vu dans le chapitre précédent sur les [Concepts de déploiement](concepts.md), il existe plusieurs stratégies possibles.

- Fixed a memory leak in the Kubernetes API server that occurs during APIService processing. ([#117311](https://github.com/kubernetes/kubernetes/pull/117311), [@enj](https://github.com/enj)) [SIG API Machinery]

resources (such as `cpu_shares`). The Kubernetes cgroup manager uses `memory.limit_in_bytes` in v1 cgroups to limit the memory capacity for a container, and uses `oom_scores` to recommend an order for killing container processes if an out-of-memory event occurs. This implementation has shortcomings: for `Guaranteed` pods, memory can not be fully reserved, and the page cache is at risk of being recycled. For `Burstable` pods, overcommitting memory (setting `request` less than `limit` ) could increase the...

        assertEquals("_default:fess", clauses.get(0).query().toString());
        assertEquals(Occur.MUST, clauses.get(0).occur());
        assertEquals(TermQuery.class, clauses.get(1).query().getClass());
        assertEquals("_default:codelibs", clauses.get(1).query().toString());
        assertEquals(Occur.MUST, clauses.get(1).occur());

        query = queryParser.createDefaultFilterChain().parse("fess AND codelibs");

        TermQuery termQuery3 = new TermQuery(new Term("field3", "value3"));

        boolQueryBuilder.add(termQuery1, BooleanClause.Occur.MUST);
        boolQueryBuilder.add(termQuery2, BooleanClause.Occur.SHOULD);
        boolQueryBuilder.add(termQuery3, BooleanClause.Occur.MUST_NOT);
        BooleanQuery booleanQuery = boolQueryBuilder.build();

        QueryContext context = new QueryContext("test", false);