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Results 11 - 20 of 27 for performans (0.2 sec)

  1. maven-core/src/test/resources/apiv4-repo/junit/junit/4.13.1/junit-4.13.1.jar

    Product X. That Contributor is then a Commercial Contributor. If that Commercial Contributor then makes performance claims, or offers warranties related to Product X, those performance claims and warranties are such Commercial Contributor's responsibility alone. Under this section, the Commercial Contributor would have to defend claims against the other Contributors related to those performance claims and warranties, and if a court requires any other Contributor to pay any damages as a result, the...
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  2. CHANGELOG/CHANGELOG-1.25.md

    mitigation to avoid disrupting load balancer → kube-apiserver connections if http/2 requests from multiple clients share the same backend connection. An API server on a private network may choose not to enable the kube-apiserver mitigation to prevent performance regressions for unauthenticated clients. Authenticated requests rely on the fix in golang.org/x/net v0.17.0 alone. https://issue.k8s.io/121197 tracks further mitigation of http/2 attacks by authenticated clients. ([#121201](https://github.com/k...
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  3. docs/en/docs/release-notes.md

    * **Safer** types.
    * Better **performance** and **less energy** consumption.
    * Better **extensibility**.
    * etc.
    
    ...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀
    
    In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯
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  4. CHANGELOG/CHANGELOG-1.21.md

    - Kubectl create service now respects namespace flag ([#101005](https://github.com/kubernetes/kubernetes/pull/101005), [@zxh326](https://github.com/zxh326)) [SIG CLI]
    - Kubelet: improve the performance when waiting for a synchronization of the node list with the kube-apiserver ([#99336](https://github.com/kubernetes/kubernetes/pull/99336), [@neolit123](https://github.com/neolit123)) [SIG Node]
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  5. CHANGELOG/CHANGELOG-1.22.md

    A security issue was discovered in kube-apiserver that could allow an attacker controlled aggregated API server to redirect client traffic to any URL.  This could lead to the client performing unexpected actions as well as leaking the client's credentials to third parties. 
    
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  6. CHANGELOG/CHANGELOG-1.16.md

    - Fix: initial delay in mounting azure disk & file ([#93052](https://github.com/kubernetes/kubernetes/pull/93052), [@andyzhangx](https://github.com/andyzhangx)) [SIG Cloud Provider and Storage]
    - Fixed a performance issue applying json patches to deeply nested objects ([#93813](https://github.com/kubernetes/kubernetes/pull/93813), [@liggitt](https://github.com/liggitt)) [SIG API Machinery, CLI, Cloud Provider and Cluster Lifecycle]
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  7. CHANGELOG/CHANGELOG-1.29.md

      
      As this code is still very new, it has not been heavily optimized yet;
      while it is expected to _eventually_ have better performance than the
      iptables backend, very little performance testing has been done so far. ([#121046](https://github.com/kubernetes/kubernetes/pull/121046), [@danwinship](https://github.com/danwinship))
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  8. CHANGELOG/CHANGELOG-1.13.md

    * Resolves bottleneck in internal API server communication that can cause increased goroutines and degrade API Server performance ([#80465](https://github.com/kubernetes/kubernetes/pull/80465), [@answer1991](https://github.com/answer1991))
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  9. CHANGELOG/CHANGELOG-1.7.md

    * custom resources that use unconventional pluralization now work properly with kubectl and garbage collection ([#50012](https://github.com/kubernetes/kubernetes/pull/50012), [@deads2k](https://github.com/deads2k))
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  10. CHANGELOG/CHANGELOG-1.23.md

    ### API Change
    
    - Kubernetes 1.23 is now built with go1.19.4. To match behavior of previous Kubernetes 1.23 patch releases:
      - `kube-apiserver` defaults the GOGC setting to 63, to approximate go1.17 garbage collection memory performance in heavily loaded API servers
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