ZH KubeVela Core System Monitoring Dashboard 是 KubeVela Core 系统级别监控控制台。 KubeVela Core Logging Dashboard 是 KubeVela Core 日志监控控制台。
Traduzir "kubevela core system" para inglês
Mostrando 50 de 50 traduções da frase "kubevela core system" de chinês para inglês
Tradução de chinês para inglês de kubevela core system
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EN The KubeVela Core System Monitoring Dashboard is the KubeVela Core system-level monitoring console. The KubeVela Core Logging Dashboard is the KubeVela Core logging monitoring console.
ZH Apple M1 芯片、Intel Core 2 Duo、Core i3、Core i5、Core i7、Core i9、Intel Core M 或 Xeon 处理器
EN Apple M1 chip, Intel Core 2 Duo, Core i3, Core i5, Core i7, Core i9, Intel Core M or Xeon processor
ZH Apple M1、M1 Pro 及 M1 Max 芯片、Intel Core i3、Core i5、Core i7、Core i9、Intel Core M 或 Xeon 处理器
EN Apple M1, M1 Pro, and M1 Max chips, Intel Core i3, Core i5, Core i7, Core i9, Intel Core M or Xeon processor
ZH Apple M1、M1 Pro 及 M1 Max 芯片、Intel Core i3、Core i5、Core i7、Core i9、Intel Core M 或 Xeon 处理器
EN Apple M1, M1 Pro, and M1 Max chips, Intel Core i3, Core i5, Core i7, Core i9, Intel Core M or Xeon processor
ZH 在集群规模变大，应用数量变多时，可能会因为 KubeVela 的控制器性能跟不上需求导致 KubeVela 系统内的应用运维出现问题，这可能是由于你的 KubeVela 控制器参数不当所致。
EN When cluster scale becomes large and more applications are needed for managing, KubeVela controller performance might have bottleneck problems due to inappropriate parameters.
ZH 在 KubeVela 的性能测试中，KubeVela 团队验证了在各种不同规模的场景下 KubeVela 控制器的运维能力。并给出了以下的推荐配置：
EN According to the KubeVela performance test, three sets of parameters are recommended in clusters with different scales as below.
ZH 芯片组 Snapdragon 888 CPU Up to 2.84 GHz single-core Kryo 680, 2.42 GHz tri-core Kryo 680 & 1.8 GHz quad-core Kryo 680 GPU Adreno 660 内存 8192 / 12288 MB 操作系统 Android 11
EN Chipset Snapdragon 888 CPU Up to 2.84 GHz single-core Kryo 680, 2.42 GHz tri-core Kryo 680 & 1.8 GHz quad-core Kryo 680 GPU Adreno 660 Memory 8192 / 12288 MB OS Android 11
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ZH 芯片组 Snapdragon 860 CPU Up to 2.96 GHz single-core Kryo 485, 2.42 GHz tri-core Kryo 485 & 1.8 GHz quad-core Kryo 485 GPU Adreno 640 内存 6144 / 8192 MB 操作系统 Android 11
EN Chipset Snapdragon 860 CPU Up to 2.96 GHz single-core Kryo 485, 2.42 GHz tri-core Kryo 485 & 1.8 GHz quad-core Kryo 485 GPU Adreno 640 Memory 6144 / 8192 MB OS Android 11
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ZH 准备好需要部署的 Kubernetes 集群环境，并在环境中安装 KubeVela 基础组件及 apiserver，确保 KubeVela apiserver 能够从公网访问到。
EN Get Kubernetes for deployment. Install KubeVela and enable its apiserver. Ensure the KubeVela apiserver can be accessed from external environment.
ZH KubeVela 需要安装 KubeVela 并配置
EN KubeVela installed and configured
ZH KubeVela 可以从这些仓库中自动发现 OAM 抽象文件，并且同步这些能力到我们的 KubeVela 平台中。
EN KubeVela is able to discover OAM definition files in this repo automatically and sync them to your own KubeVela platform.
ZH 要解决这个问题，请从 KubeVela releases 将 KubeVela Cli vela 版本升级到 v0.2.2 以上。
EN To fix this issue, please upgrade KubeVela Cli vela version to be higher than v0.2.2 from KubeVela releases.
ZH 该案例中会向 kubevela-demo-namespace 这个 Namespace 中创建名叫 cicd-demo-app 的应用，注意这个 Namespace 需要预先在 Kubernetes 中创建出来。未来 KubeVela 的 apiserver 同样会简化这一流程。
EN In this case we will create an application named cicd-demo-app in Namespace kubevela-demo-namespace. Notice that the Namespace need to be created in Kubernetes in advance. KubeVela apiserver will simplify it in later version.
ZH 当你查看 Pod kubevela-vela-core 的日志并发现如下问题时。
EN When you look into the logs of Pod kubevela-vela-core and found the issue as below.
ZH 可观测性插件（Observability addon）基于 metrics、logging、tracing 数据，可以为 KubeVela core 提供系统级别的监控，也可以为应用提供业务级别的监控。
EN The Observability addon provides system-level monitoring for KubeVela core and business-level monitoring for applications based on metrics, logging, and tracing data.
ZH 默认的 KubeVela 系统 namespace 是 vela-system，内置的 capability 和 schema 位于此处。
EN The default KubeVela system namespace is vela-system, the built-in capabilities and schemas are laid there.
ZH Annabel 穿著 XS 號、鮮紅色的 Core Long Sleeve Jersey ，被穿著 XS 號、深藍色 Core Winter Jacket 的 Flossie 揹在背上。
EN Annabel wears an extra small Core Long Sleeve Jersey in Scarlet, piggybacked by Flossie.
ZH ASP.NET Core 控制項 - DevExpress ASP.NET Core 用戶端控制項與伺服器端 web API 資料處理擴展性相輔相成。因此，無論資料集有多大，使用者都能夠快速塑造和分析任務關鍵型資訊。.
EN Data Grid - A data visualization and editing component that can be bound to various data sources. It comes with built-in features such as paging, sorting, filtering, grouping, frozen columns, virtualization and endless scrolling.
ZH 簡約、耐穿的連身車褲，採用俐落的極簡風格和我們的 Classic 女版麂皮襯墊。適合各種公路騎乘穿著的褲款設計，也有推出無吊帶、附口袋的版本- Core Shorts, Core Cargo Shorts。
EN Simple, durable bib shorts with pared back styling and our women’s Classic chamois pad. Designed to complement any ride, also available without straps and with pockets - Core Shorts, Core Cargo Shorts.
ZH 芯片组 Helio G90T CPU Up to 2.05 GHz dual-core ARM Cortex-A76 & 2.0 GHz hexa-core ARM Cortex-A55 GPU Mali-G76 3EEMC4 内存 6144 / 8192 MB 操作系统 Android 9.0
EN Chipset Helio G90T CPU Up to 2.05 GHz dual-core ARM Cortex-A76 & 2.0 GHz hexa-core ARM Cortex-A55 GPU Mali-G76 3EEMC4 Memory 6144 / 8192 MB OS Android 9.0
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ZH 芯片组 Snapdragon 732G CPU Up to 2.3 GHz dual-core Kryo 470 Gold & 1.8 GHz hexa-core Kryo 470 Silver GPU Adreno 618 内存 6144 MB 操作系统 Android 10
EN Chipset Snapdragon 732G CPU Up to 2.3 GHz dual-core Kryo 470 Gold & 1.8 GHz hexa-core Kryo 470 Silver GPU Adreno 618 Memory 6144 MB OS Android 10
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ZH 芯片组 Apple A12 Bionic CPU Up to 2.49 GHz dual-core "Vortex" and quad-core "Tempest" GPU Apple A12 GPU 内存 4096 MB 操作系统 iOS 12
EN Chipset Apple A12 Bionic CPU Up to 2.49 GHz dual-core "Vortex" and quad-core "Tempest" GPU Apple A12 GPU Memory 4096 MB OS iOS 12
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ZH 芯片组 Snapdragon 632 CPU Up to 1.8 GHz quad-core Kyro 250 Gold & 1.8 GHz quad-core Kyro 250 Silver GPU Adreno 506 内存 4096 MB 操作系统 Android 9.0
EN Chipset Snapdragon 632 CPU Up to 1.8 GHz quad-core Kyro 250 Gold & 1.8 GHz quad-core Kyro 250 Silver GPU Adreno 506 Memory 4096 MB OS Android 9.0
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ZH 芯片组 Apple A14 Bionic CPU Up to 3.1 GHz dual-core "Firestorm" and 1.8 GHz quad-core "Icestorm" GPU Apple A14 GPU 内存 6144 MB 操作系统 iOS 14
EN Chipset Apple A14 Bionic CPU Up to 3.1 GHz dual-core "Firestorm" and 1.8 GHz quad-core "Icestorm" GPU Apple A14 GPU Memory 6144 MB OS iOS 14
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ZH 芯片组 Apple A14 Bionic CPU Up to 3.1 GHz dual-core "Firestorm" and 1.8 GHz quad-core "Icestorm" GPU Apple A14 GPU 内存 4096 MB 操作系统 iOS 14
EN Chipset Apple A14 Bionic CPU Up to 3.1 GHz dual-core "Firestorm" and 1.8 GHz quad-core "Icestorm" GPU Apple A14 GPU Memory 4096 MB OS iOS 14
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ZH 处理器 Intel Core i5-11500, 6-Core, 12线程, 12MB, 从2.7GHz到4.6GHz, 65W
EN Processor Intel Core i5-11500, 6-Core, 12 Threads, 12 MB, from 2.7GHz to 4.6 GHz, 65W
ZH 处理器 Intel Core i9-10900, 10-Core, 20线程, 20MB, 从2.8GHz到5.2GHz
EN Processor Intel Core i9-10900, 10-Core, 20 Threads, 20 MB, from 2.8 GHz to 5.2 GHz
ZH 现有的 Jira Core Server 许可证可续订至太平洋时间 2024 年 2 月 15 日的最晚结束日期。请查看下表以了解 Jira Core Server 续订价格。
EN Existing Jira Core Server licenses can be renewed to a maximum end date of February 15, 2024 PT. Review the table below to find your Jira Core Server renewal price.
ZH 只有同时具有 Jira Service Management Premium 或 Enterprise 和 Jira Software/Jira Core 许可的用户才可以查看对象图形，并更新已链接至 Jira Software/Jira Core 事务的 Insight 对象。
EN Only a licensed user of both Jira Service Management Premium or Enterprise and Jira Software/Jira Core, will have the ability to view the Object Graph and update the Insight objects linked to the Jira Software/Jira Core issue.
ZH 堅固耐用，用於戶外電信使用: 符合 IP65, GR-487-CORE, 和 GR-3108-CORE
EN Ruggedized for outdoor telecom use: IP65, GR-487-CORE, and GR-3108-CORE compliant
ZH “Helix Core 已成为存储每个人作品的核心和关键工具... Helix Core 的速度、可靠性和可扩展性对 Ubisoft 公司至关重要。”
EN “Helix Core has become the central and critical tool to store everybody's work… The speed, reliability, and scalability of Helix Core are crucial to Ubisoft.”
ZH 继续用 Git 开发，但借助 Helix Core 的强大功能。您的开发人员可能更熟悉 Git，他们不需要停止使用它。Helix Core 和 Git 可以完美搭配。
EN Keep developing with Git, but with the power of Helix Core. Your developers are probably more familiar with Git, and they don’t need to stop using it. Helix Core and Git work well together.
ZH Perforce Helix Core 并非市场上唯一的版本控制产品，但它是致力于大规模加速开发的团队的唯一理想选择。将 Helix Core 与竞争产品进行比较。
EN Perforce Helix Core isn’t the only version control option on the market. But it is the only option for teams who need to accelerate development at scale. Compare Helix Core vs. the competition.
ZH <!-- Web.Config 配置文件 --> <configuration> <system.web> <customErrors mode="Off"/> </system.web> </configuration>
EN <!-- Web.Config Configuration File --> <configuration> <system.web> <customErrors mode="Off"/> </system.web> </configuration>
ZH <!-- Web.Config 配置文件 --> <configuration> <system.web> <customErrors mode="RemoteOnly" defaultRedirect="mycustompage.htm"/> </system.web> </configuration>
EN <!-- Web.Config Configuration File --> <configuration> <system.web> <customErrors mode="RemoteOnly" defaultRedirect="mycustompage.htm"/> </system.web> </configuration>
ZH “System Center Configuration Manager 以实现可扩展性为设计理念，Parallels Mac Management 插件旨在帮助扩展和提升相关功能，优化企业环境中对 Mac 进行的 System Center 管理。”
EN "System Center Configuration Manager is designed for extensibility, and the Parallels Mac Management plug-in was built to help expand and enhance System Center’s management of Mac in enterprise environments."
ZH 如果传入了该参数，holds the system level error number that occurred in the system-level connect() call。
EN If provided, holds the system level error number that occurred in the system-level connect() call.
ZH 本文将介绍如何使用 KubeVela 同已有的 CI/CD 工具（比如 Jenkins）共同协作来进行应用的持续交付，并解释这样集成的好处是什么。
EN This section will introduce how to use KubeVela with existing CI/CD tools such as Jenkins and why.
ZH KubeVela 作为一个普适的应用交付控制平面，只需要一点点集成工作就可以同任何现有的 CI/CD 系统对接起来，并且为它们带来一系列现代云原生应用交付的能力，比如：
EN With a simple integration effort, KubeVela as a universal application delivery control plane can then supercharge existing CI/CD tools with modern application deployment capabilities such as:
ZH 接下来，本文将会以一个 HTTP 服务的开发部署为例，介绍 KubeVela + Jenkins 方式下应用的持续集成与持续交付步骤。这个应用的具体代码在这个 GitHub 库中。
EN The following guide will use Jenkins as an example to release a sample HTTP server application step by step. The application code can be found in this GitHub repo.
ZH 对接 Jenkins 与 KubeVela apiserver#
EN Combining Jenkins with KubeVela apiserver#
ZH 对接 Jenkins 与 KubeVela apiserver
EN Combining Jenkins with KubeVela apiserver
ZH KubeVela 支持两种方式调试 application：dry-run 和 live-diff。
EN KubeVela allows you to dry-run and live-diff your application.
ZH 当前示例中，application vela-app 依赖 KubeVela 内置的 component（webservice） 和 trait（ingress）。我们也可以通过参数 -d 或者 --definitions 指定本地 definition 文件。
EN In this example, the definitions(webservice and ingress) which vela-app depends on is the built-in components and traits of KubeVela. You can also use -d or --definitions to specify your local definition files.
ZH 对于任何通过定义对象 安装的 capability, KubeVela 会自动根据 OpenAPI v3 JSON schema 的参数列表来生成 OpenAPI v3 JSON schema，并把它储存到一个和定义对象处于同一个 namespace 的 ConfigMap 中。
EN For any capabilities installed via Definition Objects, KubeVela will automatically generate OpenAPI v3 JSON schema based on its parameter list, and store it in a ConfigMap in the same namespace with the definition object.
ZH KubeVela 中的 Trait 特性可以从基于Helm的组件无缝添加.
EN Traits in KubeVela can be attached to Helm based component seamlessly.
ZH 这是因为 KubeVela 依赖命名去发现负载,否则将不能把 Trait 特性赋予负载
EN This is because KubeVela relies on the name to discovery the workload, otherwise it cannot apply traits to the workload
ZH KubeVela 将会基于你的应用和组件自动生成版本名, 所以你需要保证不能超出你的 Helm 图表中命名模版格式.
EN KubeVela will generate a release name based on your Application name and component name automatically, so you need to make sure never override the full name template in your Helm chart.
ZH 通过 Component，KubeVela 中的所有 traits 都可以兼容原生的 K8s 对象模板。
EN All traits in the KubeVela system works well with the simple template based Component.
ZH 可以通过简单地参考现有的 Kubernetes API 资源来定义 KubeVela 中的 Trait。
EN A trait in KubeVela can be defined by simply reference a existing Kubernetes API resource.
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