Copilot 57. Insomnia 58. IntelliJ HTTP 客户端插件 59. KEDA 60. Kubeconform 61. mob 62. MobSF 63. Mocks Server 64. Prisma 运行时防护 65. Terratest 66. Thanos 67. Yalc 评估 68. ChatGPT 69. Codeium 70. GitHub 合并队列 71 82. Tabnine 暂缓 — 采纳 83. Playwright 试验 84. .NET Minimal API 85. Ajv 86. Armeria 87. AWS SAM 88. Dart 89. fast-check 90. Kotlin with Spring 91. Mockery 92. Netflix DGS 93. OpenTelemetry 94. Polars 95 Copilot 57. Insomnia 58. IntelliJ HTTP 客户端插件 59. KEDA 60. Kubeconform 61. mob 62. MobSF 63. Mocks Server 64. Prisma 运行时防护 65. Terratest 66. Thanos 67. Yalc 评估 68. ChatGPT 69. Codeium 70. GitHub 合并队列 71

组件异常 • API Server Load Balancer 异常 • API Server Pod 异常 影响 • 通过 API Server 访问集群概率失败 • 升级集群失败 Load Balancer Service Master API Server Pod Master API Server Pod Master API Server Pod Kubernetes /Standalong） 问题检测 • 硬件（CPU、内存、磁盘） • 操作系统（ NTP、内核死锁、文件系统异常） • Container Runtime（无响应） 问题上报 • API server • Prometheus node-problem-detector Sonobuoy 运行模式 • 集群节点（Collector Pod + DaemonSet/One Shot）

deployed. Apache Karaf uses either Apache Felix Framework or Eclipse Equinox OSGi frameworks, and provide additional features on top of the framework. Apache Karaf can be scaled from a very lightweight Advanced Logging System: Apache Karaf supports a large set of Logging framework (slf4j, log4j, etc). Whatever the logging framework you use, Apache Karaf centralizes the configuration in one file. • Provisioning: Karaf embeds an SSHd server allowing you to use the console remotely. The management layer is also accessible remotely. • Security: Apache Karaf provides a complete security framework (based on JAAS), and

Karaf Container 4.x - Documentation 1. Overview 2. Quick Start 2.1. Prerequisites 2.2. Start the server 2.3. Shell console basics 2.4. Deploy a sample application 2.5. Stopping and uninstalling the Subshell and completion mode 4.5.3. Unix like environment 4.5.4. Security 4.6. Remote 4.6.1. SSHd server 4.6.2. JMX MBeanServer 4.7. Log 4.7.1. Configuration files 4.7.2. Log4j v2 support 4.7.3. karaf Guide 5.1. Developer commands 5.1.1. Dump 5.1.2. Diagnostic 5.1.3. Dynamic import 5.1.4. OSGi framework 5.1.5. Stack traces printout 5.1.6. Bundle tree 5.1.7. Watch 5.2. Scripting 5.2.1. Assignation

feature:install decanter-collector-eventadmin By default, the eventadmin collector is listening for all OSGi framework and Karaf internal events. You can specify additional events to trap by providing a ‘etc/org remote MBean server (Karaf based or not) providing the service URL. Apache Karaf Decanter 2.x - Documentation - 7 • the username property contains the username to connect to the MBean server. It’s only only required if the MBean server is secured. • the password property contains the password to connect to the MBean server. It’s only required if the MBean server is secured. • the object.name prefix is

installs the eventadmin collector: By default, the eventadmin collector is listening for all OSGi framework and Karaf internal events. You can specify additional events to trap by providing a ‘etc/ org remote MBean server (Karaf based or not) providing the service URL. • the username property contains the username to connect to the MBean server. It’s only required if the MBean server is secured. • • the password property contains the password to connect to the MBean server. It’s only required if the MBean server is secured. # # Decanter Local JMX collector configuration # # Name/type of the JMX

widely-used deep learning frameworks such as PyTorch. PyTorch is a GPU-accelerated tensor computational framework with a Python front end. Functionality can be easily extended with common Python libraries such layer level. This functionality brings a high level of flexibility and speed as a deep learning framework and provides accelerated NumPy-like functionality. PyTorch also includes standard defined neural more information. The deep learning frameworks, the NGC Docker containers, and the deep learning framework containers are stored in the nvcr.io/nvidia repository. PyTorch RN-08516-001_v23.07 | 3 Chapter

Pre-release 0.1.0(2018-12-05) What is Baetyl Baetyl [https://baetyl.io] is an open edge computing framework of Linux Foundation Edge [https://www.lfedge.org] that extends cloud computing, data and service accurately to improve the efficiency of resource utilization. Advantages Shielding Computing Framework: Baetyl provides two official computing modules(Local Function Module and Python Runtime Module) supports customize module(which can be written in any programming language or any machine learning framework). Simplify Application Production: Baetyl combines with Cloud Management Suite of BIE and many other

BAETYL Documentation 2 Contents CHAPTER 1 What is Baetyl Baetyl is an open edge computing framework of Linux Foundation Edge that extends cloud computing, data and service seamlessly to edge devices accurately to improve the efficiency of resource utilization. 1.1 Advantages • Shielding Computing Framework: Baetyl provides two official computing modules(Local Function Module and Python Runtime Module) supports customize module(which can be written in any programming language or any machine learning framework). • Simplify Application Production: Baetyl combines with Cloud Management Suite of BIE and many

然后 Docker 就会自己去 git clone 这个项目、切换到指定分支、并进入到指定目录后开始 构建。 用给定的 tar 压缩包构建 $ docker build http://server/context.tar.gz 如果所给出的 URL 不是个 Git repo，而是个 tar 压缩包，那么 Docker 引擎会下载这个包， 并自动解压缩，以其作为上下文，开始构建。 myip -i ： $ docker run myip 当前 IP：61.148.226.66 来自：北京市 联通 $ docker run myip -i HTTP/1.1 200 OK Server: nginx/1.8.0 Date: Tue, 22 Nov 2016 05:12:40 GMT Content-Type: text/html; charset=UTF-8 Vary: "redis-server" ] 可以看到其中为了 redis 服务创建了 redis 用户，并在最后指定了 ENTRYPOINT 为 docker- entrypoint.sh 脚本。 #!/bin/sh ... # allow the container to be started with `--user` if [ "$1" = 'redis-server' -a "$(id