Rancher CIS Kubernetes v.1.4.0 Benchmark Self
Assessment# Rancher CIS Kubernetes v.1.4.0 Benchmark Self Assessment Rancher v2.2.x Version 1.1.0 - August 2019 Authors Taylor Price Overview The following document scores a Kubernetes 1.13.x RKE cluster provisioned provisioned according to the Rancher v2.2.x hardening guide against the CIS 1.4.0 Kubernetes benchmark. This document is a companion to the Rancher v2.2.x security hardening guide. The hardening guide production installation of Rancher, and this benchmark guide is meant to help you evaluate the level of security of the hardened cluster against each control in the benchmark. Because Rancher and RKE install Kubernetes0 码力 | 47 页 | 302.56 KB | 2 年前3
CIS Benchmark Rancher Self-Assessment Guide - v2.4CIS Benchmark Rancher Self-Assessment Guide - v2.4 ## Contents CIS Kubernetes Benchmark v1.5 - Rancher v2.4 with Kubernetes v1.15.4 Controls 5 1 Master Node Security Configuration 6 1.1 Master 2 Pod Security Policies 50 5.3 Network Policies and CNI 52 ### 5.6 General Policies # CIS Kubernetes Benchmark v1.5 – Rancher v2.4 with Kubernetes v1.15 Click here to download a PDF version of this production installation of Rancher, and this benchmark guide is meant to help you evaluate the level of security of the hardened cluster against each control in the benchmark. This guide corresponds to specific0 码力 | 54 页 | 447.77 KB | 2 年前3
CIS 1.6 Benchmark - Self-Assessment Guide - Rancher v2.5.4CIS 1.6 Benchmark - Self-Assessment Guide - Rancher v2.5.4 ## Contents ###### CIS 1.6 Kubernetes Benchmark - Rancher v2.5.4 with Kubernetes v1.18 ## Controls ### 1.1 Etcd Node Configuration Files 1 Ensure that the --cert-file and --key-file arguments are set as appropriate (Automated) 85 ##### CIS 1.6 Benchmark - Self-Assessment Guide - Rancher v2.5.4 2.2 Ensure that the --client-cert-auth argument is 110 4.2.1 Ensure that the anonymous-auth argument is set to false (Automated) 110 ##### CIS 1.6 Benchmark - Self-Assessment Guide - Rancher v2.5.4 4.2.2 Ensure that the --authorization-mode argument0 码力 | 132 页 | 1.12 MB | 2 年前3
CIS 1.5 Benchmark - Self-Assessment Guide - Rancher v2.5CIS 1.5 Benchmark - Self-Assessment Guide - Rancher v2.5 ## Contents CIS v1.5 Kubernetes Benchmark - Rancher v2.5 with Kubernetes v1.15.4 Controls 5 1 Master Node Security Configuration 6 2 Pod Security Policies 50 CIS 1.5 Benchmark – Self-Assessment Guide – Rancher v2.5 5.3 Network Policies and CNI 52 5.6 General Policies 53 # CIS v1.5 Kubernetes Benchmark – Rancher v2.5 with Kubernetes production installation of Rancher, and this benchmark guide is meant to help you evaluate the level of security of the hardened cluster against each control in the benchmark. This guide corresponds to specific0 码力 | 54 页 | 447.97 KB | 2 年前3
Rancher Hardening Guide v2.3.5outlines the configurations and controls required to address Kubernetes benchmark controls from the Center for Information Security (CIS). This hardening guide describes how to secure the nodes in your cluster intended to be used with specific versions of the CIS Kubernetes Benchmark, Kubernetes, and Rancher: |Hardening Guide Version|Rancher Version|CIS Benchmark Version|Kubernetes Version| |---|---|---|---| |Hardening |Hardening Guide v2.3.5|Rancher v2.3.5|Benchmark v1.5|Kubernetes 1.15| Click here to download a PDF version of this document ## Overview This document provides prescriptive guidance for hardening a0 码力 | 21 页 | 191.56 KB | 2 年前3
Rancher Hardening Guide v2.4outlines the configurations and controls required to address Kubernetes benchmark controls from the Center for Information Security (CIS). This hardening guide describes how to secure the nodes in your cluster intended to be used with specific versions of the CIS Kubernetes Benchmark, Kubernetes, and Rancher: |Hardening Guide Version|Rancher Version|CIS Benchmark Version|Kubernetes Version| |---|---|---|---| |Hardening |Hardening Guide v2.4|Rancher v2.4|Benchmark v1.5|Kubernetes 1.15| Click here to download a PDF version of this document ## Overview This document provides prescriptive guidance for hardening a production0 码力 | 22 页 | 197.27 KB | 2 年前3
Kubernetes安全求生指南Risk ## 針對Kubernetes的安全強化實作參考: CIS Benchmark  ## CIS Benchmarks ## CIS Kubernetes Benchmark v1.5.0 - 10-14-2019 1. 控制平面元件 Plane Configuration) 4. 工作節點 (Worker Node) 5. 政策 (Policies) Source: https://www.cisecurity.org/benchmark/kubernetes/©2019 VMware, Inc. #### 1.2.20 Ensure that the --secure-port argument is not set to0 码力 | 23 页 | 2.14 MB | 2 年前3
Hardening Guide - Rancher v2.3.3+Kubernetes benchmark controls from the Center for Information Security (CIS). For more detail about evaluating a hardened cluster against the official CIS benchmark, refer to the CIS Benchmark Rancher Self-Assessment Guide - Rancher v2.3.3+. ## Profile Definitions The following profile definitions agree with the CIS benchmarks for Kubernetes. A profile is a set of configurations that provide a certain amount of hardening Description Ensure Kubelet options are configured to match CIS controls. ## Rationale To pass the following controls in the CIS benchmark, ensure the appropriate flags are passed to the Kubelet. •0 码力 | 44 页 | 279.78 KB | 2 年前3
Online Tools Every C++ Developer Should KnowFile:Line main.cpp:15 Quick C++ Benchmark ## Quick C++ Benchmark  static void StringCreation(benchmark::State& state) { away by compiler benchmark::DoNotOptimize(created_string); } } // Register the function as a benchmark BENCHMARK(StringCreation); static void StringCopy(benchmark::State& state) { // std::string x = "hello"; for (auto _ : state) { std::string copy(x); } } BENCHMARK(StringCopy); ### http://quick-bench.com Run Quick Bench locally Support Quick Bench Suite ▼ More0 码力 | 11 页 | 1.11 MB | 1 年前3
Modern C++ for Parallelism in High Performance ComputingPerformance Computing Victor Eijkhout CppCon 2024 ## I ntroduction This poster reports on ‘D2D’, a benchmark that explores elegance of expression and performance in the context of a High Performance Computing and therefore should scale perfectly in parallel, with fairly predictable performance. The D2D benchmark explores to what extent we achieve scaling for different parallelization strategies: C-style programming computes each location in an output array from a small number of points in an input array. In our benchmark we use the 2nd order Laplace operator: $$ \forall_{i,j}\colon y_{ij}\leftarrow4x_{ij}-x_{i-1,j}-x_{i+10 码力 | 3 页 | 91.16 KB | 1 年前3
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