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  • pdf文档 CIS Benchmark Rancher Self-Assessment Guide - v2.4

    Rancher and RKE install Kubernetes services via Docker containers. Configuration is defined by arguments passed to the container at the time of initialization, not via configuration files. CIS Benchmark require or maintain a configuration file for the API server. All configuration is passed in as arguments at container run time. 1.1.2 Ensure that the API server pod specification file ownership is set require or maintain a configuration file for the API server. All configuration is passed in as arguments at container run time. 1.1.3 Ensure that the controller manager pod specification file permissions
    0 码力 | 54 页 | 447.77 KB | 1 年前
    3
  • pdf文档 CIS 1.5 Benchmark - Self-Assessment Guide - Rancher v2.5

    Rancher and RKE install Kubernetes services via Docker containers. Configuration is defined by arguments passed to the container at the time of initialization, not via configuration files. CIS 1.5 Benchmark require or maintain a configuration file for the API server. All configuration is passed in as arguments at container run time. 1.1.2 Ensure that the API server pod specification file ownership is set require or maintain a configuration file for the API server. All configuration is passed in as arguments at container run time. 1.1.3 Ensure that the controller manager pod specification file permissions
    0 码力 | 54 页 | 447.97 KB | 1 年前
    3
  • pdf文档 CIS 1.6 Benchmark - Self-Assessment Guide - Rancher v2.5.4

    to true (Automated) 1.2.5 Ensure that the --kubelet-client-certificate and -- kubelet-client-key arguments are set as appropriate (Automated) 1.2.6 Ensure that the --kubelet-certificate-authority argument the --etcd-certfile and --etcd-keyfile arguments are set as appropriate (Automated) 1.2.30 Ensure that the --tls-cert-file and --tls-private- key-file arguments are set as appropriate (Automated) 1.2.31 1 (Automated) 2 Etcd Node Configuration Files 2.1 Ensure that the --cert-file and --key-file arguments are set as appropriate (Automated) CIS 1.6 Benchmark - Self-Assessment Guide - Rancher v2.5.4
    0 码力 | 132 页 | 1.12 MB | 1 年前
    3
  • pdf文档 Rancher CIS Kubernetes v.1.4.0 Benchmark Self Assessment

    Rancher and RKE install Kubernetes services via Docker containers. Configuration is defined by arguments passed to the container at the time of initialization, not via configuration files. Scoring the Mitigation) 1.1.22 - Ensure that the --kubelet-client-certificate and -- kubelet-client-key arguments are set as appropriate (Scored) Audit ( --kubelet-client-certificate ) docker inspect kube-apiserver token-key.pem Result: Pass 1.1.26 - Ensure that the --etcd-certfile and --etcd-keyfile arguments are set as appropriate (Scored) Audit ( --etcd-certfile ) docker inspect kube-apiserver | jq -e
    0 码力 | 47 页 | 302.56 KB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.1.1

    collecting the column header names. Otherwise it takes the index name or a default variable Hence, the arguments value_name and var_name are just user-defined names for the two generated columns. The columns to air_quality_parameters_name both provide the measured variable in a common format. The left_on and right_on arguments are used here (instead of just on) to make the link between the two tables. pandas supports also DataFrame Along with the data, you can optionally pass index (row labels) and columns (column labels) arguments. If you pass an index and / or columns, you are guaranteeing the index and / or columns of the resulting
    0 码力 | 3231 页 | 10.87 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.1.0

    collecting the column header names. Otherwise it takes the index name or a default variable Hence, the arguments value_name and var_name are just user-defined names for the two generated columns. The columns to air_quality_parameters_name both provide the measured variable in a common format. The left_on and right_on arguments are used here (instead of just on) to make the link between the two tables. pandas supports also DataFrame Along with the data, you can optionally pass index (row labels) and columns (column labels) arguments. If you pass an index and / or columns, you are guaranteeing the index and / or columns of the resulting
    0 码力 | 3229 页 | 10.87 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.0.0

    inputs if not explicitly provided (GH27292) • DataFrame.to_latex() now accepts caption and label arguments (GH25436) • DataFrames with nullable integer, the new string dtype and period data type can now to_html() for non-ascii text (GH28663) • Styler.background_gradient() now accepts vmin and vmax arguments (GH12145) • Styler.format() added the na_rep parameter to help format the missing values (GH21527 now only accepts one positional argument DataFrame.rename() would previously accept positional arguments that would lead to ambiguous or undefined behavior. From pandas 1.0, only the very first argument
    0 码力 | 3015 页 | 10.78 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.2

    collecting the column header names. Otherwise it takes the index name or a default variable Hence, the arguments value_name and var_name are just user-defined names for the two generated columns. The columns to air_quality_parameters_name both provide the measured variable in a common format. The left_on and right_on arguments are used here (instead of just on) to make the link between the two tables. pandas supports also DataFrame Along with the data, you can optionally pass index (row labels) and columns (column labels) arguments. If you pass an index and / or columns, you are guaranteeing the index and / or columns of the resulting
    0 码力 | 3509 页 | 14.01 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.3

    collecting the column header names. Otherwise it takes the index name or a default variable Hence, the arguments value_name and var_name are just user-defined names for the two generated columns. The columns to air_quality_parameters_name both provide the measured vari- able in a common format. The left_on and right_on arguments are used here (instead of just on) to make the link between the two tables. pandas supports also DataFrame Along with the data, you can optionally pass index (row labels) and columns (column labels) arguments. If you pass an index and / or columns, you are guaranteeing the index and / or columns of the resulting
    0 码力 | 3603 页 | 14.65 MB | 1 年前
    3
  • pdf文档 pandas: powerful Python data analysis toolkit - 1.3.4

    collecting the column header names. Otherwise it takes the index name or a default variable Hence, the arguments value_name and var_name are just user-defined names for the two generated columns. The columns to air_quality_parameters_name both provide the measured vari- able in a common format. The left_on and right_on arguments are used here (instead of just on) to make the link between the two tables. pandas supports also DataFrame Along with the data, you can optionally pass index (row labels) and columns (column labels) arguments. If you pass an index and / or columns, you are guaranteeing the index and / or columns of the resulting
    0 码力 | 3605 页 | 14.68 MB | 1 年前
    3
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