Chef Manage

The Chef management console enables the management of nodes, data bags, roles, environments, and cookbooks by using a web user interface. In addition, access to nodes, data bags, roles, environments, and cookbooks is configurable using role-based access control (RBAC).

Nodes

The Chef management console provides ways for users to delete nodes and reset their private keys, edit node attributes, manage the run-lists, configure user and group permissions, and manage tags.

Search

Query Syntax

A search query is comprised of two parts: the key and the search pattern. A search query has the following syntax:

key:search_pattern

where key is a field name that’s found in the JSON description of an indexable object on the Chef Infra Server (a role, node, client, environment, or data bag) and search_pattern defines what will be searched for, using one of the following search patterns: exact, wildcard, range, or fuzzy matching. Both key and search_pattern are case-sensitive; key has limited support for multiple character wildcard matching using an asterisk ("*") (and as long as it’s not the first character).

Keys

Nested Fields

A nested field appears deeper in the JSON data structure. For example, information about a network interface might be several layers deep: node['network']['interfaces']['en1']. When nested fields are present in a JSON structure, Chef Infra Client will extract those nested fields to the top-level, flattening them into compound fields that support wildcard search patterns.

By combining wildcards with range-matching patterns and wildcard queries, it’s possible to perform powerful searches, such as using the vendor part of the MAC address to find every node that has a network card made by the specified vendor.

Consider the following snippet of JSON data:

{"network":
  [
  //snipped...
    "interfaces",
      {"en1": {
        "number": "1",
        "flags": [
          "UP",
          "BROADCAST",
          "SMART",
          "RUNNING",
          "SIMPLEX",
          "MULTICAST"
        ],
        "addresses": {
          "fe80::fa1e:dfff:fed8:63a2": {
            "scope": "Link",
            "prefixlen": "64",
            "family": "inet6"
          },
          "f8:1e:df:d8:63:a2": {
            "family": "lladdr"
          },
          "192.0.2.0": {
            "netmask": "255.255.255.0",
            "broadcast": "192.168.0.255",
            "family": "inet"
          }
        },
        "mtu": "1500",
        "media": {
          "supported": {
            "autoselect": {
              "options": [

              ]
            }
          },
          "selected": {
            "autoselect": {
              "options": [

              ]
            }
          }
        },
        "type": "en",
        "status": "active",
        "encapsulation": "Ethernet"
      },
  //snipped...

Before this data is indexed on the Chef Infra Server, the nested fields are extracted into the top level, similar to:

"broadcast" => "192.168.0.255",
"flags"     => ["UP", "BROADCAST", "SMART", "RUNNING", "SIMPLEX", "MULTICAST"]
"mtu"       => "1500"

which allows searches like the following to find data that’s present in this node:

node "broadcast:192.168.0.*"

or:

node "mtu:1500"

or:

node "flags:UP"

This data is also flattened into various compound fields, which follow the same pattern as the JSON hierarchy and use underscores (_) to separate the levels of data, similar to:

# ...snip...
"network_interfaces_en1_addresses_192.0.2.0_broadcast" => "192.168.0.255",
"network_interfaces_en1_addresses_fe80::fa1e:tldr_family"  => "inet6",
"network_interfaces_en1_addresses"                         => ["fe80::fa1e:tldr","f8:1e:df:tldr","192.0.2.0"]
# ...snip...

which allows searches like the following to find data that’s present in this node:

node "network_interfaces_en1_addresses:192.0.2.0"

This flattened data structure also supports using wildcard compound fields, which allow searches to omit levels within the JSON data structure that aren’t important to the search query. In the following example, an asterisk (*) is used to show where the wildcard can exist when searching for a nested field:

"network_interfaces_*_flags"     => ["UP", "BROADCAST", "SMART", "RUNNING", "SIMPLEX", "MULTICAST"]
"network_interfaces_*_addresses" => ["fe80::fa1e:dfff:fed8:63a2", "192.0.2.0", "f8:1e:df:d8:63:a2"]
"network_interfaces_en0_media_*" => ["autoselect", "none", "1000baseT", "10baseT/UTP", "100baseTX"]
"network_interfaces_en1_*"       => ["1", "UP", "BROADCAST", "SMART", "RUNNING", "SIMPLEX", "MULTICAST",
                                     "fe80::fa1e:dfff:fed8:63a2", "f8:1e:df:d8:63:a2", "192.0.2.0",
                                     "1500", "supported", "selected", "en", "active", "Ethernet"]

For each of the wildcard examples above, the possible values are shown contained within the brackets. When running a search query, the query syntax for wildcards is to simply omit the name of the node (while preserving the underscores), similar to:

network_interfaces__flags

This query will search within the flags node, within the JSON structure, for each of UP, BROADCAST, SMART, RUNNING, SIMPLEX, and MULTICAST.

About Patterns

Exact Matching

Wildcard Matching

A wildcard matching search pattern is used to query for substring matches that replace zero (or more) characters in the search pattern with anything that could match the replaced character. There are two types of wildcard searches:

• A question mark (?) can be used to replace exactly one character (as long as that character isn’t the first character in the search pattern)
• An asterisk (*) can be used to replace any number of characters (including zero)

Range Matching

A range matching search pattern is used to query for values that are within a range defined by upper and lower boundaries. A range matching search pattern can be inclusive or exclusive of the boundaries. Use square brackets ("[ ]") to denote inclusive boundaries and curly braces ("{ }") to denote exclusive boundaries and with the following syntax:

boundary TO boundary

where TO is required (and must be capitalized).

Fuzzy Matching

A fuzzy matching search pattern is used to search based on the proximity of two strings of characters. An (optional) integer may be used as part of the search query to more closely define the proximity. A fuzzy matching search pattern has the following syntax:

"search_query"~edit_distance

where search_query is the string that will be used during the search and edit_distance is the proximity. A tilde ("~") is used to separate the edit distance from the search query.

About Operators

An operator can be used to ensure that certain terms are included in the results, are excluded from the results, or aren’t included even when other aspects of the query match. Searches can use the following operators:

Operators must be in ALL CAPS. Parentheses can be used to group clauses and to form sub-queries.

ERROR: knife search failed: invalid search query:
'datacenter%3A123%20AND%20NOT%20hostname%3Adev-%20AND%20NOT%20hostanem%3Asyslog-'
Parse error at offset: 38 Reason: Expected one of \ at line 1, column 42 (byte 42) after AND

knife search sample "id:foo AND -id:bar"

Special Characters

A special character can be used to fine-tune a search query and to increase the accuracy of the search results. The following characters can be included within the search query syntax, but each occurrence of a special character must be escaped with a backslash (\), also (/) must be escaped against the Elasticsearch:

+  -  &&  | |  !  ( )  { }  [ ]  ^  "  ~  *  ?  :  \  /

For example:

\(1\+1\)\:2

Policy

Policy maps business and operational requirements, process, and workflow to the following settings and objects stored on the Chef Infra Server:

• Roles define server types, such as “web server” or “database server”.
• Environments define process, such as “dev”, “staging”, or “production”.
• Attributes define environment-specific details about a node that are included in a Policyfile.
• Certain types of data—passwords, user account data, and other sensitive items—can be placed in data bags, which are located in a secure sub-area on the Chef Infra Server that can only be accessed by nodes that authenticate to the Chef Infra Server with the correct SSL certificates.
• The cookbooks (and cookbook versions) in which organization-specific configuration policies are maintained.

The Chef management console provides ways for users to manage data bags, environments, roles, cookbooks, clients, and managing tags.

Admin

Organizations, users, and groups can be managed from the Chef management console, including role-based access control for any user and group to any of the objects saved to the Chef Infra Server.

Install Chef Manage

The install subcommand downloads packages from https://packages.chef.io by default. For systems that are not behind a firewall (and have connectivity to https://packages.chef.io), these packages can be installed as described below.

1. Install add-ons

   Install Chef Manage with:

   sudo chef-server-ctl install chef-manage
   

2. Reconfigure the server

   sudo chef-server-ctl reconfigure
   

3. Reconfigure add-ons

   Reconfigure Chef Manage with:

   sudo chef-manage-ctl reconfigure
   

Finally, accept the Chef License:

sudo chef-manage-ctl reconfigure --accept-license

Chef Manage Local Installation

Use the install subcommand with the --path option to install the Chef Manage (chef-manage) add-on for Chef Infra Server.

sudo chef-server-ctl install PACKAGE_NAME --path /path/to/package/directory

For example:

sudo chef-server-ctl install chef-manage --path /root/packages

The chef-server-ctl command will install the first chef-manage package found in the /root/packages directory.