Kolide Fleet provides a server which allows you to manage and orchestrate an osquery deployment across of a set of workstations and servers. For certain use-cases, it makes sense to maintain the configuration and data of an osquery deployment in source-controlled files. It is also desireable to be able to manage these files with a familiar command-line tool. To facilitate this, we are working on an experimental CLI called fleetctl
.
This CLI is largely just a proposal and large sections (if not most) of this do not work. The objective user-experience is documented here so that contributors working on this feature can share documentation with the community to gather feedback.
Inspiration for the fleetctl
command-line experience as well as the file format has been principally derived from the Kubernetes container orchestration tool. This is for a few reasons:
- Format Familiarity: At Kolide, we love Kubernetes and we think it is the future of production infrastructure management. We believe that many of the people that use this interface to manage Fleet will also be Kubernetes operators. By using a familiar command-line interface and file format, the cognitive overhead can be reduced since the operator is already familiar with how these tools work and behave.
- Established Best Practices: Kubernetes deployments can easily become very complex. Because of this, Kubernetes operators have an established set of best practices that they often follow when writing and maintaining config files. Some of these best practices and tips are documented on the official Kubernetes website and some are documented by the community. Since the file format and workflow is so similar, we can make re-use these best practices when managing Fleet configurations as well.
The fleetctl
tool is heavily inspired by the kubectl
tool. If you are familiar with kubectl
, this will all feel very familiar to you. If not, some further explanation would likely be helpful.
Fleet exposes the aspects of an osquery deployment as a set of "objects". Objects may be a query, a pack, a set of configuration options, etc. The documentaiton for Declarative Management of Kubernetes Objects Using Configuration Files says the following about the object lifecycle:
Objects can be created, updated, and deleted by storing multiple object configuration files in a directory and using
kubectl apply
to recursively create and update those objects as needed.
Similarly, Fleet objects can be created, updated, and deleted by storing multiple object configuration files in a directory and using fleetctl apply
to recursively create and update those objects as needed.
$ fleetctl --help
fleetctl controls an instance of the Kolide Fleet osquery fleet manager.
Find more information at https://kolide.com/fleet
Usage:
fleetctl [command] [flags]
Commands:
fleetctl query - run a query across your fleet
fleetctl apply - apply a set of osquery configurations
fleetctl edit - edit your complete configuration in an ephemeral editor
fleetctl config - modify how and which Fleet server to connect to
fleetctl help - get help on how to define an intent type
fleetctl version - print full version information
# Make sure you're currently using the current server (in this case: staging)
fleetctl config set-context staging
# Edit the config file (or files) for your Fleet instance (or one of them) and apply the file
vim fleet-staging.yml
fleetctl apply -f ./fleet-staging.yml
# Commit the changes to an upstream source tree
git add fleet-staging.yml
git commit -m "new changes to staging fleet instance"
git push
Alternatively, you can specify the context as a flag for easy use in parallel scripts or instances where you may have many Fleet environments:
# Edit your Fleet config file
vim fleet.yml
# First apply the configuration to your staging environment for testing
fleetctl apply -f ./fleet.yml --context=staging
# Apply the configuration to both staging and production at the same time
fleetctl apply -f ./fleet.yml --context=staging,production
A Fleet configuration is defined using one or more declarative "messages" using yaml syntax. Each message can live in it's own file or you can miltiple in one file, each seperated by ---
. Each file/message contains a few required top-level keys:
apiVersion
- the API version of the file/requestspec
- the "data" of the requestkind
- the type of file/object (i.e.: pack, query, config)
The file may optionally also include some metadata
for more complex data types (i.e.: packs).
When you reason about how to manage these config files, consider following the General Config Tips published by the Kubernetes project. Some of the especially relevant tips are included here as well:
- When defining configurations, specify the latest stable API version.
- Configuration files should be stored in version control before being pushed to the cluster. This allows quick roll-back of a configuration if needed. It also aids with cluster re-creation and restoration if necessary.
- Group related objects into a single file whenever it makes sense. One file is often easier to manage than several. See the config-single-file.yml file as an example of this syntax.
- Don’t specify default values unnecessarily – simple and minimal configs will reduce errors.
All of these files can be concatonated together into one file (seperated by ---
), or they can be in individual files with a directory structure like the following:
|-- config.yml
|-- decorators.yml
|-- fim.yml
|-- labels.yml
|-- packs
| `-- osquery-monitoring.yml
`-- queries
|-- processes.yml
`-- queries.yml
The following file describes configuration options to pass to the osquery instance. All other configuration data will be over-written by the application of this file.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryOptions
spec:
config:
- distributed_interval: 3
- distributed_tls_max_attempts: 3
- logger_plugin: tls
- logger_tls_endpoint: /api/v1/osquery/log
- logger_tls_period: 10
The following file describes logging decorators that should be applied on osquery instances. All other decorator data will be over-written by the application of this file.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryDecorators
spec:
decorators:
- name: hostname
query: select hostname from system_info;
type: interval
interval: 10
- name: uuid
query: select uuid from osquery_info;
type: load
- name: instance_id
query: select instance_id from osquery_info;
type: load
The following file describes the configuration for osqueryd's file integrity monitoring system. All other FIM configuration will be over-written by the application of this file.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryFIM
spec:
fim:
interval: 500
groups:
- name: etc
paths:
- /etc/%%
- name: users
paths:
- /Users/%/Library/%%
- /Users/%/Documents/%%
The following file describes the labels which hosts should be automatically grouped into. All other label data will be over-written by the application of this file.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryLabels
spec:
labels:
- name: all_hosts
query: select 1;
- name: macs
query: select 1 from os_version where platform = "darwin";
- name: ubuntu
query: select 1 from os_version where platform = "ubuntu";
- name: centos
query: select 1 from os_version where platform = "centos";
- name: windows
query: select 1 from os_version where platform = "windows";
- name: pending_updates
query: SELECT value from plist where path = "/Library/Preferences/ManagedInstalls.plist" and key = "PendingUpdateCount" and value > "0";
platforms:
- darwin
- name: slack_not_running
query: >
SELECT * from system_info
WHERE NOT EXISTS (
SELECT *
FROM processes
WHERE name LIKE "%Slack%"
);
For especially long or complex queries, you may want to define one query in one file. Continued edits and applications to this file will update the query as long as the metadata.name
does not change. If you want to change the name of a query, you must first create a new query with the new name and then delete the query with the old name. Make sure the old query name is not defined in any packs before deleting it or an error will occur.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryQuery
metadata:
- name: processes
spec:
query: select * from processes;
For many cases, however, defining many queries in a single file is sufficient. This syntax is easy to use, but can make some operations like renaming and deleting queries more arduous.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryQueries
spec:
queries:
- name: launcher_version
query: select version from kolide_launcher_info;
- name: osquery_version
query: select version from osquery_info;
- name: osquery_schedule
query: select name, interval, executions, output_size, wall_time, (user_time/executions) as avg_user_time, (system_time/executions) as avg_system_time, average_memory, last_executed from osquery_schedule;
description: Report performance publisher health and track event counters.
- name: osquery_events
query: select name, publisher, type, subscriptions, events, active from osquery_events;
description: Report event publisher health and track event counters.
- name: osquery_info
query: select i.*, p.resident_size, p.user_time, p.system_time, time.minutes as counter from osquery_info i, processes p, time where p.pid = i.pid;
description: A heartbeat counter that reports general performance (CPU, memory) and version.
To define query packs, you reference queries defined elsewhere by name. This is why the "name" of a query is so important. You can define many of these packs in many files.
apiVersion: k8s.kolide.com/v1alpha1
kind: OsqueryPack
metadata:
name: osquery_monitoring
spec:
targets:
labels:
- all_hosts
queries:
- name: osquery_schedule
interval: 7200
removed: false
description: Report performance publisher health and track event counters.
- name: osquery_events
interval: 86400
removed: false
description: Report event publisher health and track event counters.
- name: oquery_info
interval: 600
removed: false
description: A heartbeat counter that reports general performance (CPU, memory) and version.