| .. | ||
| README.md | ||
CLI Documentation
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 desirable 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.
Warning: In Progress
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
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 re-use these best practices when managing Fleet configurations.
fleetctl - The CLI
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 documentation 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 applyto 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.
Help Output
$ 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
Workflow
# 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
Configuration File Format
A Fleet configuration is defined using one or more declarative "messages" in yaml syntax. Each message can live in it's own file or multiple in one file, each separated 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 concatenated together into one file (separated by ---), or they can be in individual files with a directory structure like the following:
|-- config.yml
|-- decorators.yml
|-- labels.yml
|-- packs
| `-- osquery-monitoring.yml
`-- queries.yml
Osquery Configuration Options
The following file describes configuration options passed to the osquery instance. All other configuration data will be over-written by the application of this file.
apiVersion: k8s.kolide.com/v1alpha1
kind: Options
spec:
config:
distributed_interval: 3
distributed_tls_max_attempts: 3
logger_plugin: tls
logger_tls_endpoint: /api/v1/osquery/log
logger_tls_period: 10
overrides:
# Note configs in overrides take precedence over base configs
platforms:
darwin:
disable_tables: chrome_extensions
docker_socket: /var/run/docker.sock
logger_tls_period: 60
fim:
interval: 500
groups:
- name: etc
paths:
- /etc/%%
- name: users
paths:
- /Users/%/Library/%%
- /Users/%/Documents/%%
linux:
schedule_timeout: 60
docker_socket: /etc/run/docker.sock
Osquery Logging Decorators
The following file describes logging decorators that should be applied on osquery instances. A decorator should reference an osquery query by name. Both of these resources can be included in the same file as such:
---
apiVersion: k8s.kolide.com/v1/alpha1
kind: Query
spec:
name: hostname
query: select hostname from system_info
---
apiVersion: k8s.kolide.com/v1alpha1
kind: Decorator
spec:
query: hostname
type: interval
interval: 10
Host Labels
The following file describes the labels which hosts should be automatically grouped into. The label resource should reference the query by name. Both of these resources can be included in the same file as such:
---
apiVersion: k8s.kolide.com/v1/alpha1
kind: Query
spec:
name: slack_not_running
query: >
SELECT * from system_info
WHERE NOT EXISTS (
SELECT *
FROM processes
WHERE name LIKE "%Slack%"
);
---
apiVersion: k8s.kolide.com/v1alpha1
kind: Label
spec:
name: slack_not_running
query: slack_not_running
Osquery Queries
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: Query
spec:
name: docker_processes
descriptions: The docker containers processes that are running on a system.
query: select * from docker_container_processes;
support:
osquery: 2.9.0
platforms:
- linux
- darwin
To define multiple queries in a file, concatenate multiple Query resources together in a single file with ---. For example, consider a file that you might store at queries/osquery_monitoring.yml:
---
apiVersion: k8s.kolide.com/v1alpha1
kind: Query
spec:
name: osquery_version
description: The version of the Launcher and Osquery process
query: select launcher.version, osquery.version from kolide_launcher_info launcher, osquery_info osquery;
support:
launcher: 0.3.0
osquery: 2.9.0
---
apiVersion: k8s.kolide.com/v1alpha1
kind: Query
spec:
name: osquery_schedule
description: Report performance stats for each file in the query 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;
---
apiVersion: k8s.kolide.com/v1alpha1
kind: Query
spec:
name: osquery_info
description: A heartbeat counter that reports general performance (CPU, memory) and version.
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;
---
apiVersion: k8s.kolide.com/v1alpha1
kind: Query
spec:
name: osquery_events
description: Report event publisher health and track event counters.
query: select name, publisher, type, subscriptions, events, active from osquery_events;
Query Packs
To define query packs, 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: Pack
spec:
name: osquery_monitoring
targets:
labels:
- all_hosts
queries:
- query: osquery_version
name: osquery_version_differential
interval: 7200
- query: osquery_version
name: osquery_version_snapshot
interval: 7200
snapshot: true
- query: osquery_schedule
interval: 7200
removed: false
- query: osquery_events
interval: 86400
removed: false
- query: oquery_info
interval: 600
removed: false