$ oc get events -n openshift-compliance
This section describes how to troubleshoot the Compliance Operator. The information can be useful either to diagnose a problem or provide information in a bug report. Some general tips:
The Compliance Operator emits Kubernetes events when something important happens. You can either view all events in the cluster using the command:
$ oc get events -n openshift-compliance
Or view events for an object like a scan using the command:
$ oc describe -n openshift-compliance compliancescan/cis-compliance
The Compliance Operator consists of several controllers, approximately one per API object. It could be useful to filter only those controllers that correspond to the API object having issues. If a ComplianceRemediation
cannot be applied, view the messages from the remediationctrl
controller. You can filter the messages from a single controller by parsing with jq
:
$ oc -n openshift-compliance logs compliance-operator-775d7bddbd-gj58f \
| jq -c 'select(.logger == "profilebundlectrl")'
The timestamps are logged as seconds since UNIX epoch in UTC. To convert them to a human-readable date, use date -d @timestamp --utc
, for example:
$ date -d @1596184628.955853 --utc
Many custom resources, most importantly ComplianceSuite
and ScanSetting
, allow the debug
option to be set. Enabling this option increases verbosity of the OpenSCAP scanner pods, as well as some other helper pods.
If a single rule is passing or failing unexpectedly, it could be helpful to run a single scan or a suite with only that rule to find the rule ID from the corresponding ComplianceCheckResult
object and use it as the rule
attribute value in a Scan
CR. Then, together with the debug
option enabled, the scanner
container logs in the scanner pod would show the raw OpenSCAP logs.
The following sections outline the components and stages of Compliance Operator scans.
The compliance content is stored in Profile
objects that are generated from a ProfileBundle
object. The Compliance Operator creates a ProfileBundle
object for the cluster and another for the cluster nodes.
$ oc get -n openshift-compliance profilebundle.compliance
$ oc get -n openshift-compliance profile.compliance
The ProfileBundle
objects are processed by deployments labeled with the Bundle
name. To troubleshoot an issue with the Bundle
, you can find the deployment and view logs of the pods in a deployment:
$ oc logs -n openshift-compliance -lprofile-bundle=ocp4 -c profileparser
$ oc get -n openshift-compliance deployments,pods -lprofile-bundle=ocp4
$ oc logs -n openshift-compliance pods/<pod-name>
$ oc describe -n openshift-compliance pod/<pod-name> -c profileparser
With valid compliance content sources, the high-level ScanSetting
and ScanSettingBinding
objects can be used to generate ComplianceSuite
and ComplianceScan
objects:
apiVersion: compliance.openshift.io/v1alpha1
kind: ScanSetting
metadata:
name: my-companys-constraints
debug: true
# For each role, a separate scan will be created pointing
# to a node-role specified in roles
roles:
- worker
---
apiVersion: compliance.openshift.io/v1alpha1
kind: ScanSettingBinding
metadata:
name: my-companys-compliance-requirements
profiles:
# Node checks
- name: rhcos4-e8
kind: Profile
apiGroup: compliance.openshift.io/v1alpha1
# Cluster checks
- name: ocp4-e8
kind: Profile
apiGroup: compliance.openshift.io/v1alpha1
settingsRef:
name: my-companys-constraints
kind: ScanSetting
apiGroup: compliance.openshift.io/v1alpha1
Both ScanSetting
and ScanSettingBinding
objects are handled by the same controller tagged with logger=scansettingbindingctrl
. These objects have no status. Any issues are communicated in form of events:
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuiteCreated 9m52s scansettingbindingctrl ComplianceSuite openshift-compliance/my-companys-compliance-requirements created
Now a ComplianceSuite
object is created. The flow continues to reconcile the newly created ComplianceSuite
.
The ComplianceSuite
CR is a wrapper around ComplianceScan
CRs. The ComplianceSuite
CR is handled by controller tagged with logger=suitectrl
.
This controller handles creating scans from a suite, reconciling and aggregating individual Scan statuses into a single Suite status. If a suite is set to execute periodically, the suitectrl
also handles creating a CronJob
CR that re-runs the scans in the suite after the initial run is done:
$ oc get cronjobs
NAME SCHEDULE SUSPEND ACTIVE LAST SCHEDULE AGE
<cron_name> 0 1 * * * False 0 <none> 151m
For the most important issues, events are emitted. View them with oc describe compliancesuites/<name>
. The Suite
objects also have a Status
subresource that is updated when any of Scan
objects that belong to this suite update their Status
subresource. After all expected scans are created, control is passed to the scan controller.
The ComplianceScan
CRs are handled by the scanctrl
controller. This is also where the actual scans happen and the scan results are created. Each scan goes through several phases:
The scan is validated for correctness in this phase. If some parameters like storage size are invalid, the scan transitions to DONE with ERROR result, otherwise proceeds to the Launching phase.
In this phase, several config maps that contain either environment for the scanner pods or directly the script that the scanner pods will be evaluating. List the config maps:
$ oc -n openshift-compliance get cm \
-l compliance.openshift.io/scan-name=rhcos4-e8-worker,complianceoperator.openshift.io/scan-script=
These config maps will be used by the scanner pods. If you ever needed to modify the scanner behavior, change the scanner debug level or print the raw results, modifying the config maps is the way to go. Afterwards, a persistent volume claim is created per scan to store the raw ARF results:
$ oc get pvc -n openshift-compliance -lcompliance.openshift.io/scan-name=rhcos4-e8-worker
The PVCs are mounted by a per-scan ResultServer
deployment. A ResultServer
is a simple HTTP server where the individual scanner pods upload the full ARF results to. Each server can run on a different node. The full ARF results might be very large and you cannot presume that it would be possible to create a volume that could be mounted from multiple nodes at the same time. After the scan is finished, the ResultServer
deployment is scaled down. The PVC with the raw results can be mounted from another custom pod and the results can be fetched or inspected. The traffic between the scanner pods and the ResultServer
is protected by mutual TLS protocols.
Finally, the scanner pods are launched in this phase; one scanner pod for a Platform
scan instance and one scanner pod per matching node for a node
scan instance. The per-node pods are labeled with the node name. Each pod is always labeled with the ComplianceScan
name:
$ oc get pods -lcompliance.openshift.io/scan-name=rhcos4-e8-worker,workload=scanner --show-labels
NAME READY STATUS RESTARTS AGE LABELS
rhcos4-e8-worker-ip-10-0-169-90.eu-north-1.compute.internal-pod 0/2 Completed 0 39m compliance.openshift.io/scan-name=rhcos4-e8-worker,targetNode=ip-10-0-169-90.eu-north-1.compute.internal,workload=scanner
+ The scan then proceeds to the Running phase.
The running phase waits until the scanner pods finish. The following terms and processes are in use in the running phase:
init container: There is one init container called content-container
. It runs the contentImage container and executes a single command that copies the contentFile to the /content
directory shared with the other containers in this pod.
scanner: This container runs the scan. For node scans, the container mounts the node filesystem as /host
and mounts the content delivered by the init container. The container also mounts the entrypoint
ConfigMap
created in the Launching phase and executes it. The default script in the entrypoint ConfigMap
executes OpenSCAP and stores the result files in the /results
directory shared between the pod’s containers. Logs from this pod can be viewed to determine what the OpenSCAP scanner checked. More verbose output can be viewed with the debug
flag.
logcollector: The logcollector container waits until the scanner container finishes. Then, it uploads the full ARF results to the ResultServer
and separately uploads the XCCDF results along with scan result and OpenSCAP result code as a ConfigMap.
These result config maps are labeled with the scan name (compliance.openshift.io/scan-name=rhcos4-e8-worker
):
$ oc describe cm/rhcos4-e8-worker-ip-10-0-169-90.eu-north-1.compute.internal-pod
Name: rhcos4-e8-worker-ip-10-0-169-90.eu-north-1.compute.internal-pod
Namespace: openshift-compliance
Labels: compliance.openshift.io/scan-name-scan=rhcos4-e8-worker
complianceoperator.openshift.io/scan-result=
Annotations: compliance-remediations/processed:
compliance.openshift.io/scan-error-msg:
compliance.openshift.io/scan-result: NON-COMPLIANT
OpenSCAP-scan-result/node: ip-10-0-169-90.eu-north-1.compute.internal
Data
====
exit-code:
----
2
results:
----
<?xml version="1.0" encoding="UTF-8"?>
...
Scanner pods for Platform
scans are similar, except:
There is one extra init container called api-resource-collector
that reads the OpenSCAP content provided by the content-container init, container, figures out which API resources the content needs to examine and stores those API resources to a shared directory where the scanner
container would read them from.
The scanner
container does not need to mount the host file system.
When the scanner pods are done, the scans move on to the Aggregating phase.
In the aggregating phase, the scan controller spawns yet another pod called the aggregator pod. Its purpose it to take the result ConfigMap
objects, read the results and for each check result create the corresponding Kubernetes object. If the check failure can be automatically remediated, a ComplianceRemediation
object is created. To provide human-readable metadata for the checks and remediations, the aggregator pod also mounts the OpenSCAP content using an init container.
When a config map is processed by an aggregator pod, it is labeled the compliance-remediations/processed
label. The result of this phase are ComplianceCheckResult
objects:
$ oc get compliancecheckresults -lcompliance.openshift.io/scan-name=rhcos4-e8-worker
NAME STATUS SEVERITY
rhcos4-e8-worker-accounts-no-uid-except-zero PASS high
rhcos4-e8-worker-audit-rules-dac-modification-chmod FAIL medium
and ComplianceRemediation
objects:
$ oc get complianceremediations -lcompliance.openshift.io/scan-name=rhcos4-e8-worker
NAME STATE
rhcos4-e8-worker-audit-rules-dac-modification-chmod NotApplied
rhcos4-e8-worker-audit-rules-dac-modification-chown NotApplied
rhcos4-e8-worker-audit-rules-execution-chcon NotApplied
rhcos4-e8-worker-audit-rules-execution-restorecon NotApplied
rhcos4-e8-worker-audit-rules-execution-semanage NotApplied
rhcos4-e8-worker-audit-rules-execution-setfiles NotApplied
After these CRs are created, the aggregator pod exits and the scan moves on to the Done phase.
In the final scan phase, the scan resources are cleaned up if needed and the ResultServer
deployment is either scaled down (if the scan was one-time) or deleted if the scan is continuous; the next scan instance would then recreate the deployment again.
It is also possible to trigger a re-run of a scan in the Done phase by annotating it:
$ oc -n openshift-compliance \
annotate compliancescans/rhcos4-e8-worker compliance.openshift.io/rescan=
After the scan reaches the Done phase, nothing else happens on its own unless the remediations are set to be applied automatically with autoApplyRemediations: true
. The OKD administrator would now review the remediations and apply them as needed. If the remediations are set to be applied automatically, the ComplianceSuite
controller takes over in the Done phase, pauses the machine config pool to which the scan maps to and applies all the remediations in one go. If a remediation is applied, the ComplianceRemediation
controller takes over.
The example scan has reported some findings. One of the remediations can be enabled by toggling its apply
attribute to true
:
$ oc patch complianceremediations/rhcos4-e8-worker-audit-rules-dac-modification-chmod --patch '{"spec":{"apply":true}}' --type=merge
The ComplianceRemediation
controller (logger=remediationctrl
) reconciles the modified object. The result of the reconciliation is change of status of the remediation object that is reconciled, but also a change of the rendered per-suite MachineConfig
object that contains all the applied remediations.
The MachineConfig
object always begins with 75-
and is named after the scan and the suite:
$ oc get mc | grep 75-
75-rhcos4-e8-worker-my-companys-compliance-requirements 3.2.0 2m46s
The remediations the mc
currently consists of are listed in the machine config’s annotations:
$ oc describe mc/75-rhcos4-e8-worker-my-companys-compliance-requirements
Name: 75-rhcos4-e8-worker-my-companys-compliance-requirements
Labels: machineconfiguration.openshift.io/role=worker
Annotations: remediation/rhcos4-e8-worker-audit-rules-dac-modification-chmod:
The ComplianceRemediation
controller’s algorithm works like this:
All currently applied remediations are read into an initial remediation set.
If the reconciled remediation is supposed to be applied, it is added to the set.
A MachineConfig
object is rendered from the set and annotated with names of remediations in the set. If the set is empty (the last remediation was unapplied), the rendered MachineConfig
object is removed.
If and only if the rendered machine config is different from the one already applied in the cluster, the applied MC is updated (or created, or deleted).
Creating or modifying a MachineConfig
object triggers a reboot of nodes that match the machineconfiguration.openshift.io/role
label - see the Machine Config Operator documentation for more details.
The remediation loop ends once the rendered machine config is updated, if needed, and the reconciled remediation object status is updated. In our case, applying the remediation would trigger a reboot. After the reboot, annotate the scan to re-run it:
$ oc -n openshift-compliance \
annotate compliancescans/rhcos4-e8-worker compliance.openshift.io/rescan=
The scan will run and finish. Check for the remediation to pass:
$ oc -n openshift-compliance \
get compliancecheckresults/rhcos4-e8-worker-audit-rules-dac-modification-chmod
NAME STATUS SEVERITY
rhcos4-e8-worker-audit-rules-dac-modification-chmod PASS medium
Each pod that is spawned by the Compliance Operator is labeled specifically with the scan it belongs to and the work it does. The scan identifier is labeled with the compliance.openshift.io/scan-name
label. The workload identifier is labeled with the workload
label.
The Compliance Operator schedules the following workloads:
scanner: Performs the compliance scan.
resultserver: Stores the raw results for the compliance scan.
aggregator: Aggregates the results, detects inconsistencies and outputs result objects (checkresults and remediations).
suitererunner: Will tag a suite to be re-run (when a schedule is set).
profileparser: Parses a datastream and creates the appropriate profiles, rules and variables.
When debugging and logs are required for a certain workload, run:
$ oc logs -l workload=<workload_name> -c <container_name>
In some cases, the Compliance Operator might require more memory than the default limits allow. The best way to mitigate this issue is to set custom resource limits.
To increase the default memory and CPU limits of scanner pods, see `ScanSetting` Custom resource.
To increase the Operator’s memory limits to 500 Mi, create the following patch file named co-memlimit-patch.yaml
:
spec:
config:
resources:
limits:
memory: 500Mi
Apply the patch file:
$ oc patch sub compliance-operator -nopenshift-compliance --patch-file co-memlimit-patch.yaml --type=merge
The resources
field defines Resource Constraints for all the containers in the Pod created by the Operator Lifecycle Manager (OLM).
Resource Constraints applied in this process overwrites the existing resource constraints. |
Inject a request of 0.25 cpu and 64 Mi of memory, and a limit of 0.5 cpu and 128 Mi of memory in each container by editing the Subscription
object:
kind: Subscription
metadata:
name: custom-operator
spec:
package: etcd
channel: alpha
config:
resources:
requests:
memory: "64Mi"
cpu: "250m"
limits:
memory: "128Mi"
cpu: "500m"
The ScanSetting
object has a timeout option that can be specified in the ComplianceScanSetting
object as a duration string, such as 1h30m
. If the scan does not finish within the specified timeout, the scan reattempts until the maxRetryOnTimeout
limit is reached.
To set a timeout
and maxRetryOnTimeout
in ScanSetting, modify an existing ScanSetting
object:
apiVersion: compliance.openshift.io/v1alpha1
kind: ScanSetting
metadata:
name: default
namespace: openshift-compliance
rawResultStorage:
rotation: 3
size: 1Gi
roles:
- worker
- master
scanTolerations:
- effect: NoSchedule
key: node-role.kubernetes.io/master
operator: Exists
schedule: '0 1 * * *'
timeout: '10m0s' (1)
maxRetryOnTimeout: 3 (2)
1 | The timeout variable is defined as a duration string, such as 1h30m . The default value is 30m . To disable the timeout, set the value to 0s . |
2 | The maxRetryOnTimeout variable defines how many times a retry is attempted. The default value is 3 . |
If you experience difficulty with a procedure described in this documentation, or with OKD in general, visit the Red Hat Customer Portal. From the Customer Portal, you can:
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Submit a support case to Red Hat Support.
Access other product documentation.
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