KEP-859: Kubectl Commands In Headers
KEP-859: kubectl commands in headers
- Release Signoff Checklist
- Summary
- Motivation
- Proposal
- Design Details
- Production Readiness Review Questionnaire
- Implementation History
- Alternatives
Release Signoff Checklist
Items marked with (R) are required prior to targeting to a milestone / release.
- (R) Enhancement issue in release milestone, which links to KEP dir in kubernetes/enhancements (not the initial KEP PR)
- (R) KEP approvers have approved the KEP status as
implementable - (R) Design details are appropriately documented
- (R) Test plan is in place, giving consideration to SIG Architecture and SIG Testing input (including test refactors)
- e2e Tests for all Beta API Operations (endpoints)
- (R) Ensure GA e2e tests meet requirements for Conformance Tests
- (R) Minimum Two Week Window for GA e2e tests to prove flake free
- (R) Graduation criteria is in place
- (R) all GA Endpoints must be hit by Conformance Tests within one minor version of promotion to GA
- (R) Production readiness review completed
- (R) Production readiness review approved
- “Implementation History” section is up-to-date for milestone
- User-facing documentation has been created in kubernetes/website , for publication to kubernetes.io
- Supporting documentation—e.g., additional design documents, links to mailing list discussions/SIG meetings, relevant PRs/issues, release notes
Summary
Requests sent to the kube-apiserver from kubectl already include a User-Agent header with information about the kubectl build. This KEP proposes sending http request headers with additional context about the kubectl command that created the request. This information may be used by operators of clusters for debugging or to gather telemetry about how users are interacting with the cluster.
Motivation
Kubectl generates requests sent to the apiserver for commands such as apply, delete, edit, run, however
the context of the command for the requests is lost and unavailable to cluster administrators. Context would be
useful to cluster admins both for debugging the cause of requests as well as providing telemetry about how users
are interacting with the cluster, which could be used for various purposes.
Goals
- Allow cluster administrators to identify how requests in the logs were generated from kubectl commands.
Possible applications of this information may include but are not limited to:
- Organizations could learn how users are interacting will their clusters to inform what internal tools they build and invest in or what gaps they may need to fill.
- Organizations could identify if users are running deprecated commands that will be removed
when the version of kubectl is upgraded. They could do this before upgrading kubectl.
- SIG-CLI could build tools that cluster admins run and perform this analysis to them to help with understanding whether they will be impacted by command deprecation
- Organizations could identify if users are running kubectl commands that are inconsistent with the organization’s internal best practices and recommendations.
- Organizations could voluntarily choose to bring back high-level learnings to SIG-CLI regarding which and how commands are used. This could be used by the SIG to inform where to invest resources and whether to deprecate functionality that has proven costly to maintain.
- Cluster admins debugging odd behavior caused by users running kubectl may more easily root cause issues (e.g. knowing what commands were being run could make identifying miss-behaving scripts easier)
- Organizations could build dashboards visualizing which kubectl commands where being run against clusters and when. This could be used to identify broader usage patterns within the organization.
Non-Goals
The following are not goals of this KEP, but could be considered in the future.
- Supply Headers for requests made by kubectl plugins. Enforcing this would not be trivial.
- Send Headers to the apiserver for kubectl command invocations that don’t make requests -
e.g.
--dry-run
Anti-Goals
The following should be actively discouraged.
- Make decisions of any sort in the apiserver based on these headers.
- This information is intended to be used by humans for the purposes of developing a better understanding of kubectl usage with their clusters, such as for debugging and telemetry.
Proposal
Include in http requests made from kubectl to the apiserver:
- the kubectl subcommand
- which flags were specified as well as whitelisted enum values for flags (never arbitrary values)
- a generated session id
- never include the flag values directly, only use a predefined enumeration
- never include arguments to the commands, only the sub commands themselves
- if the command is deprecated, add a header including when which release it will be removed in (if known)
- allow users and organizations that compile their own kubectl binaries to define a build metadata header
Kubectl-Command Header
The Kubectl-Command Header contains the kubectl sub command.
It contains the path to the subcommand (e.g. create secret tls) to disambiguate sub commands
that might have the same name and different paths.
Examples:
Kubectl-Command: kubectl applyKubectl-Command: kubectl create secret tlsKubectl-Command: kubectl deleteKubectl-Command: kubectl get
Kubectl-Session Header
The Kubectl-Session Header contains a Session ID that can be used to identify that multiple
requests which were made from the same kubectl command invocation. The Session Header is generated
once and used for all requests for each kubectl process.
Kubectl-Session: 67b540bf-d219-4868-abd8-b08c77fefeca
Example
$ kubectl apply -f - -o yaml
Kubectl-Command: apply
Kubectl-Session: 67b540bf-d219-4868-abd8-b08c77fefeca
$ kubectl apply -f ./local/file -o=custom-columns=NAME:.metadata.name
Kubectl-Command: apply
Kubectl-Session: 0087f200-3079-458e-ae9a-b35305fb7432
kubectl patch pod valid-pod --type='json' -p='[{"op": "replace", "path": "/spec/containers/0/image", "value":"new
image"}]'
Kubectl-Command: patch
Kubectl-Session: 0087f200-3079-458e-ae9a-b35305fb7432
kubectl run nginx --image nginx
Kubectl-Command: run
Kubectl-Session: 0087f200-3079-458e-ae9a-b35305fb7432
Risks and Mitigations
Unintentionally including sensitive information in the request headers - such as local directory paths or cluster names. This won’t be a problem as the command arguments and flag values are never directly included.
Design Details
Test Plan
[x] I/we understand the owners of the involved components may require updates to existing tests to make this code solid enough prior to committing the changes necessary to implement this enhancement.
Unit tests
k8s.io/cli-runtime/pkg/genericclioptions:2025-10-08-22.9%k8s.io/kubectl/pkg/cmd/:2025-10-08-61.8%
Integration tests
None are necessary, the entire functionality can be tested with unit tests.
e2e tests
None are necessary, the entire functionality can be tested with unit tests.
Graduation Criteria
Alpha
- Initial implementation behind
KUBECTL_COMMAND_HEADERSenvironment variable.
Beta
- Change feature gate from default off to default on
- Documentation in kubectl section of kubernetes.io describes the extra headers sent and how to disable these headers if necessary.
- kubectl headers remove the
X-prefix to align with IETF guidance . Example:X-Kubectl-Commandheader is changed toKubectl-Command. - All other issues raised during alpha use of feature are resolved.
- Completion of the test plan
GA
- Address feedback.
Upgrade / Downgrade Strategy
Not applicable. There are no cluster components affected by this feature.
Version Skew Strategy
Not applicable. There is nothing required of the API Server, so there can be no version skew.
Production Readiness Review Questionnaire
Feature Enablement and Rollback
How can this feature be enabled / disabled in a live cluster?
Feature gate (also fill in values in
kep.yaml)- Feature gate name:
- Components depending on the feature gate:
Other
- Describe the mechanism: The environment variable
KUBECTL_COMMAND_HEADERS=true. - Will enabling / disabling the feature require downtime of the control plane?
- Will enabling / disabling the feature require downtime of the control plane? No.
- Will enabling / disabling the feature require downtime or reprovisioning of a node? No.
- Describe the mechanism: The environment variable
Does enabling the feature change any default behavior?
No. This feature is not user facing, so it does not change behavior.
Can the feature be disabled once it has been enabled (i.e. can we roll back the enablement)?
Yes. This feature can be disabled by simply setting the KUBECTL_COMMAND_HEADERS
environment variable to false on the command line.
What happens if we reenable the feature if it was previously rolled back?
Re-enabling this feature is simply accomplished by removing the feature environment variable on the client command line. There is no state, and there is no consequence for re-enabling the feature.
Are there any tests for feature enablement/disablement?
Yes, there is a unit test
,
exercising the KUBECTL_COMMAND_HEADERS environment variable.
Rollout, Upgrade and Rollback Planning
How can a rollout or rollback fail? Can it impact already running workloads?
A danger in the rollout of this feature is adding too much data (too many headers) to each of the API Server calls. We intend to mitigate this risk by defining a MAX_HEADERS concept to ensure the headers to not grow above a certain size. MAX_HEADERS will provide a mechanism to ensure the headers data does not grow without bound. As far as cluster workloads, this feature only affects kubectl; not any cluster components. So it would not be possible to impact running workloads.
What specific metrics should inform a rollback?
We will measure the headers-added-round-trip-time and compare it to the round-trip time for the same API Server call without headers. This ratio will give us the performance penalty for adding these headers. If this performance penalty exceeds a specific threshold, users can opt-out by removing the client-side command line feature environment variable to disable the headers.
Were upgrade and rollback tested? Was the upgrade->downgrade->upgrade path tested?
This feature is completely within the client. The upgrades and rollback of cluster will not be affected by this change.
Is the rollout accompanied by any deprecations and/or removals of features, APIs, fields of API types, flags, etc.?
No.
Monitoring Requirements
How can an operator determine if the feature is in use by workloads?
Not applicable.
How can someone using this feature know that it is working for their instance?
- Events
- Event Reason:
- API .status
- Condition name:
- Other field:
- Other (treat as last resort)
- Details: One can verify headers being sent to the cluster on the wire.
What are the reasonable SLOs (Service Level Objectives) for the enhancement?
Not applicable.
What are the SLIs (Service Level Indicators) an operator can use to determine the health of the service?
Not applicable.
Are there any missing metrics that would be useful to have to improve observability of this feature?
Not applicable.
Dependencies
Does this feature depend on any specific services running in the cluster?
No.
Scalability
Will enabling / using this feature result in any new API calls?
No.
Will enabling / using this feature result in introducing new API types?
No.
Will enabling / using this feature result in any new calls to the cloud provider?
No.
Will enabling / using this feature result in increasing time taken by any operations covered by existing SLIs/SLOs?
Negligible. This feature increases the size of the REST call from kubectl to the API Server by adding more headers to the calls. Constraining the size of the added headers through MAX_HEADERS will reduce the risk of any performance degradation. We will monitor this request size increase to ensure there is no deleterious effect.
Will enabling / using this feature result in non-negligible increase of resource usage (CPU, RAM, disk, IO, …) in any components?
Negligible. This feature increases the size of the REST call from kubectl to the API Server by adding more headers to the calls. Constraining the size of the added headers through MAX_HEADERS will reduce the risk of any performance degradation. We will monitor this request size increase to ensure there is no deleterious effect.
Can enabling / using this feature result in resource exhaustion of some node resources (PIDs, sockets, inodes, etc.)?
No.
Troubleshooting
How does this feature react if the API server and/or etcd is unavailable?
kubectl is not resilient to API server unavailability.
What are other known failure modes?
Not applicable.
What steps should be taken if SLOs are not being met to determine the problem?
Not applicable.
Implementation History
2019-02-22: Initial version of this document. 2021-02-10: (Alpha) Kubectl command headers in requests: KEP 859 . 2021-05-13: Beta promotion of this KEP. 2021-06-27: kubectl command headers as default in beta . 2025-10-08: Stable promotion.
Alternatives
Alternatives would be to use a wrapper around kubectl to inject additional headers.