Previously, our controllers would automatically create a CredentialIssuer with a singleton name. The helpers we had for this also used "raw" client access and did not take advantage of the informer cache pattern.
With this change, the CredentialIssuer is always created at install time in the ytt YAML. The controllers now only update the existing CredentialIssuer status, and they do so using the informer cache as much as possible.
This change is targeted at only the kubecertagent controller to start. The impersonatorconfig controller will be updated in a following PR along with other changes.
Signed-off-by: Matt Moyer <moyerm@vmware.com>
Followup on the previous comment to split apart the ServiceAccount of the kube-cert-agent and the main concierge pod. This is a bit cleaner and ensures that in testing our main Concierge pod never requires any privileged permissions.
Signed-off-by: Matt Moyer <moyerm@vmware.com>
Since 0dfb3e95c5, we no longer directly create the kube-cert-agent Pod, so our "use"
permission on PodSecurityPolicies no longer has the intended effect. Since the deployments controller is now the
one creating pods for us, we need to get the permission on the PodSpec of the target pod instead, which we do somewhat
simply by using the same service account as the main Concierge pods.
We still set `automountServiceAccountToken: false`, so this should not actually give any useful permissions to the
agent pod when running.
Signed-off-by: Matt Moyer <moyerm@vmware.com>
This controller is responsible for cleaning up kube-cert-agent pods that were deployed by previous versions.
They are easily identified because they use a different `kube-cert-agent.pinniped.dev` label compared to the new agent pods (`true` vs. `v2`).
Signed-off-by: Matt Moyer <moyerm@vmware.com>
This is a relatively large rewrite of much of the kube-cert-agent controllers. Instead of managing raw Pod objects, they now create a single Deployment and let the builtin k8s controller handle it from there.
This reduces the amount of code we need and should handle a number of edge cases better, especially those where a Pod becomes "wedged" and needs to be recreated.
Signed-off-by: Matt Moyer <moyerm@vmware.com>
Also force the LDAP server pod to restart whenever the LDIF file
changes, so whenever you redeploy the tools deployment with a new test
user password the server will be updated.
- The unit tests for upstreamldap.Provider need to mock the LDAP server,
so add an integration test which allows us to get fast feedback for
this code against a real LDAP server.
- Automatically wrap the user search filter in parenthesis if it is not
already wrapped in parens.
- More special handling for using "dn" as the username or UID attribute
name.
- Also added some more comments to types_ldapidentityprovider.go.tmpl
- The ldap_upstream_watcher.go controller validates the bind secret and
uses the Conditions to report errors. Shares some condition reporting
logic with its sibling controller oidc_upstream_watcher.go, to the
extent which is convenient without generics in golang.
- Add some fields to LDAPIdentityProvider that we will need to be able
to search for users during login
- Enhance TestSupervisorLogin to test logging in using an upstream LDAP
identity provider. Part of this new test is skipped for now because
we haven't written the corresponding production code to make it
pass yet.
- Some refactoring and enhancement to env.go and the corresponding env
vars to support the new upstream LDAP provider integration tests.
- Use docker.io/bitnami/openldap for our test LDAP server instead of our
own fork now that they have fixed the bug that we reported.
Signed-off-by: Andrew Keesler <akeesler@vmware.com>
The goal here was to start on an integration test to get us closer to the red
test that we want so we can start working on LDAP.
Signed-off-by: Andrew Keesler <akeesler@vmware.com>
To make an impersonation request, first make a TokenCredentialRequest
to get a certificate. That cert will either be issued by the Kube
API server's CA or by a new CA specific to the impersonator. Either
way, you can then make a request to the impersonator and present
that client cert for auth and the impersonator will accept it and
make the impesonation call on your behalf.
The impersonator http handler now borrows some Kube library code
to handle request processing. This will allow us to more closely
mimic the behavior of a real API server, e.g. the client cert
auth will work exactly like the real API server.
Signed-off-by: Monis Khan <mok@vmware.com>
This is more than an automatic merge. It also includes a rewrite of the CredentialIssuer API impersonation proxy fields using the new structure, and updates to the CLI to account for that new API.
Signed-off-by: Matt Moyer <moyerm@vmware.com>
This change adds a new virtual aggregated API that can be used by
any user to echo back who they are currently authenticated as. This
has general utility to end users and can be used in tests to
validate if authentication was successful.
Signed-off-by: Monis Khan <mok@vmware.com>
- Because the impersonation proxy config controller needs to be able
to delete the load balancer which it created
Signed-off-by: Margo Crawford <margaretc@vmware.com>
- Watch a configmap to read the configuration of the impersonation
proxy and reconcile it.
- Implements "auto" mode by querying the API for control plane nodes.
- WIP: does not create a load balancer or proper TLS certificates yet.
Those will come in future commits.
Signed-off-by: Margo Crawford <margaretc@vmware.com>
As of upgrading to Kubernetes 1.20, our aggregated API server nows runs some
controllers for the two flowcontrol.apiserver.k8s.io resources in the title of
this commit, so it needs RBAC to read them.
This should get rid of the following error messages in our Concierge logs:
Failed to watch *v1beta1.FlowSchema: failed to list *v1beta1.FlowSchema: flowschemas.flowcontrol.apiserver.k8s.io is forbidden: User "system:serviceaccount:concierge:concierge" cannot list resource "flowschemas" in API group "flowcontrol.apiserver.k8s.io" at the cluster scope
Failed to watch *v1beta1.PriorityLevelConfiguration: failed to list *v1beta1.PriorityLevelConfiguration: prioritylevelconfigurations.flowcontrol.apiserver.k8s.io is forbidden: User "system:serviceaccount:concierge:concierge" cannot list resource "prioritylevelconfigurations" in API group "flowcontrol.apiserver.k8s.io" at the cluster scope
Signed-off-by: Andrew Keesler <akeesler@vmware.com>
We have these redirects set up to make the `kubectl apply -f [...]` commands cleaner, but we never went back and fixed up the documentation to use them until now.
Signed-off-by: Matt Moyer <moyerm@vmware.com>
I didn't advertise this feature in the deploy README's since (hopefully) not
many people will want to use it?
Signed-off-by: Andrew Keesler <akeesler@vmware.com>
Previously, when triggering a Tilt reload via a *.go file change, a reload would
take ~13 seconds and we would see this error message in the Tilt logs for each
component.
Live Update failed with unexpected error:
command terminated with exit code 2
Falling back to a full image build + deploy
Now, Tilt should reload images a lot faster (~3 seconds) since we are running
the images as root.
Note! Reloading the Concierge component still takes ~13 seconds because there
are 2 containers running in the Concierge namespace that use the Concierge
image: the main Concierge app and the kube cert agent pod. Tilt can't live
reload both of these at once, so the reload takes longer and we see this error
message.
Will not perform Live Update because:
Error retrieving container info: can only get container info for a single pod; image target image:image/concierge has 2 pods
Falling back to a full image build + deploy
Signed-off-by: Andrew Keesler <akeesler@vmware.com>
