I recently started a quest to complete CKAD in the next few months, by May 2022. As I’ve explained in that previous essay, “I have spent quite some €€€ enrolling in it and I feel that it can still teach me a lot of relevant concepts about Kubernetes that will be useful” on my day-to-day.
While studying for CKAD, through Kubernetes Certified Application Developer (CKAD) with Tests, I’ve come to realize the importance of understanding the syntax of manifests in Kubernetes. Subconsciously, I obviously already knew this - the same way I know how important it is to dominate the syntax of a given programming language - but it is too easy to fall into a pattern of copy-pasting-and-changing, or simply filling in the gaps in already existing manifests.
Manifests in Kubernetes are the baseline of describing and defining resources, that we can then create and edit afterwards. Manifests represent the object specification describing “its desired state, as well as some basic information about the object (such as a name).” 1 These manifests are most often described in .yaml
files.
In essence, there are four essential fields in Kubernetes manifests that must be present in all manifests. These are: apiVersion
, kind
, metadata
and spec
. Each of these might have widely varying values populating them.
As an example, a starting point for a Kubernetes manifest would be:
apiVersion:
kind:
metadata:
spec:
apiVersion
apiVersion
allows us to define what version of the API a given resource is going to be using. It can be simply v1
, which means it will be part of the core API specified at /api/v1
. It can also be <name>/<version>
, for example batch/v1
, specifying that at resource uses an API that is under /api/<name>
. 2
We can find more about what APIs and versions exist on a given cluster by executing kubectl api-version
:
$ kubectl api-versions
admissionregistration.k8s.io/v1
admissionregistration.k8s.io/v1beta1
apiextensions.k8s.io/v1
apiextensions.k8s.io/v1beta1
apiregistration.k8s.io/v1
apiregistration.k8s.io/v1beta1
apps/v1
authentication.k8s.io/v1
authentication.k8s.io/v1beta1
(...)
Results will differ from cluster to cluster, and between Kubernetes versions. We can have custom APIs, disabled APIs, or recent APIs could’ve been implemented in different Kubernetes versions.
ReplicationController
and ReplicaSet
are two popular objects that clarify this and differ in the apiVersion
. ReplicaController
is a component of the core API in v1
so we would write apiVersion: v1
in its spec. ReplicaSet
, which evolved from ReplicaController
, is a component of a more recent API served at apps/v1
. This sort of versioning is incredibly powerful and flexible, allowing Kubernetes to evolve while keeping a lot of backwards compatibility.
kind
kind
represents the kind of object that is specified via a manifest. Each kind of resource will be available on a particular API. This makes it essential that the specified kind
and apiVersion
match on a specific manifest.
We can inspect which kind
we can use for objects by executing kubectl api-resources
:
kubectl api-resources
NAME SHORTNAMES APIVERSION NAMESPACED KIND
bindings v1 true Binding
componentstatuses cs v1 false ComponentStatus
configmaps cm v1 true ConfigMap
apiservices apiregistration.k8s.io/v1 false APIService
controllerrevisions apps/v1 true ControllerRevision
daemonsets ds apps/v1 true DaemonSet
deployments deploy apps/v1 true Deployment
replicasets rs apps/v1 true ReplicaSet
statefulsets sts apps/v1 true StatefulSet
(...)
With kubectl api-resources
we can quickly see as well which apiVersion
needs to be specified in order to specify a particular resource.
metadata
metadata
describes information of an object that allows for the unique identification of that object. When creating a manifest, this field should have at least an associated name. Usually we will also see a field named labels
.
spec
spec
defines the desired state of the object in Kubernetes. It will vary widely between different resources and API versions, which means that it can be tricky to figure out - or memorize - all the needed fields.
I’ve found that there’s one instance of a resource that can be created without a spec
field which is namespaces. If we create a namespace with only apiVersion
, kind
and metadata
, creating the namespace with kubectl create
, Kubernetes will accept that manifest but it will create the namespace internally with an appropriate spec
. As an example:
apiVersion: v1
kind: Namespace
metadata:
name: my-namespace
Running kubectl create
results in:
$ kubectl create -f my-namespace.yaml
namespace/my-namespace created
Executing kubectl get
will allows us to see the injected spec
field:
$ kubectl ns my-namespace -o yaml
apiVersion: v1
kind: Namespace
metadata:
name: my-namespace
(...)
selfLink: /api/v1/namespaces/test
uid: f1b901a6-31d6-457a-aaaf-0cb6d600d52c
spec:
finalizers:
- kubernetes
status:
phase: Active
All of this information can be confirmed in Kubernetes' own documentation by reading Required Fields. Although this isn’t a deep exploration of manifests, having solid bases can be extremely important to understand what has been built on top of this. Reasoning about this structure also provides a glimpse at the baseline that provides so much flexibility to Kubernetes, allowing it to have 50+ components out-of-the-box and a lot of extensibility via custom resources.
Top comments (0)