Kubernetes Configuration Manager - Helm
I am back with another article this time about Helm, The Configuration Management tool for Kubernetes.
Challenge
For example, to deploy the Nginx-alpine application 4 resource manifests were necessary: Namespace, Deployment, Service, and Configmap. However, this suite of manifests represents the deployment to a single environment, e.g sandbox. The application should be propagated through staging and production environment, which reference a separate set of manifests. It is essential to ensure that the application configuration is tailored for each environment, such as allocating more CPU and memory to the application in production since it handles more traffic or has a different number of replicas for each cluster. In this case, an engineering team ends up managing 3 sets of manifests, 1 for each cluster.
However, the number of manifests grows exponentially when the application is distributed across multiple regions. As such, if the application is released in AP(Asia Pacific) and the US, a team ends up managing 9 different sets of manifests.
To Solve the challenge to manage multiple manifests we can take the help of Configuration Management tools like Helm
Helm is a package manager, that manages Kubernetes configuration with Charts. A Helm chart is a collection of YAML files that describe the state of multiple Kubernetes resources. These files can be parametrized using the Go template.
Pre-Configuration:
- Kubernetes Cluster
- Helm
Configure Kubernetes Cluster:
Install Helm on Kubernetes:
Helm Chart
A Helm chart is composed of the following files:
. ├── Chart.yaml ├── templates │ ├── configmap.yaml │ ├── deployment.yaml │ ├── namespace.yaml │ └── service.yaml ├── values-prod.yaml ├── values-staging.yaml └── values.yaml
- Chart.yaml - expose chart details, such as description, version, and dependencies
- templates/ folder - contains templates YAML manifests for Kubernetes resources
- values.yaml - default input configuration file for the chart. If no other values file is supplied, the parameters in this file will be used.
Chart.yaml
A Chart.yaml file contains the apiVersion, description, description, version, and maintainer details.
Let's take this as an example we are going to deploy Nginx deployment on Kubernetes with Helm
apiVersion: v1 name: nginx-deployment description: Install Nginx deployment manifests keywords: - nginx version: 1.0.0 maintainers: - name: siva naik email: sivanaikk0903@gmail.com
- version is the version of the Chart
templates directory
The templates directory contains the templated manifest files of Kubernetes resources. The template files expect the input, we pass inputs with values files
templates/ ├── configmap.yaml ├── deployment.yaml ├── namespace.yaml └── service.yaml
- configmap.yaml is contains the manifest to create a config map
apiVersion: v1 data: {{ .Values.configmap.data }} #version: alpine kind: ConfigMap metadata: name: nginx-version namespace: {{ .Values.namespace.name }}
The values in {{ .. }} syntax are the variables. we have to give the reference of variables present in values.yaml file
The Value for the variable namespace is from the file under the namespace block as the name. These manifests can be templated using Go template. For example, instead of hardcoding the name of the Namespace, it can be parameterized as follows:
namespace: {{ .Values.namespace.name }}
- namespace.yaml
Namespace file contains the manifest for Kubernetes namespace for Nginx.
apiVersion: v1 kind: Namespace metadata: labels: tier: test name: {{ .Values.namespace.name }}
- service.yaml
This file contains the manifest to create a service in Kubernetes
apiVersion: v1 kind: Service metadata: labels: app: nginx tag: alpine name: nginx-alpine namespace: {{ .Values.namespace.name }} spec: ports: - port: {{ .Values.service.port }} protocol: TCP targetPort: {{ .Values.service.port }} selector: app: nginx tag: alpine type: {{ .Values.service.type }}
- deployment.yaml
This file has the manifest to create Nginx deployment
apiVersion: apps/v1 kind: Deployment metadata: labels: app: nginx tag: alpine name: nginx-alpine namespace: {{ .Values.namespace.name }} spec: replicas: {{ .Values.replicaCount }} selector: matchLabels: app: nginx tag: alpine strategy: rollingUpdate: maxSurge: 25% maxUnavailable: 25% type: RollingUpdate template: metadata: labels: app: nginx tag: alpine spec: containers: - image: {{ .Values.image.repository }}:{{ .Values.image.tag }} imagePullPolicy: {{ .Values.image.pullPolicy }} name: nginx-alpine resources: {{ toYaml .Values.resources | indent 12 }}
values.yaml file
The values.yaml file contains default input parameters for a Helm chart. The parameters are consumed by the templated YAML manifests through the .Values object.
We can use multiple values files to pass as arguments based on the environment where we are going to deploy. Let's say sandbox, stagging, and production.
- values.yaml
namespace: name: demo service: port: 8111 type: ClusterIP image: repository: nginx tag: alpine pullPolicy: IfNotPresent replicaCount: 3 resources: requests: cpu: 50m memory: 256Mi configmap: data: "version: alpine"
- values-staging
namespace: name: staging service: port: 8111 type: ClusterIP image: repository: nginx tag: 1.18.0 pullPolicy: IfNotPresent replicaCount: 1 resources: requests: cpu: 50m memory: 128Mi configmap: data: "version: 1.18.0"
- values-prod.yaml
namespace: name: prod service: port: 80 type: ClusterIP image: repository: nginx tag: 1.17.0 pullPolicy: IfNotPresent replicaCount: 2 resources: requests: cpu: 70m memory: 256Mi configmap: data: "version: 1.17.0"
The values files have different values based on the environment in the resource are deployed
Let's Install the Helm chart we created
helm install [name] [ helm chart path ]
- list installed helm charts
helm list
To learn more about Helm :
Nginx Helm Chart - GitHub
Thank you!
Full Stack Developer | DevOps | Ansible | Docker | Aws | Jenkins l Bash Shell Scripting | Angular | Python | Java | Spring Boot
4yGreat 👍
DevOps Engineer at DataGrokr | AWS Community Builder | 1X AWS, 2X Google Cloud & 3X Azure Certified | Cloud Architect | Infrastructure Automation Enthusiast | Docker | Kubernetes | Terraform | Ansible | Jenkins | Gitlab
4yGreat work Siva Naik Kethavath ✨
DevOps Engineer @CDPG, IISc Bangalore | MLOps | DataOps | Founding Engineer
4yLearn more about helm here : https://helm.sh/docs/ Nginx Helm Chart : https://github.com/kethavathsivanaik/nginx-helm