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The Automation Challenge:
Kubernetes Operators vs Helm Charts
Ana-Maria Mihalceanu
@ammbra1508
Hello! I am Ana
Java Champion, Certified Architect
Developer Advocate @ RedHat
“Control” enthusiast
@ammbra1508
”Know well what leads you forward and what holds you
back, and choose the path that leads to wisdom”
@ammbra1508
Buddha
(Some) Kubernetes Features
@ammbra1508
Automated rollouts and rollbacks
Batch execution
Self-healing
Horizontal scaling
Service discovery and Load balancing
Secret and configuration management
Storage orchestration
The Story of a Microservice
@ammbra1508
</>
Application code Docker file
Kubernetes objects
in yaml format
The Story of a Microservice
@ammbra1508
</>
Application code Docker file
Kubernetes objects
in yaml format
The Story of a Microservice
@ammbra1508
</>
Application code Docker file
Kubernetes objects
in yaml format
Kubernetes Package Manager
@ammbra1508
Manage and update multiple
Kubernetes configurations
templates Deploy many configs as a
SINGLE application
Parametrize for multiple
environments support
Helm Show Time
@ammbra1508
Helm Advantages
@ammbra1508
Check
In a template, you can check nested values at every
level
Deploy
Many configurations can be deployed through a single
chart instance.
Separate Non-final values are separated from the actual objects.
Prototype Easily prototype an application installation.
Distinctive Helm Aspects (1)
@ammbra1508
deployment.yaml
Reusability is encouraged via include, _helpers.tpl, tpl
Automatically roll deployments via annotations
_helpers.tpl
Distinctive Helm Aspects (2)
@ammbra1508
deployment.yaml
Automatically roll deployments via annotations
Instruct Helm to keep resources upon uninstall
service.yaml
Next steps
@ammbra1508
WHAT HAPPENS AT THE
MATURITY OF THE SYSTEM?
@ammbra1508
Benefits of using Operators
@ammbra1508
Package human operational knowledge
Clients like kubectl and dashboard automatically work with Operators
The resources created via Operators are secured and use HTTPS
Can be used to create backups or for configuring your cluster
Cloud native tools can be maintained via operators
What’s next?
@ammbra1508
Maintain Maintained the PostgreSQL database via the operator.
Isolate Kept Helm charts for installing the application.
Deploy Followed the deployment instructions.
Decide https://postgres-operator.readthedocs.io/en/latest/
Discover https://operatorhub.io/
Create an Operator
@ammbra1508
KUDO (Kubernetes Universal Declarative Operator)
kubebuilder
Metacontroller along with WebHooks that you implement yourself
Operator Framework
Final view
@ammbra1508
From Helm Charts to
Operators
@ammbra1508
Publish Helm Charts to a Repo
@ammbra1508
$ git checkout gh-pages
$ helm package ticket-store
$ mv ticket-store-0.1.0.tgz docs
$ helm repo index docs --url https://ammbra.github.io/helm-vs-operators
$ git add .
$ git commit –am “published charts”
$ git push origin
Create an Operator from Helm Charts
@ammbra1508
$ helm repo add store https://ammbra.github.io/helm-vs-operators/
$ mkdir operator
$ cd operator
$ operator-sdk init --plugins helm --helm-chart store/ticket-store
$ kubectl apply -f config/samples/charts_v1alpha1_ticketstore.yaml
Takeaways
@ammbra1508
Helm Operators
Have a custom packaging format. Include many complex configuration data
within the package.
You are deploying a stateless application and
are happy with its settings.
Can deploy a stateful application and
maintain it in a completely automatic way.
Great for checking an application
deployment via its release information.
Can deploy an application configured in a
particular way across a cluster to achieve
high availability.
Have annotations that can trigger automatic
deployments.
Useful for operations related to backups or
cluster configuration.
@ammbra1508
Code made available at
https://github.com/ammbra/helm-vs-operators

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The automation challenge Kubernetes operators vs Helm charts

  • 1. The Automation Challenge: Kubernetes Operators vs Helm Charts Ana-Maria Mihalceanu @ammbra1508
  • 2. Hello! I am Ana Java Champion, Certified Architect Developer Advocate @ RedHat “Control” enthusiast @ammbra1508
  • 3. ”Know well what leads you forward and what holds you back, and choose the path that leads to wisdom” @ammbra1508 Buddha
  • 4. (Some) Kubernetes Features @ammbra1508 Automated rollouts and rollbacks Batch execution Self-healing Horizontal scaling Service discovery and Load balancing Secret and configuration management Storage orchestration
  • 5. The Story of a Microservice @ammbra1508 </> Application code Docker file Kubernetes objects in yaml format
  • 6. The Story of a Microservice @ammbra1508 </> Application code Docker file Kubernetes objects in yaml format
  • 7. The Story of a Microservice @ammbra1508 </> Application code Docker file Kubernetes objects in yaml format
  • 8. Kubernetes Package Manager @ammbra1508 Manage and update multiple Kubernetes configurations templates Deploy many configs as a SINGLE application Parametrize for multiple environments support
  • 10. Helm Advantages @ammbra1508 Check In a template, you can check nested values at every level Deploy Many configurations can be deployed through a single chart instance. Separate Non-final values are separated from the actual objects. Prototype Easily prototype an application installation.
  • 11. Distinctive Helm Aspects (1) @ammbra1508 deployment.yaml Reusability is encouraged via include, _helpers.tpl, tpl Automatically roll deployments via annotations _helpers.tpl
  • 12. Distinctive Helm Aspects (2) @ammbra1508 deployment.yaml Automatically roll deployments via annotations Instruct Helm to keep resources upon uninstall service.yaml
  • 14. WHAT HAPPENS AT THE MATURITY OF THE SYSTEM? @ammbra1508
  • 15. Benefits of using Operators @ammbra1508 Package human operational knowledge Clients like kubectl and dashboard automatically work with Operators The resources created via Operators are secured and use HTTPS Can be used to create backups or for configuring your cluster Cloud native tools can be maintained via operators
  • 16. What’s next? @ammbra1508 Maintain Maintained the PostgreSQL database via the operator. Isolate Kept Helm charts for installing the application. Deploy Followed the deployment instructions. Decide https://postgres-operator.readthedocs.io/en/latest/ Discover https://operatorhub.io/
  • 17. Create an Operator @ammbra1508 KUDO (Kubernetes Universal Declarative Operator) kubebuilder Metacontroller along with WebHooks that you implement yourself Operator Framework
  • 19. From Helm Charts to Operators @ammbra1508
  • 20. Publish Helm Charts to a Repo @ammbra1508 $ git checkout gh-pages $ helm package ticket-store $ mv ticket-store-0.1.0.tgz docs $ helm repo index docs --url https://ammbra.github.io/helm-vs-operators $ git add . $ git commit –am “published charts” $ git push origin
  • 21. Create an Operator from Helm Charts @ammbra1508 $ helm repo add store https://ammbra.github.io/helm-vs-operators/ $ mkdir operator $ cd operator $ operator-sdk init --plugins helm --helm-chart store/ticket-store $ kubectl apply -f config/samples/charts_v1alpha1_ticketstore.yaml
  • 22. Takeaways @ammbra1508 Helm Operators Have a custom packaging format. Include many complex configuration data within the package. You are deploying a stateless application and are happy with its settings. Can deploy a stateful application and maintain it in a completely automatic way. Great for checking an application deployment via its release information. Can deploy an application configured in a particular way across a cluster to achieve high availability. Have annotations that can trigger automatic deployments. Useful for operations related to backups or cluster configuration.
  • 23. @ammbra1508 Code made available at https://github.com/ammbra/helm-vs-operators