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Helm vs Operators – Do I Need to Decide?
DevOpsCon Berlin, June 2021
Nico Meisenzahl
• Senior Cloud & DevOps Consultant at white duck
• Microsoft MVP, Docker Community Leader &
GitLab Hero
• Container, Kubernetes, Cloud-Native & DevOps
© white duck GmbH 2021
Phone: +49 8031 230159 0
Email: nico.meisenzahl@whiteduck.de
Twitter: @nmeisenzahl
LinkedIn: https://www.linkedin.com/in/nicomeisenzahl
Blog: https://meisenzahl.org
Agenda
• Do I need to decide?
• How do Helm and Operators differ?
• Real-world examples
• How to build an Operator
© white duck GmbH 2021
Do I need to decide?
© white duck GmbH 2021
Do I need to decide?
No!
We need different tools and methods to tackle different use
cases. They can also complement each other.
These use cases range from installing a small app to
operating a complex stateful application.
© white duck GmbH 2021
What is Helm?
• “The package manager for Kubernetes”
• simplifies our application deployments by focusing on
templatization, reusability
• we can use it for our own apps or benefit from a big
ecosystem
Note: Helm is just one (the most common) example of a
variety of similar tools.
© white duck GmbH 2021
What Helm helps with
• allows us to define, package, customize our applications
• supports us installing, upgrading and deleting stateless
applications
• enables us to start quickly
• provides us with support for Day-1 operations
Helm does not focus on managing/operating an application.
© white duck GmbH 2021
Application lifecycle
© white duck GmbH 2021
https://www.meshcloud.io/2020/06/08/cloud-landing-zone-lifecycle-explained/
What we still need help with
• maintaining our applications
• housekeeping tasks
• optimizing our exiting applications
• upgrading
• stateful applications
• complex applications with dependencies
• implementing backups, failure recovery
Basically, everything that concerns Day-2 operation.
© white duck GmbH 2021
The Operator pattern
… is an application-specific controller that extends the
Kubernetes API to create, configure, and manage instances
of complex stateful applications on behalf of a Kubernetes
user.
The Operator pattern aims to capture the main goal of a
human operator managing a service or set of services.
© white duck GmbH 2021
Where an Operator can help
• package human operational knowledge into code
• DRY (don’t repeat yourself)
• automate maintenance & complex operational tasks
• deployments & scaling
• configuration changes, rollouts, upgrades & testing
• backups & restores
• tasks can be translated into declarative input
• diff, act, observe (declarative / desired state)
Offers Kubernetes-native way to automate Day-2 operations.
© white duck GmbH 2021
What exactly is an Operators?
• Custom Resource
• a Custom Resource (CR) is an extension of the Kubernetes API
defined by a Custom Resource Definition (CRD)
• Controller
• a Controller monitors the CR type and initiates application-
specific actions to adjust the current state of the resource to the
desired state.
• the Controller runs as a containerized workload within the
Kubernetes cluster
© white duck GmbH 2021
Operator lifecycle
© white duck GmbH 2021
https://medium.com/swlh/kubernetes-operator-for-beginners-what-why-how-21b23f0cb9b1
Operator vs. Custom Controller
• identical concepts with different domains
• Custom Controller
• understands only Kubernetes’s native abstractions such as
Pod, Deployment, Service, …
• Operator
• Controllers that are part of an Operator also understand
Custom Resource abstractions that the Operator has
introduced
© white duck GmbH 2021
When to use Operators
• operate stateful third-party applications
• manage your own complex or stateful applications
• introduce abstraction
• “something” as a service as part of a developer platform
• external resources
© white duck GmbH 2021
Some examples (third party)
• Prometheus Operator
• manage Prometheus, Alertmanager, and related components
• Strimzi Kafka Operator
• run and operate Apache Kafka clusters on Kubernetes in various
deployment configurations
• Elastic Cloud on Kubernetes (ECK)
• orchestrate Elastic applications (Elasticsearch, Kibana, APM Server,
…) on Kubernetes
• Crossplane
• provision and manage cloud infrastructure and services
© white duck GmbH 2021
Build your own Operator
• using a Kubernetes Client library
• https://github.com/kubernetes/sample-controller
• choose from a variety of tools and frameworks
• kubebuilder
• Operator Framework
• Shell-operator
• KUDO
© white duck GmbH 2021
https://hazelcast.com/blog/build-your-kubernetes-operator-with-the-right-tool/
kubebuilder
• provides powerful libraries and tools to simplify building
and publishing Kubernetes APIs from scratch
• focuses on Golang
• fully flexible
• is maintained by Kubernetes SIG API Machinery
© white duck GmbH 2021
Operator Framework
• Operator SDK
• software development kit for building Operators
• scaffolding and more higher-level framework with large feature set
• supporting Helm, Ansible and Golang
• Operation Lifecycle Manager (OLM)
• helps install, update, and manage the lifecycle of Operators
• OperatorHub.io
• catalog hosting existing Operators
• by RedHat
© white duck GmbH 2021
Shell-operator
• running event-driven scripts in a Kubernetes cluster
• bash, python, kubectl, …
• easy to start with
• ops-focused
• triggered by Kubernetes events, scheduled, or start up
• webhook machinery for AdmissionReview requests & others
• is based on an “universal” controller
• by Flant
© white duck GmbH 2021
KUDO
• Kubernetes Universal Declarative Operator
• no coding required
• define Operators as templated YAML manifests
• based on kubebuilder and other community projects
• Operator Repository
• https://github.com/kudobuilder/operators
• also based on an “universal” controller
© white duck GmbH 2021
You have to decide
• are you running…
• stateless or stateful/complex applications?
• stateful third-party applications? Do they provide an Operator?
• Operators…
• can help but also introduce complexity
• you need to commit to maintain the Operator code
• have a different focus than Helm; each has strengths and
weaknesses
• Operators & Helm can also complement each other
© white duck GmbH 2021
Questions?
Slides: https://www.slideshare.net/nmeisenzahl
Nico Meisenzahl (Senior Cloud & DevOps Consultant)
Phone: +49 8031 230159 0
Email: nico.meisenzahl@whiteduck.de
Twitter: @nmeisenzahl
LinkedIn: https://www.linkedin.com/in/nicomeisenzahl
Blog: https://meisenzahl.org
© white duck GmbH 2021

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DevOpsCon Berlin: Helm vs Operators – Do I Need to Decide?

  • 1. Helm vs Operators – Do I Need to Decide? DevOpsCon Berlin, June 2021
  • 2. Nico Meisenzahl • Senior Cloud & DevOps Consultant at white duck • Microsoft MVP, Docker Community Leader & GitLab Hero • Container, Kubernetes, Cloud-Native & DevOps © white duck GmbH 2021 Phone: +49 8031 230159 0 Email: nico.meisenzahl@whiteduck.de Twitter: @nmeisenzahl LinkedIn: https://www.linkedin.com/in/nicomeisenzahl Blog: https://meisenzahl.org
  • 3. Agenda • Do I need to decide? • How do Helm and Operators differ? • Real-world examples • How to build an Operator © white duck GmbH 2021
  • 4. Do I need to decide? © white duck GmbH 2021
  • 5. Do I need to decide? No! We need different tools and methods to tackle different use cases. They can also complement each other. These use cases range from installing a small app to operating a complex stateful application. © white duck GmbH 2021
  • 6. What is Helm? • “The package manager for Kubernetes” • simplifies our application deployments by focusing on templatization, reusability • we can use it for our own apps or benefit from a big ecosystem Note: Helm is just one (the most common) example of a variety of similar tools. © white duck GmbH 2021
  • 7. What Helm helps with • allows us to define, package, customize our applications • supports us installing, upgrading and deleting stateless applications • enables us to start quickly • provides us with support for Day-1 operations Helm does not focus on managing/operating an application. © white duck GmbH 2021
  • 8. Application lifecycle © white duck GmbH 2021 https://www.meshcloud.io/2020/06/08/cloud-landing-zone-lifecycle-explained/
  • 9. What we still need help with • maintaining our applications • housekeeping tasks • optimizing our exiting applications • upgrading • stateful applications • complex applications with dependencies • implementing backups, failure recovery Basically, everything that concerns Day-2 operation. © white duck GmbH 2021
  • 10. The Operator pattern … is an application-specific controller that extends the Kubernetes API to create, configure, and manage instances of complex stateful applications on behalf of a Kubernetes user. The Operator pattern aims to capture the main goal of a human operator managing a service or set of services. © white duck GmbH 2021
  • 11. Where an Operator can help • package human operational knowledge into code • DRY (don’t repeat yourself) • automate maintenance & complex operational tasks • deployments & scaling • configuration changes, rollouts, upgrades & testing • backups & restores • tasks can be translated into declarative input • diff, act, observe (declarative / desired state) Offers Kubernetes-native way to automate Day-2 operations. © white duck GmbH 2021
  • 12. What exactly is an Operators? • Custom Resource • a Custom Resource (CR) is an extension of the Kubernetes API defined by a Custom Resource Definition (CRD) • Controller • a Controller monitors the CR type and initiates application- specific actions to adjust the current state of the resource to the desired state. • the Controller runs as a containerized workload within the Kubernetes cluster © white duck GmbH 2021
  • 13. Operator lifecycle © white duck GmbH 2021 https://medium.com/swlh/kubernetes-operator-for-beginners-what-why-how-21b23f0cb9b1
  • 14. Operator vs. Custom Controller • identical concepts with different domains • Custom Controller • understands only Kubernetes’s native abstractions such as Pod, Deployment, Service, … • Operator • Controllers that are part of an Operator also understand Custom Resource abstractions that the Operator has introduced © white duck GmbH 2021
  • 15. When to use Operators • operate stateful third-party applications • manage your own complex or stateful applications • introduce abstraction • “something” as a service as part of a developer platform • external resources © white duck GmbH 2021
  • 16. Some examples (third party) • Prometheus Operator • manage Prometheus, Alertmanager, and related components • Strimzi Kafka Operator • run and operate Apache Kafka clusters on Kubernetes in various deployment configurations • Elastic Cloud on Kubernetes (ECK) • orchestrate Elastic applications (Elasticsearch, Kibana, APM Server, …) on Kubernetes • Crossplane • provision and manage cloud infrastructure and services © white duck GmbH 2021
  • 17. Build your own Operator • using a Kubernetes Client library • https://github.com/kubernetes/sample-controller • choose from a variety of tools and frameworks • kubebuilder • Operator Framework • Shell-operator • KUDO © white duck GmbH 2021 https://hazelcast.com/blog/build-your-kubernetes-operator-with-the-right-tool/
  • 18. kubebuilder • provides powerful libraries and tools to simplify building and publishing Kubernetes APIs from scratch • focuses on Golang • fully flexible • is maintained by Kubernetes SIG API Machinery © white duck GmbH 2021
  • 19. Operator Framework • Operator SDK • software development kit for building Operators • scaffolding and more higher-level framework with large feature set • supporting Helm, Ansible and Golang • Operation Lifecycle Manager (OLM) • helps install, update, and manage the lifecycle of Operators • OperatorHub.io • catalog hosting existing Operators • by RedHat © white duck GmbH 2021
  • 20. Shell-operator • running event-driven scripts in a Kubernetes cluster • bash, python, kubectl, … • easy to start with • ops-focused • triggered by Kubernetes events, scheduled, or start up • webhook machinery for AdmissionReview requests & others • is based on an “universal” controller • by Flant © white duck GmbH 2021
  • 21. KUDO • Kubernetes Universal Declarative Operator • no coding required • define Operators as templated YAML manifests • based on kubebuilder and other community projects • Operator Repository • https://github.com/kudobuilder/operators • also based on an “universal” controller © white duck GmbH 2021
  • 22. You have to decide • are you running… • stateless or stateful/complex applications? • stateful third-party applications? Do they provide an Operator? • Operators… • can help but also introduce complexity • you need to commit to maintain the Operator code • have a different focus than Helm; each has strengths and weaknesses • Operators & Helm can also complement each other © white duck GmbH 2021
  • 23. Questions? Slides: https://www.slideshare.net/nmeisenzahl Nico Meisenzahl (Senior Cloud & DevOps Consultant) Phone: +49 8031 230159 0 Email: nico.meisenzahl@whiteduck.de Twitter: @nmeisenzahl LinkedIn: https://www.linkedin.com/in/nicomeisenzahl Blog: https://meisenzahl.org © white duck GmbH 2021