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Kubernetes

Overview​

Container orchestrators such as Kubernetes and Amazon ECS provide native capabilities for deploying and managing the lifecycles of Sensors, such as deploying, recycling, high-available and version management.

Components​

  • Operator
  • Sensor
  • Cluster Manager

To learn more about the Upwind components and their architecture review Upwind Components

Prerequisites​

Minimum Kubernetes Versions​

The Kubernetes project maintains release branches for the most recent three minor releases, review current supported releases .

Upwind will maintain support for all maintained releases , older releases are not tested and not recommended.

The following Kubernetes versions:

  1. Kubernetes - Versions 1.20 and above.
  2. OpenShift - Versions 4.6 and above.
  3. Amazon EKS - Versions 1.20 and above.
  4. Google Kubernetes Engine (GKE) - Versions 1.20 and above.
  5. Azure Kubernetes Engine (AKS) - Versions 1.20 and above.

Container Runtimes​

  1. Docker Engine
  2. Containerd
  3. CRI-O

Minimum Docker Engine Versions​

Upwind will maintain support for all maintained releases

Minimum Containerd Versions​

Upwind will maintain support for all maintained releases

Minimum CRI-O Versions​

CRI-O also follows the Kubernetes n-2 release version. If a Kubernetes release goes End of Life, then the corresponding CRI-O version can be considered in the same way.

Supported Kubernetes types​

  • ReplicaSet
  • Deployment
  • StatefulSet
  • Standalone pods
  • Job
  • CronJob
  • DaemonSet
  • Kubernetes Nodes

Installation​

The installation choices available for deploying the Upwind Sensor on Kubernetes are as follows:

Upwind Operator​

Here are a few benefits of installing Upwind Sensor using an Operator:

  • The Operator has built-in default configurations for memory & CPU consumption based on Upwind best practices.
  • The Operator configuration can automatically upgrade the running Upwind Sensors once a new version becomes available.
  • It is advisable to avoid manual DaemonSet configuration due to the substantial potential for errors.