-
Scalability: The ability to scale is the key concern for many IoT solutions. The ability to serve more devices and handle terabytes of data in real-time requires an infrastructure that can independently scale horizontally or vertically.
-
High availability: Edge devices need to be available and reliable for IoT solutions that handle critical business tasks.
-
Efficient use of resources: Kubernetes lowers the cost of hosting IoT applications due to its efficient use of resources. Also, it provides an abstraction layer on top of hosted virtual machines.
-
Deployment to the IoT edge: A key IoT challenge is deploying software updates to edge devices without interrupting services. Kubernetes can run microservices that progressively roll out changes to services. Kubernetes deployments roll out pod-version updates with a rolling update strategy.
-
Enabling DevOps for IoT: IoT solutions must be updated seamlessly with zero downtime to end-users to meet market demands. Kubernetes helps development teams quickly verify, roll out, and deploy changes to IoT services. Also, Kubernetes is supported on different cloud providers, such as AWS, Google Cloud, and Azure. It is even supported as on-premise software. Hence, it will be easy to migrate to any cloud service in the future.
Because of these features, Kubernetes has become one of the most common orchestration tools to be deployed and managed.