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A Comparison of Current Kubernetes Distributions

This is an article from DZone's 2021 Kubernetes and the Enterprise Trend Report.

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We have many options for native Kubernetes builds and deployments, like Google Kubernetes Engine (GKE), AWS Elastic Kubernetes Services (EKS), and Azure Kubernetes Service (AKS), or third-party services like Spinnaker and Jenkins. Large enterprises rely on a cloud-first strategy for digital transformation, and choosing a cloud-agnostic architecture is ideal. In this article, we discuss some of the many options for Kubernetes distributions, so please keep in mind: this is not an exhaustive list. So let’s dive into adopting a cloud-native architecture, various K8s distributions, and selecting the right option for your use case. 

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Kubernetes Service Discovery

Discover Kubernetes Service Discovery.


Modern applications rely on microservices to remain scalable and efficient. Kubernetes provides the perfect environment for microservices to exist and work together with the tools and features it offers. As each part of the application gets placed in a container, the system as a whole becomes more scalable.

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Managing Kubernetes Ingresses

Kubernetes has built on Docker’s containerization success to further transform the way server environments are set up. Rather than relying on a single physical server or a cloud instance, web services and apps can now run across a multi-cloud environment. Cloud provider networking capabilities the flexibility offered by Kubernetes even further, allowing developers to have private and public instances/services in a proper network architecture implementation.

When we have pods and Kube services running in private subnets though, these are not instantly accessible from the internet. Kubernetes has an extra layer between your services and the internet. That layer is Ingress. For us to utilize those private cluster resources from the external world, we need to set up an ingress controller and ingress rules.

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How to Run Apache Cassandra on Kubernetes

With Kubernetes’ popularity skyrocketing and the adoption of Apache Cassandra growing as a NoSQL database well-suited to matching the high availability and scalability needs of cloud-based applications, it should be no surprise that more developers are looking to run Cassandra databases on Kubernetes. However, many devs are finding that doing so is relatively simple to get going with, but considerably more challenging to execute at a high level.

On the positive side, Kubernetes helpfully offers StatefulSets — workload API objects that can be used to manage stateful applications. StatefulSets provide the requisite components to establish stable and unique network identifiers, stable persistent storage, smooth and ordering deployment and scaling (as well as deletion and termination), and automated rolling updates.