Deploy Apache Cassandra Cluster On Openshift And Kubernetes

With increasing advances in technology for capturing and analyzing data, many businesses have developed the ability to contextualize data and derive valuable insights from it. Apache Cassandra is one such open-source NoSQL database management system that is perfect for managing big data across multiple data centers, commodity servers, and the cloud. In this article, we will discuss how to deploy the Apache Cassandra cluster on Openshift and then on Kubernetes. 

Deploy Apache Cassandra Cluster On Openshift

Red Hat OpenShift is a robust and scalable Kubernetes platform used for developing containerized applications faster. From hybrid cloud management to multi-cloud management to managed edge deployments, Red Hat OpenShift improves developers’ productivity and drives innovation in every sense. Over 2000 customers trust Red Hat OpenShift, which comes in four flavors – OpenShift Online, OpenShift Container Platform, OpenShift Origin, and OpenShift Dedicated.

• OpenShift Online is Red Hat’s deployment and hosting platform offered as Software as a Service. 
• OpenShift Containers is an on-premises platform as a service managed by Kubernetes that becomes the basis for developing containerized applications. 
• OpenShift Origin is an upstream community based on Docker container packaging and Kubernetes container cluster management. 
• OpenShift Dedicated is a single-tenant fully managed service from Red Hat on Amazon Web Services (AWS) and Google Cloud.

Even to increase agility, elastic scaling, and portability, many businesses enlist the help of third parties like Ksolves to deploy databases such as Cassandra and data analytics workloads on containers and Kubernetes. Cassandra’s rapid deployment with the help of Ksolves on OpenShift enables faster project execution and dynamic scaling of computing resources. Let’s walk through the deployment and management steps of an open-source Cassandra cluster on OpenShift.

Deploying a Cassandra Cluster on Red Hat OpenShift requires the following steps:

1. Set up an OpenShift cluster with at least 3 nodes.
2. As a daemon set on OpenShift, install a cloud-native storage solution.
3. Develop a storage class specifying your storage needs, such as replication factor, performance profile, and snapshot policy.
4. On Kubernetes, deploy Cassandra as a stateful set.
5. Kill or cordon nodes in your cluster to test failover.
6. Take an app compatible snapshot of Cassandra which is optional

Deploy Apache Cassandra Cluster On Kubernetes

Businesses today collect, store, and analyze huge amounts of data. Apache Cassandra is a freely available NoSQL database with massive scalability that is ideal for handling vast amounts of structured, semi-structured, and unstructured data across various data centers, commodity servers, and the cloud.

Kubernetes is the most widely known container orchestration framework in the world, and it’s also one of GitHub’s ongoing projects. In this frame, you’ll gain knowledge on how to incorporate these two powerful systems by using Kubernetes to set-up a cloud-native Cassandra deployment.

Interpretation

This pattern shows how Kubernetes clusters can be used to their maximum potential. It demonstrates how to use Apache Cassandra, the world’s renowned NoSQL database, in close collaboration with Kubernetes, the world’s most successful container orchestration system. From IBM Cloud Container Service Kubernetes clusters, you can get a complete setup blueprint for a multi-node scalable Cassandra cluster.

Each Cassandra element works in its container or container cluster. You can implement vast numbers of nodes across various data centers using Apache Cassandra’s distributed system. The distributed structure of Cassandra is built solely for multi-datacenter deployment, duplication, failover, and data backup.

These characteristics, when combined, make it the perfect choice for a container orchestration platform, providing all of the benefits of automated processes, implementation, upgrading, and monitoring.

Flow

1. A headless service is created by the developer. A Kubernetes service is a concept that represents a logical set of pods as well as a policy for accessing them. Cassandra cluster formation and “seed” discovery are handled by the headless Cassandra service.
2. The developer sets up a Kubernetes Replication Controller for non-persistent Cassandra cluster pod node creation and scaling. After confirming that a full Cassandra node has been made, the developer can scale the Cassandra cluster by appending more Replication Controller nodes.
3. To generate continuous Cassandra nodes, the developer uses Static provisioning to make persistent volumes from the sourced files. The quantity of Persistent Volumes created by the developer matches the quantity of Cassandra nodes. 
4. To make and scale constant Cassandra cluster node pods, the developer utilizes Kubernetes Stateful Sets. Ordered deployment, ordered discontinuation, and distinct network names are all handled by the Stateful Set.
5. The developer creates and updates an Employee table on the Cassandra keyspace using Cassandra Query Language (CQL).

Note: Deploying Apache Cassandra Cluster on OpenShift and Kubernetes requires expertise and the right set of tools, and this is something that Ksolves boasts of. We make it easy for you to harness the power of the Apache Cassandra cluster on OpenShift and Kubernetes according to your desired needs.

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