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Recent advancements in the cloud computing domain have resulted in hugestrides toward simplifying the procurement of hardware and software for diverseneeds. By moving enterprise workloads to managed cloud offerings (private,public, hybrid), customers are delegating mundane tasks and labor-intensivemaintenance activities related to network connectivity, procurement of cloudresource, application deployment, software patches, and upgrades, etc., Thisoften translates to benefits such as high availability and reduced cost. Thepopularity of container and micro-services-based deployment has made Kubernetesthe de-facto standard to deliver applications. However, even with Kubernetesorchestration, cloud service providers frequently have operational scalabilityissues due to lack of Continuous Integration and Continuous Deployment (CICD)automation and increased demand for human operators when managing a largenumber of software deployments across multiple data centers/availability zones.Kubernetes solves this in a novel way by creating and managing customapplications using Operators. Agile methodology advocates incremental CICDwhich are adopted by cloud providers. However, ironically, it is this samecontinuous delivery feature of application updates, Kubernetes clusterupgrades, etc., that is also a bane to cloud providers. In this paper, we willdemonstrate the use of IBM open-source project Razee as a scalable continuousdeployment framework to deploy open-source RStudio and Nginx Operators. We willdiscuss how IBM Watson SaaS application Operator, Blockchain applications, andKubernetes resources updates, etc., can be deployed similarly and the use ofOperators to perform application life cycle management. We assert that usingRazee in conjunction with Operators on Kubernetes simplifies application lifecycle management and increases scalability.

Achieving Operational Scalability Using Razee Continuous Deployment Model and Kubernetes Operators