Achieving Operational Scalability Using Razee Continuous Deployment Model and Kubernetes Operators
Srini Bhagavan, Saravanan Balasubramanian, Prasad Reddy Annem, Thuan, Ngo, Arun Soundararaj

TL;DR
This paper demonstrates how Razee, an open-source continuous deployment framework, combined with Kubernetes Operators, enhances operational scalability and simplifies application lifecycle management in cloud environments.
Contribution
It introduces the use of Razee with Kubernetes Operators to improve deployment automation and scalability for cloud applications, addressing operational challenges.
Findings
Razee enables scalable continuous deployment of Kubernetes applications.
Using Operators with Razee simplifies application lifecycle management.
The approach reduces human intervention and operational overhead.
Abstract
Recent advancements in the cloud computing domain have resulted in huge strides toward simplifying the procurement of hardware and software for diverse needs. By moving enterprise workloads to managed cloud offerings (private, public, hybrid), customers are delegating mundane tasks and labor-intensive maintenance activities related to network connectivity, procurement of cloud resource, application deployment, software patches, and upgrades, etc., This often translates to benefits such as high availability and reduced cost. The popularity of container and micro-services-based deployment has made Kubernetes the de-facto standard to deliver applications. However, even with Kubernetes orchestration, cloud service providers frequently have operational scalability issues due to lack of Continuous Integration and Continuous Deployment (CICD) automation and increased demand for human operators…
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Distributed and Parallel Computing Systems · Systems Engineering Methodologies and Applications
