Leveraging Badger DB for Enhanced Etcd Operations

Author(s)	Kishore Kumar Jinka, B. Purnachandra Rao
Country	United States
Abstract	Across dispersed systems, Kubernetes is a container orchestration platform that controls deployments, configurations, and application workloads. Kubernetes relies heavily on etcd, a distributed key-value store that serves as a consistent and dependable single source of truth for cluster configurations and state. Etcd guarantees data consistency between nodes, which helps Kubernetes stay coordinated and efficiently handle updates. When configuration changes are done using kubectl, for instance, the API server authenticates and approves the request before forwarding the adjustments to etcd, which subsequently distributes them among nodes. The implementation of etcd utilizing Ledger DB and Badger DB is examined in this study with an emphasis on performance comparisons. In terms of overseeing etcd's operations, preliminary results indicate that Badger DB performs better than Ledger DB. The study aims to validate these results, offering insights into optimizing etcd's data store implementations for enhanced performance in distributed systems.
Keywords	Kubernetes (K8S), Cluster, Nodes, Deployments, Pod, configMaps, Secrets, Persistent Volume, Persistent Volume Claim, ReplicaSets, Statefulsets, Service, Service Abstraction, , Ledger DB , Badger DB. ETCD.
Field	Computer Applications
Published In	Volume 3, Issue 3, May-June 2021
Published On	2021-06-23

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International Journal For Multidisciplinary Research