Maximizing Efficiency: Unveiling thePotential ofKubernetes Metrics

Title

Maximizing Efficiency: Unveiling thePotential ofKubernetes Metrics

Creator

Joyce, Josephine Eskaline; Sebastian, Shoney

Description

In the realm of Kubernetes cluster management, the importance of metrics cannot be overstated. Metrics serve as a powerful lens, providing a quantitative perspective into a clusters performance, behavior, and resource utilization. In the ever-evolving landscape of cloud-native computing, metrics are the key to informed decision-making. They empower administrators to navigate scaling, resource allocation, and the holistic optimization of Kubernetes clusters with a data-driven confidence. This paper stands as a vital contribution, placing metrics at the forefront of the discussion. It underscores their transformative potential by shedding light on how they drive administrators decisions, enable the identification of performance bottlenecks, and enhance application responsiveness. Moreover, metrics play a pivotal role in proactive capacity planning, ensuring resources are allocated with precision to meet both current and future workload demands. In essence, this papers core contribution lies in providing a comprehensive overview of Kubernetes metrics and highlighting their profound impact on Autoscaling strategies. By revealing the constraints that metrics may impose on the efficient scaling of application resources, it equips administrators with a navigational tool for building dynamic and resilient computing environments within Kubernetes clusters. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Electrical Engineering;Volume;1219 LNEE;pp.31-44

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Custom metrics; kubernetes; Metrics; Metrics pipeline; Scaling

Coverage

Joyce J.E., CHRIST (Deemed to be University), Bengaluru, India; Sebastian S., CHRIST (Deemed to be University), Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 18761100; ISBN: 978-981974539-5;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-4540-1_3

https://www.scopus.com/pages/publications/85219208480?origin=resultslist