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Scaling Kubernetes Clusters with AI-Driven Observability for Improved Service Reliability

Year: 2024

Type: article

Abstract: This study introduces an AI-powered observability framework integrated with Kubernetes clusters using Prometheus and Grafana. It demonstrates how predictive analytics reduces mean time to resolution (MTTR) and optimizes resource allocation. The research outlines a case study with measurable gains in service reliability and cost-effectiveness.

Source: Journal of AI-powered medical innovations.

DOI: 10.60087/japmi.vol.03.issue.01.id.003

Authors: Sandeep Pochu, Sai Rama Krishna Nersu, Srikanth Reddy Kathram

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4405765615

FWCI: 0.172

Cites: 9

Cited by: 1

Related to: 10