Introduction

A growing enterprise managing cloud-native applications on Amazon EKS.

Objective

To modernize Kubernetes infrastructure, strengthen security, optimize cloud costs, and maintain production stability through AI-assisted DevOps practices.

Proposed Solution

BSEtec delivered an end-to-end Kubernetes modernization and optimization strategy powered by AI DevOps practices:

  • AI-Assisted Upgrade Planning: Identified deprecated APIs, compatibility risks, and upgrade dependencies.
  • Kubernetes Modernization: Coordinated cluster upgrades, add-on compatibility, and workload validation using AWS EKS and Helm.
  • Intelligent Observability: Applied AI-assisted log analysis and anomaly detection to improve operational visibility.
  • Security & Cost Optimization: Strengthened workload access controls and identified resource optimization opportunities.

Challenge

The organization faced increasing infrastructure costs, Kubernetes upgrade complexity, and compatibility risks across interconnected services. Modernization required a structured approach to minimize disruption to production workloads.

Key Outcomes

  • Seamless cluster upgrade and modernization with minimal disruption to live production workloads.
  • Proactive identification and mitigation of deprecated APIs and version compatibility bottlenecks.
  • Enhanced operational visibility and accelerated root-cause analysis through AI-assisted observability.
  • Targeted infrastructure cost reductions and strengthened workload security governance.

Technology Stack

ComponentTechnology
Container OrchestrationAWS EKS, Kubernetes
Package ManagementHelm
Service Mesh & NetworkingIstio
DevOps & CI/CDAI-Powered DevOps, CI/CD
ObservabilityAI Log Analysis, Anomaly Detection, Observability

BSEtec's Approach

BSEtec combines AI-assisted analysis, Kubernetes automation, and cloud engineering to help businesses modernize infrastructure, improve operational efficiency, and build secure, scalable cloud-native environments.