Sep 2026· International Journal of Computer Science and Engineering· Vol 14, pp. 24-30· 0 citations
TL;DR
This work builds a cloud-native observability system on Amazon EKS, with full automation, that offers a production-grade reference architecture to transition from a debugging to a monitoring mindset to improve reliability and performance.
Abstract
The emergence of microservices and container-based applications, brings with it challenges of lack of observability, manual deployment and time to detect outages. Our work addresses these challenges by building a cloud-native observability system on Amazon EKS, with full automation. This involves provisioning using Amazon EKS and Infrastructure as Code (IaC) with Terraform, along with CI/CD automation with GitHub Actions and keyless OpenID Connect (OIDC). Docker is used to containerize applications and Helm for deployment. Container monitoring is achieved with a monitoring stack (Prometheus and Grafana), Alertmanager and Blackbox Exporter, covering the Four Golden Signals: traffic, latency, errors and saturation. The system was successfully deployed and tested in a live environment on AWS with zero touch deployments, monitoring and alerts. This work offers a production-grade reference architecture to transition from a debugging to a monitoring mindset to improve reliability and performance.
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