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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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| Paper Title: | Optimizing Kubernetes (EKS) for Telecom Applications in Multi-AZ AWS Environments |
| Authors Name: | Jayavelan Jayabalan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_205128
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| Published Paper Id: | IJRTI2507006 |
| Published In: | Volume 10 Issue 7, July-2025 |
| DOI: | https://doi.org/10.56975/ijrti.v10i7.205128 |
| Abstract: | Amazon Elastic Kubernetes Service (EKS) stands out as a dependable, scalable, and fully managed platform tailored for running modern containerized applications in the cloud. Still, many organizations transitioning to cloud-native setups find it challenging to strike the right balance between keeping costs low and ensuring high availability. This paper explores a range of practical techniques and proven strategies aimed at optimizing costs while building robust EKS environments. It delves into the architectural factors influencing operational expenses—such as compute resources, storage systems, networking layers, and control plane operations—and evaluates solutions like workload rightsizing, smart autoscaling, and fine-tuning network traffic. Additionally, the discussion includes how observability tools, governance models, and thoughtful deployment methods can shape both performance and cost-effectiveness in real-world scenarios. Drawing on insights from seven trusted technical sources, it emphasizes the vital importance of integrated monitoring, adaptive autoscaling, and workload-specific resource planning in building efficient, scalable, and cost-optimized EKS environments. Advanced deployment patterns—including multi-AZ and multi-region architectures—are analyzed using service mesh technologies and traffic routing methods that enhance availability and resilience. The primary aim of the paper is to offer actionable guidance for engineers, architects, and IT leaders in designing efficient and fault-tolerant Kubernetes environments on AWS. It positions EKS not only as a powerful compute platform but also as a foundational element for achieving both operational stability and financial sustainability in cloud-native environments. |
| Keywords: | Amazon EKS, Kubernetes, Cost Optimization, High Availability, Autoscaling, Cloud Networking, Kubernetes Governance, Pod Scaling, FinOps, Multi-AZ, Multi-region Clusters, Cloud Monitoring, Service Mesh, Cluster Autoscaler, Resource Rightsizing ______________________________ |
| Cite Article: | "Optimizing Kubernetes (EKS) for Telecom Applications in Multi-AZ AWS Environments", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a35-a43, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507006.pdf |
| Downloads: | 000502 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2507006
Registration ID:205128
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205128
Page No: a35-a43 Country: Chennai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507006 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507006 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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