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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 06 | Jun 2024

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p-ISSN: 2395-0072

Kubernetes Application Monitoring System Soniya Phaltane1, Vaidehi Kahalekar2, Spandan Divate3, Mrs A.A Kokate4 1,2,3UG Student, Department of Computer and Electronics Engineering, PES’s Modern College of Engineering, Pune,

Maharashtra India.

4Assistant Professor, Department of Computer and Electronics Engineering, PES’s Modern College of Engineering,

Pune, Maharashtra India. -------------------------------------------------------------------------***-----------------------------------------------------------------------Abstract— In today's dynamic and distributed computing line tools. By harnessing the power of tools like kubectl, Helm, and custom scripts, we aim to gain valuable insights into the health, performance, and security posture of Kubernetes clusters and the applications residing within them[3].

environments, effective monitoring and security practices are paramount to ensuring the reliability, performance, and integrity of applications and infrastructure. This project focuses on the monitoring and security of Kubernetes deployments, a popular container orchestration platform widely used in modern cloud-native architectures. Utilizing a command-line approach, we employed various tools and techniques to monitor the health and performance of Kubernetes pods and applications, detect potential threats, and mitigate security risks. Through the use of command-line tools such as kubectl, helm, and custom scripts, we collected metrics, analyzed logs, and monitored network traffic within Kubernetes clusters. This report provides a comprehensive overview of our monitoring and security strategies, including the command-line methods employed, key findings, challenges encountered, and recommendations for future improvements. By adopting proactive monitoring and security measures, organizations can enhance the resilience and security of their Kubernetes deployments in today's evolving threat landscape.

Effective monitoring is essential for detecting and mitigating potential issues before they impact application availability and performance[3]. Similarly, robust security measures are crucial for safeguarding Kubernetes environments from threats and vulnerabilities, ensuring the confidentiality, integrity, and availability of critical resources. In this report, we document our approach to Kubernetes monitoring and security, shedding light on the tools and techniques employed, key findings, encountered challenges, and recommendations for enhancing monitoring and security practices[2]. By sharing our experiences and insights, we aspire to contribute to the broader understanding of Kubernetes best practices and empower organizations to build resilient and secure cloud-native environments, akin to the transformative potential observed in mobile technology and smart city developments.

Keywords— Kubernetes, Monitoring, Security, kubectl, Metrics- Logs, Network traffic, Threat detection, Incident response, Cloud-native, Container orchestration.

2. OBJECTIVES Certainly! The project's objectives delve into the core aspects of Kubernetes management, namely monitoring and security, with the overarching goal of ensuring the reliability, performance, and security of the applications hosted within the Kubernetes environment[4]

INTRODUCTION

In the current landscape of technology-driven advancements, Kubernetes stands as a cornerstone for modern cloud-native architectures, offering unparalleled scalability, flexibility, and portability for deploying and managing applications[1]. The proliferation of Kubernetes deployments reflects the ever-growing complexity and significance of container orchestration in today's computing environment. However, with the rapid expansion of Kubernetes ecosystems, ensuring the reliability, performance, and security of these deployments has emerged as a paramount challenge for organizations worldwide[3].

Firstly, the project aims to closely monitor the performance of applications running within Kubernetes pods. This involves tracking various performance metrics such as response times, resource utilization (CPU, memory), and overall system health. By continuously monitoring these metrics, the project seeks to gain insights into the applications' behavior, identify potential performance bottlenecks, and optimize resource allocation to improve overall efficiency[1]. Secondly, the project focuses on tracking incoming requests to the applications, providing visibility into traffic patterns, usage trends, and potential spikes in demand. Understanding the flow of requests helps in capacity planning, resource allocation, and ensuring the

This project embarks on addressing these challenges by delving into strategies for monitoring and securing Kubernetes deployments, primarily through command-

Impact Factor value: 8.226

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