Category Archives: Uncategorized

Self-Healing Infrastructure Using Custom Shell Automation In Red Hat

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Authors: Meenakshi Sundaram, R. Jayanthi, Pradeep Das, Soundarya G.

Abstract: – In modern enterprise environments, ensuring high availability and service continuity has become a mission-critical requirement. Red Hat Enterprise Linux (RHEL), a cornerstone of many IT infrastructures, provides a robust platform for implementing self-healing mechanisms through lightweight and flexible automation. This review explores the concept of self-healing infrastructure with a focus on shell-based automation techniques tailored to RHEL environments. By leveraging native tools such as Bash scripting, systemd, cron jobs, inotify, and Ansible hooks, administrators can design reactive and proactive remediation systems capable of detecting, isolating, and correcting faults without human intervention. The increasing complexity of enterprise deployments, often compounded by limited operational windows and lean support teams, necessitates automation that is both scalable and transparent. Shell scripting remains a powerful ally due to its direct access to system resources, speed, and platform compatibility. Use cases examined in this review include automatic service restarts upon failure, filesystem monitoring and cleanup, dynamic network reconfiguration, and log anomaly detection all driven by lightweight shell scripts. Additionally, the paper examines how these automation techniques can integrate with broader observability frameworks such as ELK and Prometheus for telemetry-driven decision making. Scalability considerations, security constraints, execution reliability, and the evolution of event-driven remediation are discussed to position shell automation as a foundational element of resilient, self-healing systems. The study concludes by reflecting on emerging directions, such as AI-enhanced automation and Red Hat’s event-driven Ansible, and evaluates the continued relevance of shell scripting in modern DevOps and hybrid cloud architectures.

DOI: https://doi.org/10.5281/zenodo.16157141

 

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Role-Based Access Control in Multi-Zone Solaris Networks

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Authors: Bhavya Iyer, Pradeep Sinha, Krithika Sharma, Anand Joshi

Abstract: Role-Based Access Control (RBAC) is a crucial security model used to manage user access and permissions in complex network architectures. In multi-zone Solaris networks, RBAC plays a key role in ensuring that users only have access to the resources they need based on their designated roles. Solaris zones allow for the isolation of different virtual environments on the same physical machine, providing greater security and operational flexibility. However, managing access control in such segmented environments can be challenging. This paper explores the implementation of RBAC in multi-zone Solaris networks, discussing the configuration of roles and permissions across different zones, the tools available for managing RBAC, and the challenges and benefits of applying this access control model. Best practices for creating, managing, and auditing roles within Solaris zones are also outlined, demonstrating how RBAC enhances security and operational efficiency in multi-zone infrastructures.

DOI: https://doi.org/10.5281/zenodo.16156315

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Redundant Monitoring Strategies Using Sl1 And Solarwinds

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Authors: Magesh S., Rithika G, Saravanan N.,, Kalpana Devi

Abstract: In complex enterprise IT environments, the reliability of monitoring systems is paramount. As businesses increasingly rely on uninterrupted digital services, monitoring tools themselves must be resilient to failure. Traditional single-platform monitoring architectures risk becoming single points of failure, jeopardizing visibility when incidents occur. To mitigate this risk, organizations are turning to redundant monitoring strategies, deploying parallel observability platforms such as SL1 (ScienceLogic) and SolarWinds. These platforms, while functionally overlapping, offer complementary strengths in data collection, event correlation, visualization, and integration, making them well-suited for redundant and failover-ready deployments. This review explores the strategic deployment of SL1 and SolarWinds in active-active and active-passive configurations to ensure continuous visibility into infrastructure performance, network health, and application availability. By using both platforms in tandem, enterprises can cross-validate data, ensure continuity during platform-specific outages, and reinforce the reliability of alerts and notifications. Integration points such as shared collectors, APIs, and ITSM toolchains (e.g., ServiceNow, Jira) allow seamless cooperation between platforms while preserving operational efficiency. The review also covers key areas such as collector redundancy, alert de-duplication, data consistency, and cross-platform correlation, especially in environments supporting heterogeneous systems like UNIX, Windows, and hybrid cloud workloads. Real-world case studies from healthcare, government, and financial sectors are examined to demonstrate the impact of redundant monitoring in mission-critical infrastructures. Furthermore, the article outlines integration with external observability platforms such as Prometheus and ELK, discusses scalability and fault isolation, and assesses future trends in AIOps-enhanced monitoring. Ultimately, this review positions SL1 and SolarWinds not as competing solutions but as complementary components in a modern, resilient, and intelligent monitoring architecture.

DOI: https://doi.org/10.5281/zenodo.16156139

 

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BLOCK CHAIN BASED: SUPPLY CHAIN MANAGEMENT SYSTEM

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Authors: Mahammad Rafeeq, Pavana Kumar H A, Kumarswamy S

Abstract: This study aims to explore the current status, potential applications, and future directions of blockchain technology in supply chain management. A comprehensive literature survey, along with an analytical review, of blockchain-based supply chain research was conducted to better understand the trajectory of related research and shed light on the benefits, issues, and challenges in the blockchain–supply chain paradigm. A selected corpus comprising 106 review articles was analysed to provide a holistic overview of the integration of blockchain and smart contracts into supply chain ecosystems. The findings reveal that blockchain technology has attracted significant attention from researchers, engineers, and industry practitioners due to its potential to revolutionize traditional supply chain operations through decentralized trust, immutable data records, and improved automation. The diverse industrial applications of blockchain span across sectors such as agriculture, pharmaceuticals, automotive, logistics, and food safety, each utilizing blockchain’s capabilities to enhance operational transparency, real-time data sharing, fraud prevention, and regulatory compliance. Four major thematic issues have emerged as pivotal to the future trajectory of blockchain adoption in supply chains: (i) traceability and transparency, which are essential for product authenticity and regulatory adherence; (ii) stakehold.

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CentrifyDC Authentication Failures: Patterns, Prevention, and Protocols

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Authors: Vinay Kulkarni, Sneha Patange, Meera Salgaonkar, Rajat Nair

Abstract: Authentication is a critical component of enterprise security, ensuring that only authorized users gain access to sensitive data and systems. CentrifyDC is an identity and access management solution that integrates with Active Directory (AD) to manage user authentication, offering features like single sign-on (SSO) and role-based access control (RBAC). However, authentication failures in CentrifyDC can arise due to various factors such as incorrect credentials, time synchronization issues, network connectivity problems, and misconfigured protocols. These failures can disrupt business operations and pose security risks. This paper explores the common patterns of authentication failures in CentrifyDC, including their root causes, troubleshooting methods, and prevention strategies. It also discusses key protocols involved in CentrifyDC authentication, such as Kerberos, LDAP, and RADIUS, and highlights best practices for minimizing failures and enhancing system reliability.

DOI: https://doi.org/10.5281/zenodo.16155649

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Forensic Readiness Using Tcpdump, Wireshark, and Log Analysis

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Authors: Shalini Mehra, Pavan Krishnan, Rituja Deshpande, Anil Borkar

Abstract: Forensic readiness is a crucial component of modern cybersecurity, enabling organizations to effectively detect, analyze, and respond to security incidents. In a landscape where cyber threats are becoming increasingly sophisticated, forensic readiness ensures that organizations are prepared to collect and preserve digital evidence in a way that supports investigative processes and legal proceedings. This paper explores the role of network traffic capture tools, such as tcpdump and Wireshark, alongside log analysis, in forensic readiness. Tcpdump, a command-line tool for network packet capture, and Wireshark, a graphical network protocol analyzer, are instrumental in collecting real-time network data and identifying suspicious activities during security incidents. Log analysis plays a complementary role by providing detailed records of system and application events, helping investigators build a comprehensive timeline of the attack. Together, these tools enable organizations to monitor network traffic, correlate system activities, and preserve evidence, ensuring a rapid and efficient response to cyber threats. This paper discusses the features, practical applications, and benefits of using tcpdump, Wireshark, and log analysis in forensic investigations, highlighting their critical role in enhancing cybersecurity defenses and ensuring regulatory compliance.

DOI: https://doi.org/10.5281/zenodo.16154989

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Data Protection Strategies with EMC, Hitachi, and NetApp in Unix Infrastructure

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Authors: Tahmidul Islam, Sadia Mahjabeen

Abstract: In today's data-driven world, protecting sensitive information and ensuring its integrity has become a core responsibility for organizations, especially as they scale and rely more on complex infrastructures. As businesses transition their workloads to more hybrid and multi-cloud environments, the need for reliable and robust data protection strategies has never been more crucial. Data is increasingly stored on highly distributed systems, and to ensure its security and availability, organizations must adopt advanced solutions that allow them to back up, secure, and recover critical data quickly and efficiently. Unix-based infrastructures are at the heart of many enterprise IT systems, powering everything from database servers to web hosting environments, and these systems need tailored data protection strategies. In this context, EMC (now part of Dell Technologies), Hitachi Vantara, and NetApp are three key players in the data protection space, each offering comprehensive solutions for backup, disaster recovery, and storage management in Unix environments. This paper explores the data protection strategies offered by these vendors, with a focus on their solutions for Unix infrastructures. The discussion will highlight the key features of each vendor's offering, including their approaches to data backup, replication, disaster recovery, and cloud integration. Additionally, the paper will assess the scalability, performance, and flexibility of their solutions, providing organizations with insights into which vendor best suits their operational and technical requirements. As businesses strive to manage their data securely and efficiently in an ever-evolving IT landscape, the choice of the right data protection strategy becomes crucial. This paper aims to help organizations understand how these industry leaders are addressing the challenges of modern data management and protection in Unix-based infrastructures.

DOI: https://doi.org/10.5281/zenodo.16152709

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Intelligent Disaster Recovery Workflows in Red Hat Enterprise Environments

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Authors: Rezwana Akter, Mehedi Munna

Abstract: In today's interconnected and highly digital world, businesses of all sizes are increasingly reliant on their IT infrastructure for the delivery of services, and the availability of critical systems is more important than ever. For enterprises running on Red Hat Enterprise Linux (RHEL) environments, maintaining business continuity in the event of an unforeseen disaster requires intelligent disaster recovery (DR) strategies. These workflows are essential for ensuring that the systems remain resilient against failures such as hardware malfunctions, cyberattacks, or natural disasters. Intelligent disaster recovery workflows in RHEL environments are designed to ensure that critical business functions continue seamlessly by automating backup, replication, and failover processes, ensuring minimal downtime and maximum recovery efficiency. This paper explores intelligent disaster recovery workflows tailored for Red Hat Enterprise environments, focusing on leveraging automation tools like Ansible, Red Hat Virtualization (RHV), and Red Hat OpenShift to orchestrate these processes effectively. Through automation, organizations can not only streamline their recovery procedures but also enhance scalability and reduce recovery times, ensuring the availability of mission-critical data and services in the event of system failures. Moreover, as more businesses adopt hybrid cloud infrastructures, integrating cloud-based disaster recovery (DR) solutions with traditional on-premise solutions becomes vital. This paper also discusses how businesses can implement cloud disaster recovery strategies alongside on-premise infrastructures to create a comprehensive and scalable disaster recovery plan that minimizes risks associated with data loss while ensuring compliance with regulations such as HIPAA and GDPR.

DOI: https://doi.org/10.5281/zenodo.16152661

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Backup Optimization Using VSP G900/G1000 Arrays in Healthcare IT

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Authors: Nasrin Jahan, Salman Hossain

Abstract: In healthcare organizations, the protection of patient data and operational continuity is paramount. The advent of digital health systems has led to a vast increase in data generation, from Electronic Health Records (EHRs) to medical imaging, creating challenges for data protection. Healthcare IT systems must meet stringent regulatory compliance standards like HIPAA (Health Insurance Portability and Accountability Act), which dictate that data be secure, available, and recoverable in case of failure. With data volumes increasing, ensuring fast and efficient backup processes has become critical, as it directly impacts an organization’s ability to respond to unforeseen disruptions, disasters, or cyberattacks. One of the leading solutions for optimizing backup operations in healthcare IT is the VSP G900/G1000 arrays from Hitachi Vantara. These storage systems are designed to provide high performance, scalability, and reliability in complex environments, offering a combination of features such as data deduplication, replication, cloud integration, and high availability. These features enable healthcare organizations to optimize their backup workflows, reduce storage costs, and ensure rapid data recovery, making them a valuable asset in modern healthcare infrastructures. This paper explores how VSP G900/G1000 arrays optimize backup strategies within healthcare IT environments. It examines how these arrays facilitate data protection, meet regulatory compliance standards, and enhance disaster recovery capabilities. Additionally, the paper discusses the scalability and flexibility of these arrays in handling large healthcare data sets, enabling efficient backup and recovery while ensuring that the IT systems stay operational with minimal downtime. As healthcare organizations increasingly adopt cloud-first strategies, the VSP G900/G1000 arrays are positioned as a vital tool for protecting sensitive data, ensuring business continuity, and optimizing backup processes across the healthcare sector.

DOI: https://doi.org/10.5281/zenodo.16152432

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Comparing Snapshot Technologies: TSM vs Commvault in Large-Scale Environments

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Authors: Ishara Jayasuriya, Chamika Dissanayake

Abstract: In today’s ever-evolving technological landscape, enterprises are increasingly relying on cloud computing for its scalability, flexibility, and cost-effectiveness. As organizations grow and expand, managing large-scale data environments efficiently becomes a significant challenge. One of the most crucial aspects of managing such environments is data protection, which is why snapshot technologies have become essential components of modern IT infrastructures. Snapshots enable organizations to create point-in-time copies of their systems and data, allowing for quick recovery in case of failure, and are particularly useful for backup, disaster recovery, and ensuring data integrity. Among the most widely used snapshot technologies are IBM Tivoli Storage Manager (TSM) and Commvault, both of which offer advanced backup and snapshot management solutions suited for large-scale environments. IBM Tivoli Storage Manager (TSM) has been an industry leader in backup and recovery for enterprises, with a strong emphasis on data deduplication and incremental backup technologies. On the other hand, Commvault is renowned for its cloud-first approach to data protection, providing comprehensive backup, recovery, and snapshot solutions across on-premises, hybrid, and cloud environments. This paper aims to compare the snapshot capabilities of TSM and Commvault, focusing on their performance, scalability, integration with cloud environments, data integrity features, compliance support, and overall suitability for large-scale IT environments. The comparison will explore the differences in how these two snapshot technologies handle large volumes of data and complex infrastructure setups, such as multi-cloud and hybrid cloud architectures. By examining the strengths and weaknesses of both solutions, this paper will provide organizations with valuable insights to make informed decisions about which snapshot technology best fits their operational needs. For businesses dealing with high-volume workloads, the ability to perform fast, reliable backups and recovery is critical. This analysis will also explore how both TSM and Commvault contribute to efficient disaster recovery, support regulatory compliance, and ensure business continuity in large-scale environments. Ultimately, this comparison will assist enterprises in selecting the most appropriate snapshot technology for their infrastructure, ensuring data protection while optimizing cost, performance, and scalability.

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