Monitoring, Observability, and Operational Resilience

This paper provides insights on the link between operational risk management, disaster recovery (DR), business continuity planning (BCP), outsourcing and operational resilience, for financial services. Core of the analysis of this paper is examining the use of stress and scenario testing for operational risks, focusing on the UK insurance sector as a case study. Specifically, it presents a critical analysis on the application of this risk management tool in risk and crisis management, from a resilience lens. The aim of this practical paper is to highlight the relationship between DR, BCP, third party risk management (TPRM) and operational resilience from a scenario analysis angle and testing requirements. This comparison of existing regulatory prescribed stress tests supports the recommendations for the development of company-specific severe but plausible scenarios. Guidance on the development, design, assessment and quantification of idiosyncratic scenarios is presented, building on the lessons learned from the regulatory prescribed stress tests. Overall, this research highlights the application of scenario analysis and stress testing as a core element of risk management practices for UK insurance companies in meeting operational resilience requirements, while enhancing their DR, BCP, TPRM and their overall approach in managing operational risks. Insights on advances in scenario analysis and stress testing for cyber risks and operational resilience are sought, considering the developments around FinTech and providing practical guidance for their implementation. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business.

This study identifies and systematically reviews the literature on resilience in management research in order to characterise operational resilience. We argue that operational resilience provides an integrative view on different resilience perspectives in business (supply chain, business continuity, infrastructure, organisational, strategic). Using the resource-based view and particularly dynamic capabilities perspective as theoretical lenses, operational resilience is discussed in relation to the core business processes of an enterprise. Five core functions (sense, build, reconfigure, re-enhance, sustain) are identified from literature and discussed taking into account desired and undesired consequences of uncertainties. Moreover, operational resilience is operationalised using routines pertaining to the identified core functions. The proposed operational resilience core functions are further scrutinised using two case examples. Future research is suggested to validate the identified core functions and to use them for empirical analysis, including investigation of relationships with operations management paradigms such as lean thinking.

Cloud computing disaster recovery (DR) has transformed into an indispensable component of business continuity and operational resiliency in the modern IT system. The study offers insights on how the DR sites and Blue/Green deployment policies can be applied to Amazon Web Services (AWS), their applicability in the real world, performance, and scalability. The research demonstrates AWS service intersectional benefits, upgrading of such services as Elastic Compute Cloud (EC2), Simple Storage Service (S3), Route 53, and Elastic Beanstalk when improving Recovery Time Objectives (RTO), Recovery Point Objectives (RPO), and reducing system downtime. The data indicates that AWS DR placements have reduced 45-minute to go down (RTO), 30-minute to recover (RPO), and 70% of significant downtime per annum in organizations that have been deployed to them, an equivalent of 25-40% of the cost of downtime. Blue/green deployments also boost performance with a success rate of 95% in the number of deployments once a system is deployed, and decrease user-facing downtime to as much as 90% when updates are made to a system. Such enhancements underscore the ability of AWS to provide affordable, automated, and resilient disaster recovery to accommodate various domains, including e-commerce, healthcare, and finance. The study concludes that AWS offers a scalable operating system of high-availability disaster recovery and determines potential future research prospects in artificial intelligence-based automation and hybrid cloud approaches to further streamline cloud-based resilience frameworks.

Business Continuity and Disaster Recovery Planning for IT Professionals

The adoption of cloud enterprise systems presents a transformative opportunity for small and medium enterprises (SMEs) in Sri Lanka, particularly in enhancing business security and continuity. This research investigates how these systems can effectively address critical challenges faced by SMEs, including cybersecurity threats, regulatory compliance, and infrastructural constraints. Utilizing a mixed-methods approach, the study integrates a systematic literature review with qualitative data from interviews and focus groups, as well as quantitative data from structured surveys. The findings reveal that while cloud technologies provide significant benefits in terms of data security, operational efficiency, and disaster recovery, the adoption process is hindered by unique local challenges. Key barriers identified include inadequate technological infrastructure, limited awareness among stakeholders, and regulatory hurdles that complicate implementation. To tackle these issues, the research proposes a tailored cybersecurity framework designed to offer practical guidelines for SMEs, enhancing their security posture. Moreover, strategic recommendations are presented to assist policymakers and technology providers in creating a supportive environment for cloud adoption. This research contributes to a deeper understanding of the role of cloud enterprise systems in improving business security and continuity for SMEs in Sri Lanka. It offers actionable insights for stakeholders aiming to cultivate a resilient and secure business ecosystem. By addressing the specific needs and challenges of SMEs, the study aims to promote a more robust adoption of cloud technologies, ultimately supporting the growth and sustainability of these enterprises in the evolving digital landscape. Overall, this research underscores the importance of cloud solutions in fostering a secure and efficient operational framework for SMEs in Sri Lanka.

Secure Cloud Disaster Recovery Systems: From Planning to Execution offers a comprehensive guide to understanding, designing, and implementing effective disaster recovery (DR) systems in the cloud. As cloud environments become the backbone of modern IT infrastructure, ensuring their resilience in the face of disasters has never been more crucial. This book equips IT professionals, business leaders, and disaster recovery planners with the tools and knowledge to safeguard their cloud-based systems against unexpected disruptions, all while ensuring business continuity, regulatory compliance, and robust data security. The book begins with an introduction to the fundamental concepts of cloud disaster recovery, including its definition, key benefits, and the challenges involved in implementing effective solutions. Chapter 1 also covers the various cloud disaster recovery models available and outlines the steps involved in creating a solid disaster recovery plan. As the foundation for the entire book, this chapter provides essential background information that is expanded upon in later sections. Chapter 2 delves into the critical process of risk assessment and business impact analysis (BIA). Readers will learn how to identify potential threats and vulnerabilities, prioritize critical business functions, and set recovery time objectives (RTO) and recovery point objectives (RPO). This chapter underscores the importance of involving stakeholders in the assessment process and documenting findings to ensure preparedness. The book continues with Chapter 3, which focuses on designing an effective cloud disaster recovery strategy. From defining goals and objectives to choosing the right cloud service providers, this chapter offers practical insights into how to integrate DR with business continuity planning. It also addresses key security and compliance considerations during the design phase, making it a valuable resource for organizations operating in highly regulated industries. Chapter 4 provides an in-depth look at cloud architecture for disaster recovery, comparing multi-cloud and single-cloud strategies, and exploring essential technologies like data storage solutions, virtualization, and automation. The following chapter guides readers through the practical steps of implementing cloud disaster recovery solutions, including system configuration, testing, and performance monitoring. Testing and validation are crucial aspects of any disaster recovery system, and Chapter 6 covers the different types of testing (from simulations to full-scale drills), offering best practices for developing test scenarios and evaluating results. The book emphasizes continuous improvement by encouraging organizations to address any gaps identified during testing. Ongoing monitoring and maintenance of DR systems are discussed in Chapter 7, where readers will discover tools and metrics for tracking performance and keeping the DR plan up to date. This chapter highlights the importance of adapting the plan as business needs change and managing third-party vendor relationships effectively. Security considerations are covered in Chapter 8, where the focus shifts to cloud security fundamentals, encryption, access control, and compliance with data protection regulations. As cyber threats evolve, organizations must implement best practices to secure their cloud DR systems and stay ahead of emerging trends. The legal and compliance landscape is explored in Chapter 9, offering guidance on navigating frameworks like GDPR and HIPAA. The book concludes with real-world case studies in Chapter 10, emerging trends in Chapter 11, and final recommendations and future directions in Chapter 12. Overall, Secure Cloud Disaster Recovery Systems: From Planning to Execution is an essential resource for anyone involved in cloud disaster recovery, offering actionable insights to ensure system resilience and business continuity.

CIOs, when asked if they're prepared for a pandemic, pull out their disaster recovery (DR) plan. Unfortunately, most CIOs have DR documents that are not connected or aligned with their organizations Business Continuity Plan (BCP), if one exists, at all. Furthermore, CIOs are rarely involved in constructing or maintaining their organization's business continuity plan (BCP). What's the difference between a DR plan and BCP, and what role should CIOs play in their development?

During the holiday season, retail supply chains are challenged with managing increased order volumes, lower order processing times, and customer expectations. Warehouse Control Systems (WCS) operational resiliency and performance during this peak period are essential to maintaining fulfillment velocity and accuracy. This paper presents a Holiday Readiness Scorecard approach designed to assess the readiness of WCS within Retail Distribution Center (DC) environments. The scorecard evaluates the following six readiness dimensions: System Performance and Capacity, Integration Stability, Hardware Reliability, Operational Readiness, Monitoring and Support, and Contingency Planning. By measuring readiness across these six domains, the scorecard provides a framework for correlating system readiness, identifying system vulnerabilities, prioritizing mitigations, and aligning cross-functional teams during the holiday season. The adoption of the scorecard approach enables operational readiness based on data correlation and provides insight into business continuity during the retail industry’s most critical season.

Implementing effective disaster recovery (DR) and business continuity (BC) strategies in the AWS Cloud has become crucial for organizations seeking to ensure operational resilience and data integrity in an increasingly digital world. This comprehensive technical article explores the fundamental concepts, implementation strategies, and real-world applications of DR and BC solutions within the AWS ecosystem, supported by detailed case studies from health care, financial services, and manufacturing sectors. The article encompasses critical AWS services, including Amazon S3, AWS Elastic Disaster Recovery, and multi-region architectures, while examining how organizations leverage these tools to achieve specific recovery time objectives (RTOs) and recovery point objectives (RPOs). The article provides insights into best practices, common challenges, and emerging trends in cloud-based disaster recovery by examining various implementation approaches—from backup and restore strategies to multi-site active/active configurations. Special attention is given to industry-specific compliance requirements, cost optimization strategies, and automation integration to enhance DR/BC capabilities. The findings demonstrate that successful DR/BC implementation in AWS requires a careful balance of technical architecture, security considerations, and business requirements, ultimately contributing to improved organizational resilience and operational stability across diverse industry sectors.


 
 
 The Business continuity plan and strategy provide effective solutions to Multi-cloud and Microservice approach. The business continuity plan helps to maintain backup and disaster recovery. It ensures continuous business processes during disasters and emergencies. The business continuity planning methods that include risk assessment, analyze impacts, and entire business continuity strategies.
 
 

Everything an information security practitioner deals with requires some form of testing to ensure that the information technology or resource is within configuration specifications. This applies to ensuring that business continuity (BC) and disaster recovery (DR) plans are documented and executable as per the business continuity strategy and that the capabilities are deployed as part of an overall business continuity program for the enterprise. Testing BC/DR plans is done with regard to justifying the economic benefit of having BC/DR capabilities in place. A company that decides not to test its BC/DR plans will not know if those capabilities and documented procedures will work during a disaster and thus risk survivability of the enterprise. The information security professional may be asked to assume the role of testing coordinator or facilitator. This role, in most organizations, is responsible for coordinating and facilitating testing of all BC/DR plans, which requires a thorough understanding of the plans to ensure that the business continuity policy will be met, attaining appropriate funding for the overall testing of these plans, identifying the types of testing that should be conducted, scheduling testing to minimize its impact on business operations, and developing scenario-based test plans that clearly state the scope, purpose, and objective for testing.

Chapter 11 - Responsibilities

This study examines the potential of Artificial Intelligence (AI) as a transformative mechanism for enhancing the sustainability and operational continuity of Family-Owned Businesses (FOBs) in Southeast Nigeria. The study explores how AI adoption can help address operational inefficiencies, improve decision-making, and support intergenerational continuity. The study employs a qualitative methodology grounded in an extensive analysis of secondary materials, including books, policy reports, and peer-reviewed journal articles. The literature review focused on conceptual foundations of AI, areas of AI adoption in FOBs, challenges impeding AI integration, and strategies for sustainable AI implementation. A thematic analysis framework was applied to synthesise insights across these areas, enabling the identification of patterns and implications for FOB sustainability. The literature indicates that AI adoption can enhance efficiency, decision-making, operational resilience, and competitiveness in FOBs. However, adoption is hindered by factors such as limited digital literacy among senior decision-makers, resistance to change rooted in family values, high implementation costs, inadequate infrastructure, and insufficient access to technical expertise. Strategies for overcoming these challenges include aligning AI integration with family-specific resources, effective succession planning, and culturally sensitive change management.mWhile extensive research exists on the sustainability challenges of FOBs, particularly in African contexts where survival rates are low, few studies have explored the role of AI in addressing these challenges. This study provides a novel conceptual contribution by highlighting AI as a strategic tool to strengthen operational performance, intergenerational continuity, and long-term competitiveness in family businesses. It also lays the groundwork for future empirical studies on AI adoption in emerging economies.

In brief, Disaster recovery (DR) covers the process, policies and procedures related to preparing for recovery or continuation of technology infrastructure critical to an organization after a natural or human-induced disaster. It is a critical aspect of Business Continuity Management (BCM), as without data, the business comes to a standstill. DR in cloud would allow SME's to cut down their costs on expensive IT infrastructure and reduce the burden on IT department. This paper throws light upon the need for cloud and the services provided by cloud. It aims at provisioning the need for DR in companies and how DR in cloud would be the best service among all the cloud services and how the same would be highly beneficial to SME's.

Chapter 1 - Business Continuity and Disaster Recovery Overview