Navigating the Labyrinth: A Comprehensive Analysis of Legacy Systems in Modern Computing Environments

Navigating the Labyrinth: A Comprehensive Analysis of Legacy Systems in Modern Computing Environments

Many thanks to our sponsor Esdebe who helped us prepare this research report.

Abstract

Legacy systems, defined as outdated computer systems, software, or technologies still in use, present a multifaceted challenge to organizations across various sectors. While representing a sunk cost and embodying accumulated institutional knowledge, they often struggle to integrate with modern technologies, lack robust security features, and hinder operational agility. This report provides a comprehensive analysis of legacy systems, exploring their characteristics, the business and technical drivers behind their continued use, the inherent risks they pose, and strategies for their modernization and security. We delve into the economic implications of maintaining legacy systems versus modernization efforts, examine prevalent architectural patterns and modernization approaches, and discuss the critical role of governance and change management in successful legacy system transformation. The report also incorporates case studies to illustrate both successful and unsuccessful legacy system management endeavors, concluding with a discussion of emerging trends and future research directions in this crucial area of information technology.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

1. Introduction

In the rapidly evolving landscape of information technology, organizations constantly strive to adopt new technologies and optimize their operational efficiency. However, many organizations are burdened by legacy systems – outdated computer systems, software, or technologies that remain in use despite their age and limitations. These systems, often built decades ago, can hinder innovation, increase operational costs, and pose significant security risks.

The term “legacy system” is often used pejoratively, implying obsolescence and inefficiency. However, the reality is more nuanced. Legacy systems frequently represent substantial investments of time, resources, and knowledge. They often contain critical business logic and data that are deeply intertwined with an organization’s core operations. The decision to maintain, modernize, or replace a legacy system is therefore a complex one, requiring careful consideration of technical, economic, and strategic factors.

This report aims to provide a comprehensive overview of legacy systems, examining their characteristics, the reasons for their persistence, the challenges they present, and the strategies for managing them effectively. We will explore the technical and economic aspects of legacy systems, discuss various modernization approaches, and highlight the importance of security in the context of legacy environments. Ultimately, this report seeks to provide a balanced perspective on legacy systems, recognizing their inherent limitations while acknowledging their continued relevance in many organizations.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

2. Defining Legacy Systems: Characteristics and Context

Defining a legacy system is not always straightforward. While age is a primary factor, the term encompasses more than just old technology. A system is considered “legacy” when it exhibits one or more of the following characteristics:

  • Outdated Technology: Legacy systems typically rely on programming languages, hardware, or software platforms that are no longer widely supported or considered state-of-the-art. Examples include COBOL-based mainframe applications, systems running on obsolete operating systems (e.g., Windows XP), or applications written in older versions of programming languages without active support and community maintenance.

  • Lack of Documentation: Over time, documentation for legacy systems often becomes incomplete, inaccurate, or lost altogether. This lack of documentation makes it difficult to understand the system’s functionality, troubleshoot problems, and make modifications.

  • Integration Challenges: Legacy systems are often difficult to integrate with newer technologies and systems. This can hinder the adoption of modern architectures, such as microservices and cloud computing.

  • Maintenance Difficulties: Maintaining legacy systems can be challenging due to the scarcity of skilled personnel familiar with the outdated technologies. Finding developers, administrators, and support staff for these systems can be costly and time-consuming.

  • High Operational Costs: Legacy systems often require specialized hardware, software licenses, and support contracts, resulting in high operational costs. Furthermore, their inefficient architecture can lead to increased energy consumption and resource utilization.

  • Security Vulnerabilities: Legacy systems are often vulnerable to security threats due to outdated security protocols, unpatched vulnerabilities, and a lack of security expertise. This makes them attractive targets for cyberattacks.

The context in which a legacy system operates also influences its impact on an organization. Factors such as the criticality of the system’s functions, the size and complexity of the organization, and the regulatory environment all play a role in determining the importance of managing legacy systems effectively. For example, a legacy system that supports a core business process in a highly regulated industry will require a different approach than a less critical system in a less regulated environment.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

3. The Persistence of Legacy Systems: Reasons and Rationales

Despite the challenges and risks associated with legacy systems, many organizations continue to rely on them for a variety of reasons. Understanding these reasons is crucial for developing effective strategies for managing legacy environments.

  • High Replacement Costs: Replacing a legacy system can be extremely expensive, requiring significant investments in new hardware, software, development, and training. The perceived cost of replacement often outweighs the perceived benefits, leading organizations to defer modernization efforts.

  • Business Continuity Concerns: Replacing a legacy system can disrupt critical business processes, potentially leading to revenue loss and reputational damage. Organizations are often hesitant to take risks that could jeopardize their core operations. This is especially true in industries with regulatory mandates such as health or finance, where system availability is essential.

  • Lack of Business Case: It can be difficult to justify the investment in modernizing a legacy system if the business benefits are not clearly defined. Organizations may struggle to quantify the potential return on investment (ROI) of modernization efforts, especially if the current system is perceived to be functioning adequately.

  • Technical Complexity: Legacy systems are often complex and poorly documented, making it difficult to understand their functionality and dependencies. This complexity can make it challenging to plan and execute a modernization project successfully.

  • Organizational Inertia: Organizations may be resistant to change, especially if the legacy system has been in place for a long time. Employees may be comfortable with the existing system and reluctant to learn new technologies. Also, a lack of internal technical resources with the necessary skills to undertake a modernization project can hamper any change.

  • Perceived Low Risk: In some cases, organizations may underestimate the risks associated with legacy systems, such as security vulnerabilities and integration challenges. They may believe that the current system is “good enough” and that the risks are manageable.

  • Knowledge Retention: Paradoxically, the very fact that the legacy system has survived so long means that a significant amount of domain knowledge and business rules are often embedded within it. Replacing the system entails risking the loss of this vital knowledge and incurring the cost of re-implementing it in the new system.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

4. Risks and Challenges Associated with Legacy Systems

While there may be valid reasons for the continued use of legacy systems, organizations must also be aware of the significant risks and challenges they pose. These risks can impact various aspects of the organization, including security, operations, and competitiveness.

  • Security Risks: Legacy systems are often vulnerable to security threats due to outdated security protocols, unpatched vulnerabilities, and a lack of security expertise. This makes them attractive targets for cyberattacks, which can result in data breaches, financial losses, and reputational damage. Many legacy systems were simply not designed with modern security threats in mind.

  • Operational Inefficiency: Legacy systems can be inefficient and resource-intensive, leading to high operational costs. Their outdated architecture may not be able to handle modern workloads, resulting in slow performance and reduced productivity. Manual processes are often required to compensate for the limitations of the system, increasing the risk of errors and delays.

  • Integration Challenges: Legacy systems are often difficult to integrate with newer technologies and systems. This can hinder the adoption of modern architectures, such as microservices and cloud computing, and limit the organization’s ability to innovate and adapt to changing market conditions. Data silos and lack of interoperability can also impede decision-making and collaboration.

  • Compliance Issues: Legacy systems may not meet current regulatory requirements, such as data privacy laws and industry-specific standards. This can expose the organization to legal and financial penalties. The cost of retrofitting a legacy system to comply with new regulations can be prohibitive.

  • Skills Gap: The scarcity of skilled personnel familiar with legacy technologies can make it difficult to maintain and support these systems. Finding developers, administrators, and support staff for legacy systems can be costly and time-consuming. This skills gap can also hinder modernization efforts, as organizations may lack the internal expertise to plan and execute a modernization project successfully.

  • Reduced Agility: Legacy systems can make it difficult for organizations to respond quickly to changing market conditions and customer demands. Their rigid architecture and lack of flexibility can hinder the development and deployment of new products and services. This lack of agility can put the organization at a competitive disadvantage.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

5. Modernization Strategies: Approaches and Considerations

Modernizing a legacy system is a complex undertaking that requires careful planning and execution. There are various approaches to modernization, each with its own advantages and disadvantages. The choice of approach depends on factors such as the system’s criticality, the organization’s budget, and the available resources.

  • Encapsulation: This involves wrapping the legacy system with a modern interface, allowing it to be accessed and integrated with newer systems without modifying the underlying code. This approach is relatively low-risk and can be a good option for systems that are stable and well-documented.

  • Rehosting (Lift and Shift): This involves moving the legacy system to a new infrastructure, such as the cloud, without making any significant changes to the code. This approach can be relatively quick and cost-effective, but it does not address the underlying problems of the legacy system.

  • Replatforming: This involves migrating the legacy system to a new platform, such as a different operating system or database, while preserving the existing code base. This approach can improve performance and scalability, but it may require significant effort to adapt the code to the new platform.

  • Refactoring: This involves restructuring and optimizing the legacy code to improve its maintainability, performance, and security. This approach can be time-consuming and expensive, but it can also yield significant long-term benefits.

  • Rewriting: This involves completely rewriting the legacy system from scratch using modern technologies and architectures. This approach is the most expensive and time-consuming, but it also offers the greatest opportunity to improve functionality and performance. It’s only sensible if the business functionality is critically valuable.

  • Microservices Architecture: Breaking down a monolithic legacy application into a collection of loosely coupled, independently deployable services. This allows for incremental modernization, focusing on individual components without disrupting the entire system. This approach is complex and requires careful planning, but it can improve scalability, resilience, and agility.

When choosing a modernization strategy, organizations should consider the following factors:

  • Business Requirements: The modernization strategy should align with the organization’s business goals and objectives. It should address the most pressing problems of the legacy system and deliver tangible benefits to the business.

  • Technical Feasibility: The modernization strategy should be technically feasible, taking into account the organization’s skills, resources, and infrastructure. It should also consider the complexity of the legacy system and the availability of appropriate tools and technologies.

  • Risk Assessment: The modernization strategy should be carefully evaluated to identify and mitigate potential risks. This includes risks related to data migration, system integration, and business disruption.

  • Cost-Benefit Analysis: The modernization strategy should be subjected to a thorough cost-benefit analysis to ensure that the potential benefits outweigh the costs. This analysis should consider both direct costs (e.g., development, hardware, software) and indirect costs (e.g., training, downtime, business disruption).

Many thanks to our sponsor Esdebe who helped us prepare this research report.

6. The Economics of Legacy Systems: Maintenance vs. Modernization

The decision to maintain or modernize a legacy system is fundamentally an economic one. Organizations must weigh the costs and benefits of each option to determine the best course of action. The costs associated with legacy systems can be significant and often underestimated. These costs include:

  • Maintenance Costs: Maintaining legacy systems requires specialized skills, hardware, and software licenses, which can be expensive. The cost of finding and retaining skilled personnel familiar with legacy technologies can be particularly high.

  • Operational Costs: Legacy systems are often inefficient and resource-intensive, leading to high operational costs. Their outdated architecture may not be able to handle modern workloads, resulting in slow performance and increased energy consumption.

  • Security Costs: Protecting legacy systems from security threats requires specialized security measures, which can be costly. The cost of recovering from a security breach can be even higher, including financial losses, reputational damage, and legal penalties.

  • Opportunity Costs: Maintaining legacy systems can divert resources away from more strategic initiatives, such as innovation and growth. The opportunity cost of not modernizing can be significant, as organizations may miss out on new market opportunities and competitive advantages.

The benefits of modernization can also be significant, including:

  • Reduced Costs: Modernizing legacy systems can reduce maintenance, operational, and security costs. Modern systems are typically more efficient, reliable, and secure, leading to lower total cost of ownership.

  • Improved Performance: Modern systems can provide improved performance, scalability, and reliability. This can lead to increased productivity, reduced downtime, and improved customer satisfaction.

  • Enhanced Security: Modern systems are typically more secure than legacy systems, reducing the risk of security breaches and data loss. They also provide better support for modern security protocols and technologies.

  • Increased Agility: Modern systems can make it easier for organizations to respond quickly to changing market conditions and customer demands. Their flexible architecture and modern development tools can facilitate the development and deployment of new products and services.

  • Compliance: Modern systems are more likely to meet current regulatory requirements, reducing the risk of legal and financial penalties.

A thorough cost-benefit analysis should be conducted to compare the costs of maintaining the legacy system with the benefits of modernization. This analysis should consider both tangible costs and benefits (e.g., hardware, software, labor, revenue) and intangible costs and benefits (e.g., risk reduction, improved customer satisfaction, increased agility).

Many thanks to our sponsor Esdebe who helped us prepare this research report.

7. Securing Legacy Systems: Best Practices and Mitigation Strategies

Securing legacy systems presents a unique set of challenges due to their outdated technologies, lack of security features, and scarcity of security expertise. However, organizations can implement various best practices and mitigation strategies to reduce the security risks associated with legacy environments.

  • Network Segmentation: Isolating legacy systems from the rest of the network can limit the impact of a security breach. This can be achieved through firewalls, virtual LANs (VLANs), and other network segmentation techniques.

  • Vulnerability Scanning: Regularly scanning legacy systems for known vulnerabilities can help identify and address potential security weaknesses. However, vulnerability scanners may not be compatible with older systems, requiring manual assessment.

  • Patch Management: Applying security patches to legacy systems can address known vulnerabilities. However, patching legacy systems can be challenging due to compatibility issues and the potential for system instability. A rigorous testing regime is required before applying patches to mission-critical legacy systems.

  • Intrusion Detection and Prevention: Implementing intrusion detection and prevention systems (IDS/IPS) can help detect and prevent malicious activity on legacy systems. These systems can monitor network traffic and system logs for suspicious behavior and automatically block or mitigate threats.

  • Data Encryption: Encrypting sensitive data stored on legacy systems can protect it from unauthorized access. Encryption can be implemented at the file system level, the database level, or the application level.

  • Strong Authentication: Implementing strong authentication mechanisms, such as multi-factor authentication (MFA), can prevent unauthorized access to legacy systems. However, some legacy systems may not support modern authentication protocols.

  • Access Control: Restricting access to legacy systems to only authorized users can reduce the risk of insider threats. This can be achieved through role-based access control (RBAC) and other access control mechanisms.

  • Application Whitelisting: Restricting the execution of only authorized applications on legacy systems can prevent malware infections. This can be achieved through application whitelisting tools.

  • Log Monitoring and Analysis: Monitoring and analyzing system logs can help detect and investigate security incidents. This can be achieved through security information and event management (SIEM) systems.

  • Regular Security Audits: Conducting regular security audits of legacy systems can help identify and address security weaknesses. These audits should be conducted by independent security experts.

  • Virtual Patching: Employing virtual patching technologies can provide an immediate layer of security for legacy systems without requiring code changes. This is especially useful for systems where applying official patches is difficult or impossible.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

8. Case Studies: Successes and Failures in Legacy System Management

Examining real-world examples of legacy system management can provide valuable insights and lessons learned. The following case studies illustrate both successful and unsuccessful approaches to managing legacy environments.

  • Case Study 1: Successful Modernization – A Financial Institution’s Migration to Microservices: A large financial institution successfully modernized its core banking system by migrating from a monolithic architecture to a microservices architecture. The institution adopted an incremental approach, gradually replacing components of the legacy system with microservices over a period of several years. This approach minimized disruption to the business and allowed the institution to leverage new technologies and improve scalability and agility. The key to their success was a strong commitment from senior management, a well-defined modernization roadmap, and a dedicated team of skilled professionals.

  • Case Study 2: Unsuccessful Modernization – A Government Agency’s Failed System Replacement: A government agency attempted to replace its legacy mainframe system with a new custom-built system. The project was plagued by technical challenges, cost overruns, and delays. The agency lacked the necessary skills and resources to manage the project effectively, and the project was ultimately abandoned after several years and millions of dollars in wasted investment. The failure was attributed to poor planning, inadequate risk management, and a lack of stakeholder engagement.

  • Case Study 3: Successful Security Implementation – A Healthcare Provider’s Network Segmentation Strategy: A healthcare provider successfully secured its legacy electronic health record (EHR) system by implementing a network segmentation strategy. The provider isolated the legacy system from the rest of the network and implemented strict access controls and security monitoring. This approach significantly reduced the risk of a data breach and helped the provider comply with regulatory requirements. Their success stemmed from a comprehensive security assessment, a clear understanding of the system’s vulnerabilities, and a strong commitment to security best practices.

  • Case Study 4: Unsuccessful Maintenance – Retailer’s High Costs and Downtime: A major retailer continued to maintain an aging point-of-sale system. Over time, the costs associated with maintenance skyrocketed due to the scarcity of qualified personnel and the increasing frequency of system failures. Frequent outages resulted in significant revenue losses and customer dissatisfaction. The retailer ultimately recognized the need to modernize the system, but the delays had a significant impact on their business.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

9. Emerging Trends and Future Directions

The field of legacy system management is constantly evolving, driven by new technologies, changing business needs, and emerging security threats. Some of the key emerging trends and future directions include:

  • Cloud-Native Modernization: Migrating legacy systems to cloud-native architectures is becoming increasingly popular. This approach allows organizations to leverage the scalability, flexibility, and cost-effectiveness of the cloud while modernizing their applications and infrastructure.

  • Low-Code/No-Code Platforms: Low-code/no-code platforms are emerging as a powerful tool for modernizing legacy systems. These platforms allow developers to quickly build and deploy new applications without writing code, making it easier to integrate with legacy systems and extend their functionality.

  • Artificial Intelligence (AI) and Machine Learning (ML): AI and ML are being used to automate various aspects of legacy system management, such as vulnerability scanning, threat detection, and performance optimization. These technologies can help organizations improve the efficiency and effectiveness of their legacy system management efforts.

  • DevSecOps: Integrating security into the DevOps pipeline is becoming increasingly important for legacy systems. DevSecOps practices can help organizations identify and address security vulnerabilities early in the development lifecycle and ensure that legacy systems are continuously monitored and protected.

  • Business Process Mining: Utilizing process mining techniques to automatically discover, monitor, and improve real business processes as they are executed within legacy systems. This provides valuable insight into system usage and potential areas for optimization or automation before undertaking large-scale modernization efforts.

Future research should focus on developing new tools and techniques for managing legacy systems, addressing the challenges of security and integration, and exploring the potential of emerging technologies to modernize legacy environments.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

10. Conclusion

Legacy systems represent a complex and multifaceted challenge for organizations. While they may offer certain advantages, such as a sunk cost and embedded knowledge, they also pose significant risks, including security vulnerabilities, operational inefficiencies, and integration challenges. The decision to maintain, modernize, or replace a legacy system requires careful consideration of technical, economic, and strategic factors.

Organizations should adopt a proactive and systematic approach to managing legacy systems, including conducting regular assessments, developing modernization roadmaps, implementing security best practices, and leveraging emerging technologies. A strong commitment from senior management, a well-defined strategy, and a dedicated team of skilled professionals are essential for successful legacy system management.

As technology continues to evolve, the importance of managing legacy systems will only increase. Organizations that can effectively manage their legacy environments will be better positioned to innovate, compete, and thrive in the digital age. Ignoring the challenges posed by legacy systems can lead to significant risks and missed opportunities.

Many thanks to our sponsor Esdebe who helped us prepare this research report.

References

  • [Feathers, M. (2004). Working Effectively with Legacy Code. Prentice Hall.]
  • [Seacord, R. C., Plakosh, D., & Lewis, G. A. (2003). Modernizing Legacy Systems: Software Technologies, Engineering Processes, and Business Practices. Addison-Wesley Professional.]
  • [Broy, M. (2006). Software Engineering: From Auxiliary to Key Technologies. Springer Science & Business Media.]
  • [Bennett, K. H. (1995). Legacy systems: coping with success. IEEE Software, 12(1), 19-23.]
  • [Weill, P., & Broadbent, M. (1998). Leveraging the new infrastructure: How market leaders capitalize on information technology. Harvard Business School Press.]
  • [Jacobson, I., Johnson, P. E., & Opdyke, W. F. (1997). Software reuse: Architecture, process and organization for business success. Addison-Wesley Professional.]
  • [Martin Fowler, Refactoring: Improving the Design of Existing Code. Addison-Wesley Professional, 1999.]
  • [https://owasp.org/www-project-top-ten/ (OWASP Top Ten Security Risks)]
  • [Sneed, H. M. (2012). Economics of Software Maintenance. In Software Management (pp. 39-64). Springer, Berlin, Heidelberg.]

16 Comments

  1. The discussion of AI and ML to automate vulnerability scanning and threat detection offers exciting possibilities. How might we ensure these AI-driven systems are continuously updated to recognize novel threats targeting legacy systems?

    • That’s a great point! Continuous updating is key. Perhaps a combination of real-time threat intelligence feeds, anomaly detection based on historical data, and a feedback loop from security analysts identifying false positives/negatives could ensure AI-driven systems stay ahead of novel threats targeting legacy systems. What are your thoughts?

      Editor: StorageTech.News

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  2. The report highlights the increasing use of AI/ML for legacy system management. How can organizations balance the potential benefits of AI-driven automation with the need for human oversight to address the nuances of outdated systems and prevent unintended consequences?

    • Thanks for raising this important point! Balancing AI/ML with human oversight is critical. Perhaps focusing AI on routine tasks like monitoring and reporting, while reserving complex problem-solving and ethical considerations for experienced personnel, would provide a solid foundation. What other ways can this balance be achieved?

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

  3. The report rightly emphasizes the economic implications. Perhaps a decision framework incorporating not just direct costs, but also weighing risks like potential data breaches and compliance violations, could provide a more comprehensive view of total cost of ownership when evaluating modernization strategies.

    • Thanks for your insightful comment! I agree completely that a more comprehensive decision framework is crucial. Factoring in the potential costs of data breaches, compliance violations, and even reputational damage alongside direct costs paints a much clearer picture of the true TCO. What specific metrics do you think would be most effective in quantifying these “softer” costs?

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

  4. Legacy systems: the IT equivalent of that comfy but questionable armchair we can’t bear to part with. Given sunk costs, how much do emotional reasons outweigh logic when deciding to upgrade…or not?

    • That’s such a relatable analogy! It’s interesting how emotional attachment to familiar systems, built up over years, can cloud rational decision-making. Perhaps framing the upgrade as an ‘investment in future comfort’ rather than a loss of the ‘comfy chair’ could help shift that perspective. Thanks for your thought!

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

  5. So, if legacy systems are the IT equivalent of comfy armchairs, does that make cloud-native modernization the equivalent of finally getting a new sofa with built-in USB ports? Asking for a friend who’s still rocking Windows XP.

    • That’s a fantastic analogy! It really highlights the blend of comfort and capability we often find ourselves weighing. Maybe cloud-native modernization is more like upgrading to a whole smart home – comfy sofa *and* the ability to control everything from your phone! What other everyday comparisons resonate with people facing this tech dilemma?

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

  6. The discussion of balancing maintenance costs against modernization benefits is key. Considering the environmental impact of running older, less efficient systems versus the energy expenditure of modernization efforts could further refine the economic analysis.

    • Great point about the environmental impact! It’s something often overlooked. Quantifying the energy consumption of legacy systems and comparing it to the carbon footprint of modernization (including manufacturing new hardware) would indeed add another valuable dimension to the economic analysis. Thanks for highlighting this!

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

  7. So, if legacy systems are the IT equivalent of that comfy but questionable armchair, are modernization strategies the equivalent of convincing yourself that paying for reupholstering is cheaper than buying a new one? Asking for a department still using dial-up.

    • That’s a great analogy! It really gets to the heart of the matter; it’s all about weighing comfort and costs against future benefits. If you’re still on dial-up, then the cloud might be like a warp-speed upgrade from that armchair to a spaceship captain’s chair! What are your top pain points with the current system?

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

  8. So, if legacy systems are like that dusty encyclopedia set still gathering dust on the shelf, are we saying AI/ML is the energetic librarian who can finally index it, or just another gadget promising to make it all magically relevant?

    • That’s a fun analogy! AI/ML as the energetic librarian… I like it! It’s definitely more than *just* a gadget. The key is to use it strategically for things like indexing and finding hidden patterns, rather than expecting it to magically rewrite history. The real magic is when the librarian and researcher (human) work together!

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

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