Launching Your Data Storage Project

Embarking on a major data storage project, it’s really like laying the cornerstone for a massive skyscraper, isn’t it? Every single detail, from the blueprint to the final touches, demands meticulous planning and precise execution. In today’s hyper-connected, data-saturated world, where information grows exponentially every second, you simply can’t afford to get this wrong. We’re talking about robust, resilient storage solutions that are not only infinitely scalable but also ironclad secure. Without that solid foundation, your whole digital infrastructure could come tumbling down, or at the very least, suffer some significant cracks.

1. Assess Your Data Storage Needs: The Crucial First Step

Before you even think about bits, bytes, or cloud providers, you absolutely must hit pause and conduct a thorough assessment of your organization’s unique requirements. This isn’t a minor detail; it’s the bedrock of your entire strategy. Ignoring this critical phase, well, it’s like building a house without knowing how many people will live in it, or what their habits are. So, what exactly should you consider? Let’s unpack it.

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Data Volume and Growth Projections

First up, get a firm grip on your current data landscape. How much raw data are you currently wrestling with? We’re talking about everything: structured databases, unstructured files, multimedia, IoT sensor readings, even those old spreadsheets everyone’s forgotten about. More importantly, what’s your anticipated growth rate over the next three, five, or even ten years? This isn’t a linear projection; consider new applications, potential acquisitions, or shifts in your business model that might suddenly unleash a torrent of new data. Are you diving into AI or machine learning, which are notoriously data-hungry? Is your marketing team planning more high-resolution video content? Each of these factors dramatically impacts future volume, and you’ll want to categorize your data too—think about its sensitivity, its value, and how long you truly need to keep it.

Access Patterns and Performance Requirements

Next, understand how your data will be accessed. Will it be hot data, accessed constantly and requiring lightning-fast retrieval? Or is it warm data, needed periodically but not immediately? Perhaps it’s cold or archival data, rarely touched but legally required to be retained for years, possibly decades. This distinction, often overlooked, directly influences the type of storage media you’ll choose—flash, spinning disk, or tape/cloud archive—and impacts your budget significantly. Think about the transactional workloads; do you need high IOPS (Input/Output Operations Per Second) for database queries, or high throughput for streaming large files? Latency, that tiny delay between a request and a response, can make or break user experience, especially for critical applications. You might find some of your users, perhaps, are incredibly impatient when things don’t load instantly.

Security, Compliance, and Data Sovereignty

This one, it’s non-negotiable. Data breaches aren’t just bad PR; they’re financially ruinous, leading to hefty fines and a catastrophic loss of customer trust. What industry regulations or standards must your organization scrupulously adhere to? Think GDPR, HIPAA, PCI DSS, SOX, CCPA, or country-specific data residency laws. These regulations dictate everything from how you encrypt data to where it can physically reside. Data sovereignty, for instance, requires data generated in one country to stay within its borders, which has huge implications for cloud storage choices. You’ll need to conduct a thorough risk assessment, identifying potential vulnerabilities and the sensitive nature of the information you hold. It’s a bit like guarding a treasure chest; you need to know exactly what’s inside, and who’s trying to get at it.

Budget Constraints and Total Cost of Ownership (TCO)

Ah, the elephant in the room: money. What financial resources are actually earmarked for this project? Don’t just think about the initial capital expenditure (CapEx) for hardware and software. Consider the operational expenditures (OpEx) that will follow: power, cooling, physical space, ongoing maintenance, software licenses, network bandwidth, and, critically, the human resources required to manage it all. Sometimes, a seemingly cheaper upfront solution ends up costing a fortune in the long run because of hidden maintenance or scaling fees. Always calculate the Total Cost of Ownership (TCO) over a five-year period; it often paints a very different picture. And be honest about your limits, won’t you?

Take the School District of Palm Beach County, for example, a truly expansive operation. With over 200 schools and nearly 250,000 students, they were drowning in a sea of data, struggling with an aging infrastructure that was both complex and inefficient. Their challenge wasn’t just storing data; it was making it accessible and performant for an enormous user base across a sprawling district. They needed a solution that could handle massive volumes of educational records, administrative data, and student information efficiently, without breaking the bank or requiring a massive IT team. By partnering with NetApp, they pulled off an incredible feat: migrating a staggering 1,000 virtual machines to a single, consolidated controller. This wasn’t just a technical win; it dramatically reduced their data center footprint from a unwieldy 12 racks down to just one. This consolidation not only improved application throughput—meaning faster access for teachers and students—but also profoundly streamlined data management, making their operations far more agile and cost-effective. A truly smart move, simplifying complexity.

2. Explore Storage Solutions: Navigating the Options

Once you’ve got that crystal-clear understanding of your needs, the next exciting phase begins: exploring the diverse universe of storage solutions. The options out there are vast, sometimes bewildering, but each has its own strengths and weaknesses. Choosing the right one is about aligning technical capabilities with your specific operational and financial realities. You wouldn’t use a bicycle to move a house, right?

On-Premises Storage: The Traditional Fortress

This is your classic approach: storage systems physically housed within your own organization’s facilities. Think direct-attached storage (DAS) for individual servers, network-attached storage (NAS) for file sharing across a network, or storage area networks (SAN) for high-performance, block-level access to databases and virtualized environments. The big pros here are absolute control over your data, potentially lower latency for demanding applications, and often a clearer sense of security for highly sensitive or regulated information, since it never leaves your physical perimeter. However, the cons are significant: high upfront capital expenditures for hardware, the ongoing costs of power, cooling, space, and maintenance, and the inherent scalability limitations. You’re responsible for everything, from patching software to replacing failed drives. It’s a lot to manage, and it can feel like a heavy anchor sometimes.

Cloud Storage: The Elastic Frontier

Moving to the other end of the spectrum, cloud storage involves off-site storage managed by third-party providers like AWS, Azure, or Google Cloud. The allure is strong: immense scalability, often pay-as-you-go pricing (OpEx), and incredible flexibility. You can spin up terabytes or petabytes of storage in minutes, without purchasing a single piece of hardware. Cloud storage comes in various flavors: object storage (like S3 for vast amounts of unstructured data), block storage (like EBS for virtual machines), and file storage (like EFS for shared file systems). While the flexibility is fantastic, you need to watch out for unpredictable costs, especially egress fees for moving data out of the cloud, and potential vendor lock-in. Latency can also be a concern for applications requiring ultra-low response times, and trusting a third party with your crown jewels requires robust security agreements. It’s liberating, yes, but not without its own set of challenges.

Hybrid Solutions: The Best of Both Worlds?

For many organizations, the sweet spot lies in a hybrid approach—a strategic combination of on-premises and cloud storage. This model aims to balance the control and security of on-prem with the scalability and flexibility of the cloud. You might keep highly sensitive or frequently accessed data on-prem, while leveraging the cloud for archival, disaster recovery, or burst capacity during peak times. Hybrid solutions often involve sophisticated data tiering, automatically moving data between environments based on access patterns or age. It demands a robust network connection between your data center and the cloud provider, and a careful strategy for data synchronization and management. It’s a complex dance, but when executed well, it can provide significant strategic advantages.

Software-Defined Storage (SDS) and Hyper-Converged Infrastructure (HCI)

Beyond these fundamental categories, two other architectural trends deserve a mention. Software-Defined Storage (SDS) decouples the storage software from the underlying hardware, allowing you to use commodity hardware while still benefiting from advanced features like deduplication, compression, and replication. This offers immense flexibility and cost savings. Hyper-Converged Infrastructure (HCI) takes this a step further, integrating compute, storage, and networking into a single, highly virtualized system. HCI simplifies management, reduces your data center footprint, and can be incredibly powerful for virtualized environments, though scaling individual components can sometimes be less granular. These innovations truly redefine what’s possible in modern data centers.

Westmont College, a well-respected liberal arts institution, offers a fantastic real-world example of embracing hybrid. They weren’t looking to completely abandon their on-premises setup overnight, but recognized the profound benefits of cloud services to enhance their technological offerings for students and faculty. Instead of just jumping in blindly, they strategically migrated nearly 20 key applications, including critical email and calendar services, to the cloud. This wasn’t merely about shifting data; it was a move designed to reduce the often-unseen costs associated with maintaining extensive on-premises storage infrastructure—things like power consumption, cooling, and the sheer human effort involved. The result? Improved accessibility for students and faculty, who could now access their tools from anywhere, anytime, with greater reliability. It’s a testament to how a thoughtful, phased cloud adoption can genuinely transform an institution’s operational efficiency and user experience.

3. Plan for Scalability and Future Growth: Preparing for the Tsunami

Data isn’t some static, unchanging monolith. It’s alive. It grows, evolves, and sometimes, mercifully, even shrinks a little. Ignoring this dynamic nature is a recipe for disaster, leading to performance bottlenecks, spiraling costs, and a constant scramble to keep up. So, how do you ensure your chosen solution can gracefully scale with the inevitable tide of information?

Elastic Storage: The Art of Flexing

Your chosen storage solution simply must be elastic. This means it can seamlessly and rapidly increase or decrease storage capacity based on actual demand, without major downtime or manual intervention. Cloud-native solutions inherently offer this elasticity, allowing you to provision new storage volumes or buckets with a few clicks or API calls. On-premises, achieving true elasticity often involves sophisticated software-defined storage (SDS) solutions or carefully planned scale-out architectures that allow you to add storage nodes incrementally. Think about auto-scaling groups in the cloud—a truly elegant way to manage fluctuating needs. If your system can’t expand easily, you’ll be constantly hitting limits, causing disruptions and frustration.

Performance Optimization: Keeping Things Zippy

As your data volumes swell, a common pitfall is the corresponding slowdown in access times. This isn’t just annoying; it impacts productivity and user satisfaction. To maintain peak performance, you’ll need to implement intelligent caching mechanisms, which store frequently accessed data in faster, closer storage tiers. Think of it as a quick-access pantry for your most-used ingredients. Similarly, tiered storage—automatically moving data between high-performance flash (for hot data), slower but larger HDDs (for warm data), and even tape or cloud archives (for cold data)—is absolutely essential. Data deduplication and compression technologies also play a crucial role, reducing the physical storage footprint and thus improving effective performance and lowering costs. You also need to consider load balancing for distributed data, ensuring no single storage component becomes a bottleneck. It’s a delicate balancing act, like conducting an orchestra, where every instrument must play its part perfectly.

Predicting Growth and Data Governance

Effective scalability isn’t just reactive; it’s proactive. You need robust tools and methodologies for forecasting data growth, often leveraging historical trends and business projections. Don’t just guess; use data analytics to anticipate future needs. Crucially, don’t overlook data governance and quality. Unstructured, duplicated, or ‘dark data’ can inflate your storage needs unnecessarily and complicate scalability efforts. Implementing policies for data classification, retention, and deletion ensures you’re only storing what you truly need, and that it’s organized for efficient access and scaling. It’s like clearing out your attic periodically; you wouldn’t want to store decades of forgotten junk, would you?

The City of Tyler, Texas, faced a compelling need to enhance real-time threat detection for public safety, a truly mission-critical application. This wasn’t just about storing static data; it was about rapidly processing incoming streams from various sources—surveillance, sensors, communication logs—to identify patterns and potential dangers instantly. Their existing infrastructure simply couldn’t keep pace with the velocity and volume of this data. By implementing IBM’s sophisticated cloud storage solutions, they weren’t just adopting cloud; they were strategically building a hybrid multi-cloud infrastructure. This allowed them to dynamically scale their data access and processing capabilities, ensuring that as their data needs expanded—and they certainly did—the system remained responsive and effective. It gave their public safety teams the agility and analytical power they needed, demonstrating that scalability isn’t just about capacity, but about the ability to grow computational power alongside your data.

4. Implement Robust Security Measures: Your Digital Fort Knox

In the realm of data, security isn’t merely a feature; it’s a fundamental requirement. Data breaches are not just costly in terms of financial penalties and operational disruption, but they can utterly decimate an organization’s reputation. Prioritizing security isn’t an option; it’s an imperative. You must treat your data like the priceless asset it is.

Data Encryption: The Digital Lockbox

Ensure your data is encrypted at every stage: both at rest (when it’s stored on disks or in the cloud) and in transit (as it moves across networks). Encryption at rest means if unauthorized individuals gain physical access to your storage, the data remains unreadable. Technologies like Full Disk Encryption (FDE) or Transparent Data Encryption (TDE) for databases are critical. For data in transit, secure protocols like SSL/TLS for web traffic, or VPNs for network connections, create secure tunnels. But remember, encryption is only as strong as its key management. A robust key management system (KMS) is absolutely vital; without it, even the strongest encryption can be undone. It’s like having a high-security safe but leaving the key under the doormat.

Access Controls: Who Gets the Keys?

Implement stringent access policies to restrict data access exclusively to authorized personnel. This means embracing the principle of least privilege, where users only have the minimum necessary access to perform their job functions—no more, no less. Role-Based Access Control (RBAC) is your friend here, assigning permissions based on roles rather than individual users. Multi-Factor Authentication (MFA) should be mandatory for all access points, adding an extra layer of security beyond just a password. Consider strong password policies, regular password rotations, and account lockout mechanisms for failed login attempts. Auditing access logs is also crucial, enabling you to detect unusual activity quickly.

Regular Audits and Proactive Defense

Security isn’t a one-and-done deal. You must conduct periodic security assessments, including penetration testing (simulated attacks to find vulnerabilities), vulnerability scanning, and compliance audits to ensure ongoing adherence to regulations. Continuous monitoring of logs and system activity is paramount for early detection of suspicious behavior. Beyond that, consider immutable storage, sometimes called Write Once Read Many (WORM) storage. This creates data copies that cannot be altered or deleted, offering powerful protection against ransomware attacks. Data Loss Prevention (DLP) tools are also invaluable, helping you identify and block the exfiltration of sensitive data, whether accidental or malicious. And don’t forget vendor security assessments; when choosing any third-party provider, their security posture is directly relevant to yours.

Finance Corp, a prominent financial institution that manages incredibly sensitive customer information, perfectly understood the imperative of safeguarding their data. They couldn’t afford a single misstep. Recognizing this, they didn’t just dabble in security; they committed fully. By adopting a cutting-edge, encrypted data storage solution coupled with advanced access controls, they fundamentally elevated their data security posture. This wasn’t just about satisfying a checklist; it was about ensuring that every piece of sensitive customer information, from account details to transaction histories, was shielded from unauthorized access. As a direct result, they not only significantly enhanced data security but also seamlessly met stringent regulatory compliance requirements, solidifying their reputation as a trustworthy financial partner. It really underscores how critical robust security is in high-stakes industries.

5. Ensure Data Availability and Disaster Recovery: Keeping the Lights On

Downtime, whatever its cause, can bring your operations to a screeching halt, eroding customer trust faster than you can say ‘data loss.’ Maintaining continuous access to your critical data, even in the face of unexpected events, isn’t just good practice; it’s essential for business continuity. It’s about building resilience, making sure your ship can weather any storm.

Redundancy: The Safety Net

At its core, availability boils down to redundancy. Store multiple copies of your critical data in different locations. This could mean RAID configurations within a single server for disk failure protection, data replication (synchronous for immediate consistency, asynchronous for geographic separation), or even geo-replication across distant data centers. High availability (HA) clusters ensure that if one component fails, another immediately takes over, preventing service interruption. Think of it like having multiple backup generators, ready to kick in the instant the main power goes out. The goal is to eliminate single points of failure throughout your entire data path.

Backup Strategies: Your Digital Time Machine

Beyond redundancy, robust backup strategies are paramount. You’ll want to implement regular backup schedules—full, incremental, or differential—depending on your data change rates and recovery objectives. The ‘3-2-1 rule’ is a widely accepted best practice: keep at least three copies of your data, on two different media types, with one copy stored offsite. Offsite backups are crucial for protecting against site-wide disasters like fires or floods. And don’t just back up; regularly test your recovery procedures! A backup is useless if you can’t restore from it when needed. Immutable backups, which prevent any alteration or deletion, offer a powerful defense against ransomware, ensuring your recovery points remain uncorrupted.

Disaster Recovery Planning: The Unbreakable Blueprint

Develop and regularly update a comprehensive disaster recovery (DR) plan. This plan should clearly define your Recovery Time Objective (RTO)—how quickly you need to restore service—and your Recovery Point Objective (RPO)—how much data loss you can tolerate. These metrics drive the choice of DR technologies and strategies. Consider Disaster Recovery as a Service (DRaaS), which leverages cloud infrastructure to provide a cost-effective and scalable DR solution. Your DR plan isn’t just a document; it’s a living guide. Conduct regular, realistic disaster recovery drills, involving all relevant teams, to identify gaps and refine your procedures. This ties directly into your broader Business Continuity Plan (BCP), ensuring your entire organization can continue functioning even in adverse conditions. And don’t forget network resiliency; your data might be safe, but if the network connection to it fails, it’s effectively unavailable.

The Department of Justice’s Environment and Natural Resources Division faced immense challenges managing the vast and complex data involved in their legal cases. Imagine the sheer volume of documents, evidence, and research—each piece critical to a legal outcome. Their existing infrastructure made data accessibility and security a constant headache, hindering their ability to effectively build and prosecute cases. By transitioning to a cloud-based, software-defined storage solution, they weren’t just moving files; they were transforming their operational backbone. This move dramatically improved data accessibility for their legal teams, ensuring that critical information was always available when and where it was needed, regardless of location. Simultaneously, the cloud environment, when properly configured, enhanced data security, providing the robust protection required for sensitive legal documents. It’s a clear illustration of how strategic storage decisions directly impact the efficiency and success of mission-critical operations.

6. Monitor and Optimize Performance: The Ongoing Tune-Up

Putting your storage solution in place isn’t the finish line; it’s merely the starting gun. Continuous monitoring and optimization are absolutely essential to ensure your system performs efficiently, cost-effectively, and meets the evolving demands of your organization. Think of it as a finely tuned engine that needs regular maintenance.

Performance Metrics: Your Dashboard Readings

Keep a vigilant eye on key performance metrics. Track access times, throughput (data transfer rates), and latency across all your storage tiers. Identify bottlenecks before they impact users. Are your IOPS hitting their limits during peak hours? Is network bandwidth becoming a constraint? Monitor capacity utilization—are you over-provisioning or running dangerously low on space? Pay attention to the CPU and memory usage of your storage systems themselves. Implement alerting thresholds so you’re notified immediately when performance deviates from baselines. Good monitoring tools provide the insights you need to proactively address issues and prevent crises. You wouldn’t drive a car without a dashboard, would you?

Cost Analysis: Uncovering Hidden Expenses

Regularly review your storage costs. This is particularly crucial for cloud environments where expenses can fluctuate based on usage, egress fees (data moving out of the cloud), and API calls. Are you paying for storage you’re not actively using? Can you rightsize your volumes? Cloud cost optimization tools can be invaluable here, identifying idle resources or opportunities for more cost-effective storage tiers. On-premises, analyze your power, cooling, and maintenance expenditures. Sometimes, simply consolidating older hardware can yield significant savings. Cost optimization isn’t about being cheap; it’s about being smart and ensuring your investment delivers maximum value.

User Feedback and Automation

Don’t forget the human element. Actively engage with end-users to gather insights on performance and areas for improvement. Are they experiencing slow application load times? Are file transfers taking too long? Their qualitative feedback, combined with your quantitative metrics, paints a complete picture. Furthermore, embrace automation. Scripting routine tasks like capacity alerts, data tiering, or even basic troubleshooting can free up your IT team for more strategic initiatives. Capacity planning, based on predictive analytics and user demand, ensures you’re always a step ahead, preventing reactive scrambles for more storage. It’s about working smarter, not harder.

UZ Leuven, Belgium’s largest healthcare provider, faced a truly monumental task: handling exponential data growth in a critical environment where every second counts for patient care. They weren’t just adding data; they were adding nearly 1PB of data annually, a staggering amount that could easily cripple a lesser system. Their challenge was ensuring seamless, high-performance access to patient records, medical images, and research data across various departments and applications, all while growing at an incredible pace. By implementing NetApp’s All Flash FAS (Flash Array System) and ONTAP data management software, they gained the ability to absorb this immense growth without any compromise to performance. This powerful combination allowed them to maintain incredibly efficient access to patient data, supporting everything from diagnostics to administrative tasks, ensuring that healthcare professionals had the information they needed, precisely when they needed it. It’s a superb example of how strategic investment in high-performance storage enables mission-critical operations to scale effortlessly.

7. Stay Informed and Adapt: The Never-Ending Journey

The data storage landscape is anything but static. It’s a vibrant, constantly evolving ecosystem, with new technologies, best practices, and threats emerging all the time. To ensure your storage solution remains effective, secure, and future-proof, you absolutely must commit to continuous learning and adaptation.

Industry Trends: Peering into the Future

Keep a keen eye on emerging industry trends. Are you aware of the latest advancements in NVMe over Fabrics, offering incredibly low-latency storage networking? What about persistent memory, bridging the gap between RAM and traditional storage? Edge computing is generating massive amounts of data at the periphery, necessitating new localized storage solutions. Even quantum storage, though nascent, is on the horizon, promising unimaginable capacities. Concepts like data fabrics, which create a unified, intelligent layer over distributed data, are gaining traction. Understanding these trends helps you make informed decisions about future investments and upgrades. You wouldn’t want to be caught flat-footed, would you?

Training and Development: Sharpening the Saw

Invest in ongoing training and development for your IT team. The tools and techniques of storage management are constantly changing, and a skilled team is your greatest asset. This could mean certifications in specific vendor technologies, workshops on cloud security, or conferences focused on data management best practices. Knowledge is power, and keeping your team’s skills current ensures they can effectively manage and optimize your complex storage infrastructure. A well-trained team can spot issues before they become problems and proactively implement improvements.

Community Engagement and Regular Reviews

Participate in professional forums, LinkedIn groups, and industry conferences. Share your experiences, learn from your peers, and discover innovative solutions to common challenges. The collective wisdom of the community is an invaluable resource. Finally, establish regular review cycles—perhaps annually or biannually—for your entire data storage strategy. Are your initial assumptions still valid? Have your business needs shifted? Are there new technologies that could offer significant advantages? Building strong vendor relationships also helps; they can be invaluable partners in navigating this complex space, offering insights into their roadmaps and helping you plan. Remember, flexibility and a willingness to adapt are key to long-term success.

Consider the ambitious vision of Cerabyte, a Munich-based startup. They’re pioneering a truly revolutionary ceramic-based data storage technology. Instead of traditional magnetic or flash, they’re using femtosecond lasers to etch data onto incredibly durable ceramic layers encased within glass tablets. Their audacious goal? To build racks capable of storing over 100 petabytes by 2030, a density that dwarfs current technologies. While this technology is still firmly in development and might take decades to fill up such a massive capacity, it vividly illustrates how quickly the storage landscape can transform. Staying informed about these ‘moonshot’ projects, even if they’re years away, helps you appreciate the pace of innovation and reminds you that what seems impossible today could be commonplace tomorrow. It’s genuinely inspiring to see what’s on the horizon.

Embarking on a comprehensive data storage project is, undeniably, a significant undertaking, one that demands careful consideration at every turn. But with meticulous planning, thoughtful execution, and a commitment to ongoing adaptation, it can truly transform your organization. It leads directly to enhanced operational efficiency, robust data security, and the peace of mind that comes from knowing your most valuable asset—your data—is managed with foresight and expertise. By learning from real-world successes, embracing best practices, and staying keenly informed about technological advancements, you won’t just navigate the complexities of data storage; you’ll master them, implementing a solution that not only meets your organization’s immediate needs but also positions it for sustainable future growth.

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4 Comments

  1. Laying the cornerstone is vital, but what about the penthouse amenities? Data lakes are nice, but can you offer a data jacuzzi with AI-powered rubber duckies? Asking for a friend whose digital infrastructure craves the finer things.

    • Haha, love the data jacuzzi analogy! It really highlights the need for user-friendly data access and analytics tools. While foundational storage is key, making the data enjoyable and insightful with ‘AI rubber duckies’ is what drives adoption and ROI. Perhaps future articles could explore innovative user interfaces and data visualization techniques! What are your thoughts?

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  2. Love the skyscraper analogy! Makes me wonder, are we also thinking about the interior design? Scalability is great, but let’s not forget the importance of intuitive data access for the end-users. After all, a beautiful skyscraper is useless if you can’t find the elevator! What considerations are there for front-end user experience?

    • Thanks for bringing up the crucial point about user experience! It’s like building a stunning skyscraper with a confusing, maze-like interior. We definitely need to consider intuitive front-end data access. User-friendly interfaces and data visualization techniques are critical for adoption and ROI. This is a topic for future discussion!

      Editor: StorageTech.News

      Thank you to our Sponsor Esdebe

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