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Tags: Disaster Recovery
Author: Sarah Doherty
Date: September 10, 2020

Remember – Not All Workloads Are Created Equal

Choosing a Disaster-recovery-­as-­a-­Service (DRaaS) provider can be an overwhelming task, especially if your organization is using DRaaS as a first step into cloud services. There are many solutions to choose from including large providers like Google, Amazon, and Microsoft, and also smaller or more focused providers.

The decision to work with a cloud provider for DRaaS can be clearly defined by classifying your requirements and confirming that the provider that you choose completely meets those requirements. Large cloud service providers, or “hyperscalers,” may seem like the best choice for your cloud needs. However, choosing a provider based solely on the size of the organization is not always the best criteria. For example, choosing smaller cloud providers means more individual attention and more customized services. Doing your due diligence while investigating all of your options can benefit you in the following ways.

Part of any analysis needs to recognize that not all application workloads are created equal. Each will have its own requirements and business value. They need different resources, and have varying levels of importance and impact to your organization. This part of your research is an important consideration when you’re planning data protection and disaster recovery (DR) solutions.

For data protection, you could treat all your workloads in the same way and apply identical policies. Although, it is important to remember that a “one size fits all” approach isn’t the most effective or economical. With this type of thinking, you may end up overspending for what you want in order to achieve the highest standard of protection to everything, or you’ll end up with less coverage than is ideal for your most critical workloads.

To find the best data protection strategy for individual workloads, consider each one and its importance to your organization. Also, be sure to consider the resource requirements for different workload types. In the end, think about which part of data protection will give you the best coverage for the lowest cost.

Data protection is generally split into three different strategies: disaster recovery, backups, and archives. Disaster recovery involves keeping two identical copies of a workload running at the same time. If there’s an issue with the production copy, the workload quickly and seamlessly fails over to the disaster recovery infrastructure.

Disaster recovery primarily focuses on Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs). RTO is the measure of time that it takes to get a workload back online, while RPOs measure the age of the data in a backup or disaster recovery copy.

A major question for determining your organization’s RTO tolerance is: “How long can this workload be offline before it creates a major problem for the business?” It is common to think that the only way to think about disaster recovery is to ask “How quickly can I get this environment back up and running?”, but not all applications are equal, budgets are not unlimited, and disaster recovery planning usually prompts the business to determine which applications are critical to the success of the business. In addition, IT organizations need to be concerned about application unavailability creating employee work stoppages or irritable executive management. These types of concerns will determine which workloads are required to use which type of disaster recovery product to guarantee high availability in the case of an outage.

A backup strategy needs to be considered next. Copies of data need to exist in at least two locations at a minimum. This is essential in the event of a ransomware attack or a catastrophic human error that deletes vital data. Workloads with frequent changes will need to be backed up more often than others. Your CRM software may need to be backed up multiple times per day while a web server for mostly static web pages might be backed up less frequently. The discussion around RPOs as part of the overall data protection strategy would be discussed around the above-mentioned scenarios. The key questions for your RPO needs would include: How much data can you afford to lose? How much would be lost if you needed to restore from an image taken three hours ago versus three days ago? The ideal RPO would be near zero and can be achieved with different backup schedules for different workloads.

The data that is frequently used and changed on a daily basis needs to be copied and retrieved often so that it can be brought back with as little loss as possible in the event of any type of failure or disaster. On the other hand, the files from last year’s marketing campaign are unlikely to change often, and can be put on a less frequent backup schedule. The priority here is whether your workload involves a lot of writes (changes) or is mostly read-only. These scenarios will help you decide on backup schedules that make sense and also save you money while still protecting your business-critical data.

Backups and disaster recovery are closely related. RTO and RPO questions and calculations are not entirely united, and discussions about requirements for one often affect requirements for the other.

The last piece of the overall data protection solution is archiving. Some data must be kept for legal and other compliance reasons, but infrequently needed and may only be required in an audit. In order to decide which data to archive, it is important to determine whether the data will ever be looked at again. If it is decided that it will not, then this data doesn’t need to take up resources in the production data center. Although, if requested, you will need to be able to get it back within a reasonable time. Tapes are still used by some organizations; however, tapes can be difficult to restore data from when it is time to get that data quickly. A better solution might be to put your archive data in low-cost cloud storage like object storage which will still make it easy to recover any of that data that is needed.

11:11 has solutions to help with each piece of the data protection solution. Disaster recovery requires the right kind of services to meet a variety of needs and 11:11 offers an award-winning Vmware-based DR solution. 11:11 partners with many data protection vendors, including Veeam and Zerto, to provide both backups and disaster recovery approaches that can meet any combination of RTOs and RPOs that are required. In the end, choosing the right partner for your DRaaS needs is critical and 11:11 provides best-in-class onboarding, integration, and support to meet the needs of any organization.

Category: DRaaSBy Sarah DohertySeptember 10, 2020
Tags: Disaster Recovery

Author: Sarah Doherty

Sarah Doherty worked on the 11:11 Systems product marketing team.

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Quick answer: Data is growing faster than most organizations can store or protect it. Falling hardware costs, abundant bandwidth, paperless workflows, and regulatory mandates all fuel this surge. To keep critical data safe and recoverable, many organizations now outsource backup to specialists like 11:11 Systems, which delivers secure, compliant, cost-effective cloud backup. Picture a closet you keep stuffing with all kinds of clutter. You add a few things each week, then a few each day, until the door barely shuts. Now imagine that closet doubles in size every couple of years, on its own. That's roughly what's happening to corporate data, and your backup strategy is the closet trying to hold it all. Knowing why data is growing so fast and the challenges that growth creates for IT teams is part of the ongoing battle. Perhaps an immediate solution is already at your fingertips? Why is corporate data growing so fast? Data is expanding at a rate that's hard to picture. According to Cybercrime Magazine, the world created, captured, and replicated over 200 zettabytes of data in 2025, up from about 64.2 zettabytes in 2020. That's nearly a threefold jump in five years. Here's the catch many people miss: backup data is one of the biggest culprits behind that growth. Every copy, snapshot, and archive adds to the total. Worldwide data production has outpaced worldwide storage capacity, and the gap between what organizations create and what they can store keeps widening. A few years ago, IT teams mostly worried about data protection, encryption, and automation. The picture looks different now. Today, organizations are demanding: • Continuous data protection • Security and compliance • Bare metal recovery (restoring entire servers, including OS, files, and configurations) • Archiving • Deduplication • Reduced backup windows • Faster recovery speeds What's driving the explosion in data growth? Several trends are accelerating the rate at which corporate data piles up. Here are the five main culprits most organizations struggle with. 1. Cheaper hardware This is the obvious starting point. Storage capacity keeps getting cheaper per gigabyte, so there's little incentive to delete anything. When storage feels nearly free, organizations simply keep more of everything. 2. Cheap and abundant bandwidth Internet bandwidth is no longer the bottleneck it once was. That shift fueled the explosion of streaming media, file sharing, and online storage. It also created a duplication problem. If one person shares a 1GB file with 500 colleagues, that's half a terabyte of storage consumed in a single click. Multiply that across an enterprise, and duplicate data becomes a major source of waste. 3. Business is going paperless Email replaced letters. eBooks and tablets nearly replaced printed books. Digital imaging replaced photographs and x-rays. Paperless offices are better for the environment, and they're also more productive, more flexible, and better at extracting value from business data. The trade-off: every digital document is one more thing to store and protect. 4. The growing strategic importance of data Data used to be a tool that supported decisions. Now it sits at the center of corporate strategy. Companies like Google and Meta built their entire business models around the data they own. Information is power, and that power keeps growing, which means organizations hold on to far more of it. 5. Regulatory compliance Even organizations that want to store less often can't. Regulations like HIPAA and GDPR require companies to retain historical archives for years. As those archives grow, storage becomes a serious business problem. Organizations also need fast, cost-efficient search and retrieval to stay ready for an unexpected e-discovery request. What are the ways organizations lose data? As data grows in volume, its value grows too. Consider it a type of currency that has tremendous value both internally and externally. That makes protecting it more important than ever. And there's no shortage of ways to lose it. Cyberattacks of course are now the leading threat. Ransomware attacks remain a top concern, with the average ransomware event costs climbing into $5.1 million (cost includes ransom payments, recovery costs, and indirect costs like loss of trust and reputational damage). Numerous industry reports including a recent study by Infrascale, highlight the most prevalent way organizations lose data. This includes, but certainly is not limited to the following: • Hardware failure: a crashed laptop, server, or mobile device can render files unrecoverable. • Theft: business break-ins still happen, and stolen devices are rarely recovered. • Human error: data gets accidentally deleted or deliberately wiped by a disgruntled employee. 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You can keep cramming clutter in and hope the door holds, or you can bring in a decluttering specialist to help you organize and build a bigger, smarter, safer space that grows as you do. In the same way 11:11 Systems can be that professional home organizer that helps with your growing data. With the right backup strategy, data growth stops being a threat and starts being an asset.
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