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Tags: Cloud Services
Author: 11:11 Systems
Date: October 26, 2017

Navigating the Maze of Public Cloud Pricing

mazeWhen looking at migrating to the public cloud, or starting from fresh in there, many customers find the array of pricing models mind boggling.

The hyper scale public cloud providers such as AWS and Azure use the idea of instance or t-shirt sizes for their virtual machines. There is a massive range of alternatives depending on the CPU type, number of CPUs, RAM, the number of virtual disks that can be attached, whether they have GPU acceleration, etc.

Typically, these are all priced on a pay as you go or on-demand basis, where you are billed by the hour for the particular t-shirt size. Persistent storage is normally billed separately, unless you are using ephemeral VMs, where the storage associated with the VM is not persistent, and effectively disappears when the VM is turned off. In some cases, even with persistent storage, a virtual disk is often shown in a VM which is ephemeral and is used for caching or temporary space while the machine is running.

Customers can save money by turning off VMs at night and weekends, if it makes sense to do so.
As well as the standard pricing models, other models have appeared recently:

  • Reserved pricing – You agree to use the VMs 24/7 for a 1 or 3-year period. Large discounts are available, but you are paying for the VM regardless of whether you use it or not.
  • Convertible reserved pricing – The same as above, but allows you to sell time slots for your reserved instance that you don’t need on a marketplace.
  • Spot pricing – You bid for the maximum price you are prepared to pay for a VM. Depending on spare capacity, your VM will be powered on when your spot price is reached, and powered off again when your spot price is not high enough. Might be useful for batch processing requirements.

With iland secure cloud services, we try to keep things really simple and transparent. We offer three billing models:resource bucket

  • Pay As You Go. Measure your actual usage of CPU, RAM and storage by the minute and then summarizing by the hour. Unlike the hyper scale public clouds, we do not mandate t-shirt sizes, customers can provision any size VM (up to some maximums), and can change the specifications whenever they like, even on the fly. A virtual machine may have up to 60 virtual disks, and up to 10 network interfaces, irrespective of the number of CPUs.
  • Reservation pool. In this model, customers can reserve a ‘bucket of resources’; CPU, RAM, storage and internet, which is billed for per month at a reduced rate when compared to PAYG. A further benefit is that the resources are guaranteed to be available, and are not contented. When a reservation pool is full, it will not be possible to start any more VMs. Further discounts are available when committing to multiple year deals.
  • The third model is to provide an amalgam of the two – a reservation pool with the ability to burst into extra PAYG resources as needed.
  • With both of the last two models, it is possible to increase the reservation pool size through a call to the support team.

Given that most VMs do not run maxed out all the time, these billing models provide very cost-effective options when compared to the hyper scale providers.

Categories: Hyperscale Clouds, IaaSBy 11:11 SystemsOctober 26, 2017
Tags: Cloud Services
11:11 Systems

Author: 11:11 Systems

11:11 Systems (“11:11”) is a managed infrastructure solutions provider that holistically addresses the challenges of next-generation managed cloud, connectivity and security requirements. 11:11 combines the teams and technology behind market leading, analyst vetted companies like Green Cloud Defense and iland to deliver increased performance, optimization and savings.

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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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Choose this route if predictable costs, expert management, and stronger security matter more to you than running everything yourself. How can 11:11 Systems help? 11:11 Systems is a global cloud service provider of secure and compliant hosting for infrastructure (IaaS), disaster recovery (DRaaS), and backup as a service (BaaS). 11:11 Cloud Backup delivers integrated, secure, and cost-effective protection for on-premises and cloud data, including Microsoft 365 data, so critical business data gets back online quickly after a loss event. With multiple layers of defense, including security, cloud backup, and air-gapped Insider Protection, 11:11 Secure Cloud Backup helps organizations remove single points of failure. That minimizes both the time and the business impact of data loss. It's an easy, cost-effective cloud solution for all your offsite backup and archiving needs. Back to that overstuffed closet. 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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