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VersaTrust has been serving the Texas area since 1997 , providing IT Support such as technical helpdesk support, computer support and consulting to small and medium-sized businesses.

Guide to large-scale AWS cloud migration

We’ll just go ahead and say it: cloud migration is a smart business move and we highly recommended it. The potential for greater efficiency, more manageable storage capacity, and cost savings are all but guaranteed. Virtualization, however, is not a walk in the clouds. It often involves a complex process that requires time and money, so if you’re considering a large-scale migration to Amazon Web Services, read on to be prepared.

Preparation for migration

  • Is everyone within the organization on board with this major move? Are your employees adequately equipped with knowledge about the cloud? And, since large-scale transfers involve big data, would your security framework be able to deal with potential security threats during the transition? Can your company handle the inevitable expenditure that goes with investing in the cloud? These are just some of the points you have to consider when preparing for large-scale migration.

Reasons for migration

  • One of the most compelling reasons to virtualize tech capital is the need to meet your business’s increasing demand for efficiency, which could lead to greater profitability. Other reasons could include change of organizational leadership or a shift in business structure that necessitates storage recalibration. Regardless of your reasons for migrating to the cloud, you as a business owner should have a clear understanding of why you’re doing it, and make sure everyone understands why it is so important.

Size of resources to be moved

  • Using Amazon Web Services’ cloud storage gives you the benefit of eliminating the costs of buying your own storage infrastructure and it introduces an element of anywhere-anytime access to your business’s data and/or applications. That said, you must consider how much you’ll be transferring, and use it as your basis for moving. Knowing the amount of IT resources you’re freeing up lets you allocate more cost-effectively and allows your technology staff to focus on more innovative pursuits.

Migration requirements

  • Which specific data, servers, or applications need to be migrated? Does your company need large-scale migration, or can it survive on moving only a small part of your resources to the cloud? Perhaps, a subsidiary could survive without having to be moved to the cloud. When migrating to the cloud, you’d be remiss not to think of these tiny details.

Impact to the business

  • Temporary downtime is something you have to be ready for. You might need more time or you might need to consider alternatives for the brief interruptions that come with migration, and of course budget can be a major factor in your decision to move. You can save your business from unnecessary obstacles by first assessing its ability to handle these situations.
Recalibrating the management of your technological resources for scalable storage solutions in a cost-saving platform is not without its challenges. Your business and its stakeholders’ call for greater efficiency cannot be ignored. After considering these factors for a large-scale migration, you might realize that despite a few minor bumps, the benefits to your organization will far outweigh the projected costs, and that there’s nowhere to go but up (in the cloud).
Published with permission from TechAdvisory.org. Source.

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AWS to launch “Glue” service

Many businesses and enterprises have long struggled with the drudgery and difficulty that is data analysis -- especially data analysis in a cloud-based system. AWS (Amazon Web Services) may have just the solution to that problem. A new app, known as “Glue,” offers the opportunity for businesses to clean up data to help analytics run more smoothly. Learn more about how AWS accomplishes this, right here.

Data analysis can be an extremely profitable arm of your business, if undertaken carefully. Much of what people consider to be data analysis for a business is actually just digital clerical work, which makes the process even more frustrating and time-consuming than it needs to be. At its core, AWS’s Glue is an app that automates this tedium, which is often referred to as ETL (extract-transform-load).

Third-party software already exists to help with this task, but the service from AWS is one of the first cloud-based alternatives to come to market. Glue is designed to work with businesses that have their own on-premises data centers and infrastructures in addition to working with AWS frameworks. In fact, if a business makes changes to on-premises data, Glue can be set up to trigger jobs and update the data in the cloud so users always have access to the most up-to-date information for use and analysis.

Essentially, AWS extracts various types of data from a wide array of sources and analyzes it, ultimately homogenizing the data to fit the business's existing database. This eliminates a great deal of work because the extremely tedious task of importing data is often done by hand. Handing this burden over to AWS allows businesses to focus on the real analysis work; saving effort, time, and money in the process.

Every day, data becomes more and more integral to building a successful company. And with such a heavy burden placed on this facet of business, falling behind on the technology that makes it possible is an expensive mistake. If you’re hosting large amounts of data on-premises or in an AWS database, contact us today about how you can eliminate costly ETL processes.

Published with permission from TechAdvisory.org. Source.

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Amazon Web Services’ simpler data migration

Any business owner who has taken the time to truly understand how virtualization works knows that the final product is invaluable. But since nothing worth doing is ever easy, there are a lot of things that might scare SMBs away from making the leap. Amazon Web Services is working tirelessly to make that leap a lot easier and less frightening with their Data Migration Service. Let’s take a look at the latest development.

As a quick review, virtualization is best imagined by visualizing your server as a house. When a user draws computing power from your server, it’s a lot like opening the front door and just telling anyone to come in and grab whatever they need. The house gets crowded and messy quickly. Virtualization allows you to create doorways into partitioned rooms, with specifications and permissions unique to the user or application that needs them.

Much like the house in our analogy, the hardware and upkeep of servers can become quite expensive. By taking virtualization one step further, Amazon Web Services (AWS) has created the equivalent of a gigantic apartment building, online. When renting these internet-based apartments, your SMB is presented with virtualized versions of your server and desktops. You realize huge cost savings by eliminating upfront capital expenditures on hardware, and the rooms and their contents can be modified and adapted with little more than a simple request to AWS.

So you’re ready to migrate your server and clients to a virtualized environment, but after hiring experts you’re informed they will need days -- possibly weeks -- of server downtime to move your data from on-site storage to AWS. This service interruption has long been a massive speed bump in cloud migration projects. With Amazon’s Data Migration Service (DMS), that server downtime can be reduced to as little as 10-15 minutes.

This significantly reduced downtime is achieved by keeping your database live during the migration process. The final product can be stored in one of AWS’s several regional datacenters, or even copied back to your on-site server for concerns about redundancy and continuity.

Another speed bump along the road to your new virtualized home is moving from one database schema to another. Imagine the front door of your original, one-bedroom house is shaped like a triangle. But your destination, the AWS home, has a front door in the shape of a circle -- how will you get your data into its new home? Amazon’s DMS has added a new tool to take care of all of that for you. This means it doesn’t matter if you have an Oracle or MySQL on-site server; Amazon can almost effortlessly convert it to a new schema.

With such a valuable tool, AWS must be charging a fortune to utilize it, right? Wrong. Amazon promises DMS migrations will cost as little as three dollars per terabyte. Even if your business is hosting above average amounts of data on-site, that’s still a price tag any cash-strapped SMB can afford.

Just because there’s a new tool for the migration, doesn’t mean you should attempt buying a new home for your server and driving it across town alone. Think of us as your virtualization real estate agent and movers, all wrapped into one. For an inexpensive, swift migration to a virtualized environment, we’ve got just the place for you. Contact us today.

Published with permission from TechAdvisory.org. Source.

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