AWS or Amazon Web Services was among the first clouds, and provides cloud platforms on subscription. Cloud technology allows you to have database storage, on-demand computing power, various applications, and numerous other information technology (IT) resources. This happens via the internet, through a platform that provides cloud services.

A cloud service is critical, especially if applications you run involve supporting your business or sharing photos to mobile phone users, or any other application that demands quick access to adjustable and affordable technology resources.

AWS may be everyone’s choice because it has such a wide range of services. There are numerous machine types, various methods of data storage and hundreds of software packages. However, technology is evolving rapidly. There are already alternatives to AWS that are changing in ways that indicate AWS may soon go out of style. Besides this, there are other reasons why you should ditch AWS.

You need better performance

Since the cloud depends on virtual transmission, there is a price to pay. A code must survey each request for Input/output (I/O), and transmit to the correct machine. Joyent was among the first to bring Docker to the market. They eliminated the middle action that offers direct performance for Docker containers on their virtual machines. They developed Triton, which is a cloud service, to aid in the removal of the layers that hinder faster I/O executions on the machines.

You need dedication from the machine

In the cloud, what is considered as the machine is just a part of a larger machine. You may think it is your own private root, but in essence, you just get to access a server shared by hundreds of people. How much do you trust anybody, even neighbors? Can you be sure there are no bugs?

IBM has bare metal boxes that are independent, and you can configure the type of specs you desire. You decide how much RAM, processor cores and SSD you need. You lease the machine for a month after they build one especially for you. You can rent the box per hour if you prefer, and choose from the available basic configurations.

Fewer web pages

Shared hosting arrangements arrived years ago. They allowed people to purchase accounts on UNIX machines to support several web pages by Apache. They ran on one computer, which did not scale, but numerous websites that were smaller in scale did not need flexibility. There are many sites that run fine on Drupal and WordPress, which are simple choices from a simpler time.

Static web pages still exist. The servers that run CPanel are good choices that work better than the cloud, are simpler and much cheaper. Shared servers are the best way to deliver data if your delivery consists of normal web pages, or PHP.

You don’t need a database, just solutions

For anyone who wants document editing or spreadsheet creation, Office 365 and G Suite are favorite options. Amazon is not a solution, but a platform. The best method to solve an issue is to develop browser extensions, then cache everything in the form of documents in Microsoft’s or Google’s system. Leasing a personal server should be a last resort, considering there are solutions already in existence on the web.

You don’t need to write more code

App Engine from Google lets you write Python, Java, Ruby or C# using a stringent structure. Google then takes care of the scaling, the configuration, the data storage, the load balancing, etc. It is easy to develop a complex application using a few lines of code that bond resources from Google. No matter how many users you have, Google takes care of scaling and gives you a bill depending on the resources used.

You need a database that’s smart

Google Cloud Scanner is a scalable, duplicated data shop that gives consistency in all the nodes. Google offers global duplication and regularity.

You aren’t a developer, just a data specialist

Google, IBM, Amazon, and Microsoft are experts on machine learning and sell the relevant tools on the cloud. These companies provide data cleaning tools, and models for training and testing. Amazon has a simple approach by comparison, and an expert data scientist might wonder at its simplicity. (However, a layman will appreciate its simplicity.)

You’d like to use Windows, just like many other clouds

AWS provides machines that run the Windows OS. Azure from Microsoft provides different types of Linux, but it's obvious it prefers Windows. You can transfer any licenses you have to Microsoft, or move some to the cloud while leaving some on the previous premise.

You’d like to utilize Google APIs

Google has great Application Programming Interfaces (APIs) for such services as mapping and translation. There are numerous APIs you can add to your applications, and are available all over the web. You don’t necessarily have to be on Google’s server to access the applications, but most applications run better when the machines are on one server. Google Cloud should be your solution if you have projects that are dependent on Google APIs.

You want to use specialty resources for data

Cloud providers make a point of collecting data in huge amounts so you don’t have to. Every cloud has its specialty; for example, Amazon has collated a lot of data on weather, while other clouds have their own focus.

You want to utilize Watson

IBM’s Watson cloud has solutions like offering VAs or Virtual Agents. The user interacts via conversational language, eliminating menus.

Go to freelancer.com and hire a VA online who will provide a more human touch.

You might want to evaluate videos

The IBM Watson provides video analysis. This gives the upper hand to Watson APIs like natural language understanding, tone analyzer and speech to text. If you wish, you can get a live social media response.

Secure future evidence

IBM Cloud gives you the opportunity to ensure trustworthy and secure evidence for future reference. These contracts allow you to create a firm foundation for the future by ensuring there is no room for disputes.

AWS is expensive

AWS becomes expensive after a while. Cloud storage services make a lot of money, based on how many times you need to access the data and where, geographically, it needs to be distributed. It requires a large breadth to import all clients’ data, and requires value-added services features so you can keep your data in their centers. Since these features tend to be proprietary, they create a “lock-in” that prevents you from moving any data to a new cloud service provider. This causes a huge increase in costs that result in accumulation of cloud debts.

You can build your own cloud

You could easily build your own cloud, since working with clouds has become a necessity for many businesses. There are numerous reasons why you should ditch AWS and have your private cloud:

  • Personal clouds are cheaper than business level clouds

  • Data Security: with your personal cloud, you are the only one responsible for security.

  • You have control over your data on a personal cloud

  • Flexibility: you have the option of your cloud doing exactly what you want because you have total control.

  • No limit on size: if you run out of space, you can add another drive. With cloud service providers, you have to purchase more space. A personal drive is unlimited.

  • User control: you have no limits on the number of users. You can put caps on the users as per their needs and level.

These are just some of the reasons you should ditch AWS, and go private.

Do you have comments or questions you’d like to ask? Post them below in the comment section.

 

Seuraava artikkeli

Proven Tips To Master GitHub And Git In No Time