5 Best Designing Principles for Data Cloud-Based Data Architecture

Cloud Computing is undoubtedly one of the boons of technology and in the past 5-8 years, it has evolved tremendously. The way it has served demands for servers, storage, network, devices, security, and architecture is efficient and unmatched. If we go back a few years and look at what cloud services were in those days, there is a huge difference between how it works today. From increasing cloud storage capacity to security challenges to cloud services and whatnot, it has taken IT infrastructure up a notch.

However, the roadmap to attain this success is not easy. For reliable cloud data architecture, one needs to follow a certain set of principles. A trusted cloud computing solution must be secure, scalable, cost-efficient, and high performing. Yes, you can simply migrate your applications or database from traditional servers to cloud-based to reap its benefits but this will not solve all your problems. For tapping into its full potential and leverage advantages by exploring its strengths, you need a well-planned data architecture design. The professional must use its elasticity and ability to ensure automate infrastructure management. It will be the backbone of your cloud network, so the design of the architecture must be decided meticulously so that it delivers value to your enterprise.

We have listed five principles that we follow for cloud data architecture to give you the best results. Have a look:

It should be adaptive

Your business will surely expand and grow in the future and with this, your traffic, users, and activities will also increase. Hence, your cloud architecture must accommodate this growth effectively without hampering overall business performance. Therefore, we make sure that the data architecture designing is adaptive and elastic to match your changing demands. It supports your data size, traffic, activities, and users. Also, in case you need to add a resource, it allows linear scalability. Our cloud architects make it proportional to your ever-increasing load so whether you have vertical or horizontal scaling, it will take care of both. We take care of all your specifications, data stored, and type of applications while working on data infrastructure so it gets the maximum advantage of the unlimited capacity offered by cloud computing. Moreover, we also consider if you prefer data architecture for the short-term, then we implement vertical scaling. Else, we distribute workload to multiple resources for applications. In both cases, the design is adaptive and scalable.

Be prepared with a plan

Of course, there are many unforeseen situations that anyone can hardly predict. However, while working on data architecture, we take into consideration all the possibilities and chances that are likely based on your business. We are prepared with a plan that handles all the scenarios hassle-free. Be it a hardware failure or any other catastrophic event, we have a mechanism to deal with the problem before it strikes. The first rule is to eliminate any decision based on guessing work because any wrong prediction can result in expensive resources or worst, business performance might be influenced. AWS cloud solutions allow automation which lowers the risk of design changes and you can have a replicate system that supports dynamic architecture. Data is a reliable source of information to make choices as it identifies the behavior of applications and helps determine what is the best course of action. There are rapid changes in the business world and to avoid any hindrances, we design evolving architecture that assures smooth operations.

Focus on cost-effectiveness

The priority of most businesses is to save cost and when it comes to cloud computing architecture, there is no exception. An organization invests a huge amount in data architecture and the result should be optimum keeping all the key aspects in mind. Considering the rise in competition in this digital era, there are many threats to your ability to grow. Hence, a cost-effective solution that can enhance performance is a perfect way out. So, the first step is to select the right configuration and storage solution according to your needs. With the service of trusted cloud providers, you can bring down your management and maintenance costs. Also, automatic scaling adjusts itself when you grow horizontally or decrease your activity which saves you quite a lot of funds. There are various other cost-saving methods, such as price to performance ratio, instance purchasing option, functionality model, and more that you can select based on your business and data model.

Also Read: Decoding Software Product Architecture: A to Z Guide

Prioritize data security

Data security is everything for organizations and they will do everything to maintain it. When you run an app on the cloud or choose cloud migration from on-premise servers to the cloud one, the concern gets even more serious as that time data is vulnerable to risks. Keeping this in mind, cloud-based data architecture is designed in a way so that it doesn’t compromise on data protection at all. Rather than restricting security to the firewall level, your attention should be to protect it at all layers within the infrastructure. There are many traditional IT architecture tools and techniques used in the cloud as well for security reasons. Be it AWS or Microsoft Azure cloud service, they allow creating designs that control security on the platform. Hence, simplifying the entire system for running IT infrastructure and its administration. Exploring and tightening security layers not only make the environment easier to audit but also protect any unauthorized actions, breaches, or destructive forces.

Adopt multi-cloud approach

Every business has a unique demand and there is no scope for ‘one size fits all’ approach when it comes to cloud architecture. Therefore, a multi-cloud strategy is a way to switch to other cloud platforms and balance the two or more clouds. The technique gives you complete flexibility to attain high performance with top functionalities and interoperability. The principle works with all cloud providers and for every enterprise. With a customized cloud solution, you get the benefits of a hybrid cloud. There is a freedom to use applications in a tailored and cost-effective manner. Furthermore, you might be attracted to native services but it is not useful in the long run when your business expands. Hence, open-source replacements are good to replace them to experience flexibility without any limitations of native services. A multi-cloud structure gives you an opportunity to test different cloud services and their responsiveness so that you can have the right mix of multiple services.

Conclusion

So, these were our top practices to follow in cloud data architecture design. Rest assured that these points can work wonders when you move your applications and database to clouds, delivering the best outcomes. Of course, each business is different and seeks expertise in designing the cloud but the above-mentioned points will work for everyone.

However, you will need a reliable company offering various product engineering services to take care of all your specific requirements. A3logics has been providing designing and architecting cloud solutions for years. Our knowledge and skills in the field are unparalleled. Connect with us for all your cloud computing needs and we will take care of them with proven skills and tested methodologies.