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Why is hybrid IT model required?
Truly speaking, the concept of hybrid IT model or hybrid cloud is quite mystifying. In an era of digital disruption, businesses, processes and technologies are becoming complex and unmanageable, operating within age-old platforms. This issue brought cloud computing to the limelight, providing cutting-edge to few organizations who immediately adopted this new storage platform. Slowly with time, these organizations realized the flaws of the basic cloud model. Over the years, cloud computing was modified into a more secured domain with enhanced functionalities.
Evolution of cloud- the future IT model
Cloud computing was initially brought into picture to offer companies a virtual environment to store back-end data. Later, as requirements propped up, cloud was segregated into public and private cloud. Public cloud, although cheap, had two major concerns; one with data security and the other with high latency issue. Private cloud was the breather even though it came with a higher processing cost, owing to its offer of highly secured environment, increased performance and low latency. The relatively new concept of hybrid cloud computing was introduced in the market only a few years ago. It combines one or more public cloud providers in a private cloud environment, making use of an encrypted technology to make data portable. Though operating independently, the private and the public cloud have few aspects in common, only to help organizations store sensitive and protected data in private cloud, while referring to computational resources from public cloud.
Advantages of hybrid IT model
The reasons to implement hybrid cloud for a smoother organizational revamp are cited below:
- It provides flexibility to explore new products and business models through testing in a more private and secured environment.
- It extends security of a private cloud for organizations to store classified information, especially for those who deal with sensitive customer data.
- The hybrid model is better considering network failures and outages, hence promising more stability and reliability, by keeping a portion of the cloud dependency on-site.
- Distribution of functions based on speed between public and private cloud reduce latency. This aspect also increases efficiency of data performance.
- With growing complexity in business, large volumes of tasks are bestowed on data centers, resulting in lack of efficiency for the same. For similar instances, the cost-effective solution is to off-load the non-essential tasks to cloud storage system while dedicating the important ones towards on-premise resource that is individual data center.
Moving towards hybrid IT models
The whole process of transitioning to hybrid IT models can be complex. However, it can make the organization dynamic and agile as well. There are certain aspects to remember while transforming a business into hybrid cloud model.
- Once the set-up is done, testing and customization are essential for an error-free operation.
- Since in the hybrid setting, sensitive data is stored in private cloud, it adds certain amount of cost to the storage.
- Managing resources efficiently and assigning workloads based on availability is important. Without appropriate load balancing, the entire set-up might crash, causing severe operational failures.
- Along with storage, maintenance is also an essential part of cloud computing. Continuous maintenance by both, data center and cloud provider, will ensure uninterrupted operation.
- Audit and compliance regulations are mandatory, if an organization is dealing with sensitive data.
Why choose hybrid cloud?
Scenarios where the workload fluctuates, hybrid cloud can be the appropriate strategy to avoid reliability problems. Again, if the company is working with big data, hybrid cloud can prove compatible to enhance speed and dependency, while reducing cost of storage and operation. Hybrid cloud is extensively used in both finance and healthcare industries where the sensitive data is stored in private cloud, while the rest of the data for analytical purposes is stored in the public cloud. This resolves the issue with space created in data centers.
Hence, we can expect companies to operate, combining public and private cloud platforms and leverage a number of SaaS (Software as a Service) applications to work in orchestration. Hybrid cloud is definitely the future for data-driven companies. Although it might look complex, still it’s worth the effort to implement such change. With the correct strategy, infrastructure and technology, one can envision a glide-path to the future, even when the world is undergoing digital disruption.
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