Solutions to Address Challenges in Cloud Transformation

Challenges in Cloud Transformation

According to Cloudwards, a leading cloud technology publication, by 2025, there will be over 100 zettabytes of data stored in the cloud. Compare this to 2015, where only 25 percent of all the computing data was stored on cloud. That’s a huge difference, right?  

Currently, the cloud is what propels digital transformation. To keep accelerating business operations, companies are competing to switch their IT infrastructures to cloud-based services. The advantages of embracing cloud computing are being acknowledged by businesses worldwide. Cloud has enabled organizations to quickly deliver new products and services, allowing them to realise their goals. However, there are some barriers that all companies face when undertaking their cloud journey.  

4 BARRIERS TO CLOUD ADOPTION 

Let’s look at the ways to overcome these barriers: 

Evaluate technology stack:

The technology stack consists of all apps, the development resources needed to create them, data, and the computational resources. You would need to put lesser effort controlling and integrating all necessary components if you have the right tech stack. Since technology will be a foundation for cloud-based apps, conducting research and assessing its viability will lessen the workload. 

Build an effective cloud strategy:

The company’s vision and perspective on the cloud must be taken into account while developing a cloud strategy. The following factors need to be considered when developing a suitable cloud strategy (Read 7 Steps of cloud migration).

Modernizing the cloud: This process needs careful planning. It would ultimately allow applications to function concurrently and flawlessly while swiftly scaling up and down, optimising compute and cost. These days, quicker iteration and deployment necessitate shorter development lifecycles. 

Cloud and Data Analytics: Using the cloud in conjunction with analytics offers a practical way to analyse a lot of data at once. Data Analytics as a Service (DaaS) is a method of delivering cloud-based analytics capabilities across a range of sectors and use cases. 

Cloud infrastructure and multi-cloud operation: As businesses modernise their application stacks with new software or by developing new ones, they can optimise various applications with the use of cloud services that are specific to each vendor. Business applications may be tailored for a specific cloud or they may be more prevalent on a particular operating system and best suited to a specific cloud.  

Use cloud agnostic services:

Organizations believe that a cloud agnostic approach gives a chance to develop a highly portable system. Adopting a cloud agnostic approach involves using a multi-cloud provider. Cloud agnostic technologies include:  

Microservices: This divides an application into a number of compact pieces, each of which performs a single business function. Microservices (Recognize which microservices trend best suits your firm) perform well for autonomous teams and loosely linked systems. 

Dockers: It is an open-source framework for packaging applications in containers. Docker focuses on how applications behave and what physical infrastructure they support while providing portability, creating network and storage abstraction.  

Change the operating model:

Business transformation involves more than merely switching to new technologies and adopting fresh approaches. In order to improve business operations and operational business models, data platforms must be improved. Security must also be added after a migration, and solutions must be managed appropriately in accordance with financial and HR standards to ensure better execution.  

Leverage experienced cloud providers:

Cloud providers support and enable enterprises to move, adapt, and establish cloud-native products by bringing a global business solution, outsourcing, and consulting skills. Leading cloud service providers like Skillmine make it simple for organizations to handle massive amounts of incoming data, extra workload, and the creation of new platforms while also assisting with large-scale migration.  

Conclusion: 

Future organizations will lean more toward the cloud, which will become more pervasive and depend more on cloud-native architectures and technologies. Utilizing resources or as-a-service features will spread more widely. Skillmine aids partners in innovating to fit in a cloud environment and modernising their applications to effectively transition to the cloud.

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