Digital Transformation has created the foundation of disrupting the current business models. The current business analytics technology has transformed many of the business processes. The cloud technology has given the opportunity to the enterprises to utilize off-premises data centers to expand the applicability of business applications.


1. Availability of more data that is derived from different sources. The data sources are dependent on the customer behavior and applicability of data regulations. Social Media, device tracking and user interactions with applications help the enterprises create a specific analytical model for the data.

2. Cloud service providers and Software vendors are also providing the packaged analytic platform to help the enterprises achieve their business goals. It can be done without heavily investing in the data analyst or technology.

3. The different cloud services offered off-premises such as Infrastructure as a Service (IaaS), Cloud as a Service (CaaS) and Platform as a Service (PaaS) to enterprises. A high volume of computation can be applied to any given set of data at reasonable rates without any technological iteration.

The current trends have given rise to applications that deal with the volume of data and real-time update. Social media sites like Facebook, LinkedIn, and YouTube along with service-based sites such as Amazon, Uber, and eBay are prime examples. The need to store different kinds of data, process them, analyze and create business a model has prompted many of the enterprises to move towards off-premises data centers. The enterprises have to also evolve under the new settings of technology to figure out better agility and technology adoption.


The hybrid cloud approach that has been taken by the enterprises for cloud and data center management is aligned with security and resourcefulness of the infrastructure. According to the IHS Markit Cloud service strategies and leadership survey, the IT budget allocated to off-premise cloud service will see a 30 percent year-on-year expansion till 2021. Enterprises will also be largely spending on-premise cloud services to manage the IT infrastructure. This will also increase the demand for application management across the cloud infrastructure to ensure the resources are effectively utilized.


Enterprises are not only adopting the cloud services they are also including the number of cloud service providers to satisfy their IT needs. Currently, most enterprises are using 6 to 8 cloud service providers to manage their needs. Different providers satisfy different requirements, so enterprises are usually adopting the multi-cloud to fulfill their cloud needs.


The increased multi-cloud adoption has resulted in containerization for app development. The use of software containers for the agile development of applications will also help in the adoption of micro-service architecture. Induction of change into certain micro-service can be done without affecting the total application. The need for effective multi-cloud management so as all the micro-services are being organized in sync for the effective cloud application usage. Many Micro-services run in parallel and need to be standardized before the applications can actually access.

Developing and deploying the cloud-native applications will also impact the IT and development team. The developers and IT teams need to work collaboratively to understand the function of each micro-service in the app and implement them. The basic implementation of multi-cloud depends a lot on the application and microservices. The enterprises that are currently adopting the Multi-cloud to distribute their applications and define the micro-services according to the offering of cloud providers are adopting them to re-design their development process.

Many enterprises have openly expressed that management of multi-cloud has become cumbersome but also added that the architecture offers better development solutions. Managing different applications and workloads across multi-cloud platforms will require the total lifecycle management of applications including comprehensive monitoring, patching, backup, and remote monitoring.

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