Shifting Cloud Adoption in the Enterprise

Big Data

Shifting Cloud Adoption in the Enterprise

Portability of applications, seamless data integration, and business alliances between vendors means enterprises need to prepare for omni-cloud adoptions soon.

Industry experts anticipate tectonic shifts in cloud implementation and development practices, even in the coming 1-2 years. While global spending on public cloud at the beginning of the decade stood at $77 billion, the figure hit a high of $411 billion by the close of the decade, as reported by Statista. Further, IDC predicts that by 2028, more than 80% of business IT expenditures will be cloud-related.

Traditionally, CIOs are tasked with experimenting and determining the scope and scale of the enterprise cloud systems. Their chief concern centers around evaluating and aligning the strengths of various cloud platforms with organizational goals. Through 2020, CIOs need to look beyond mere trials, treating the cloud as an organic extension of business IT and opt for hybrid and multi-cloud scenarios with full-spectrum application to the enterprise and its framework.

CIOs will need to entrust specific business workloads to cloud platforms with relevant competency and cost advantages. For instance, we’ll see CIOs investing in two cloud providers and using them for different, specific use cases.

DevOps is evolving in tandem

As hybrid- and multi-cloud adoptions assume to be the new normal, DevOps is evolving to ensure seamless application and infrastructure development. Evolving from the preceding years of the waterfall and agile approaches, hybrid- and multi-cloud strategies will embrace DevOps as the dominant philosophy, guiding infrastructure building and application updates. However, it is important to remember that DevOps demands a different approach to develop, package, deploy and support. So, as developers become more centric to projects, there becomes a need to implement the infrastructure parts of the application, the application codes on top of it, and then address the data integration.

The real-time advantage of the DevOps model has also appealed to the application developers who are building infrastructure-related services like core databases, middleware app-servers, virtual machines, and EC2 instances for an infrastructure pipeline. They are using application pipelines to tame the complexities of continually packaging and deploying updates to their codes for three main objectives: simple bug fixes, efficiently packaging releases, and making significant changes in the application environment.

The automation of the application pipeline also comes with sustaining high-quality standards. In a hybrid and multi-cloud environment, with the application pipeline taking care of all the dependencies and providing a controlled platform, we can now safely push a host of updates into production without making wholesale changes in the application environment.

APIs = Seamless integration

The quality of business services reflects the integrity of the underlying business processes. For instance, to ensure the optimal functioning of an order entry facility, a large number of systems, from supervising the availability of raw materials to the shipping of the actual order, need to work in sync. In a typical on-premise operational environment, a lot of these systems are hardwired, and that makes it difficult for businesses to scale and orchestrate them to externalize services and ensure maximum customer value.

Continue Reading

Shifting Cloud Adoption in the Enterprise