Drivers of Enterprise Cloud Adoption
According to Gartner, the growth of global public cloud services market is projected at 17.5 percent in 2019 to total $214.3 billion and grow exponentially through 2022. The market size and growth of the cloud services industry will be at nearly three times the growth of overall IT services through 2022. Growth of the public cloud services market is self-indicative of the need to adopt and migrate to the cloud. Faster innovation, flexibility, scalability, higher availability, faster time to market, reduction of operating costs and technical debt are few of the important drivers that advocate cloud adoption by enterprises.
Faced with infrastructure upgrade and skill and knowledge challenges about legacy systems, metamorphosis of large monolithic legacy systems seems daunting for enterprises. Choices are many and the benefits offered by the cloud platforms seem fuzzy. Enterprises are looking forward to best of breed consultancy for a cloud adoption strategy and roadmap along with actual implementation and management of the same.
Stakeholders across enterprises seek answers for choice of cloud platform, hybrid strategy, application modernization, integration, and business continuity with an ultimate objective of achieving quicker ROI with cloud adoption and faster business innovation. The answers lie in an accelerated pace of cloud adoption with automation to the highest degree.
Transformational Journey to Cloud
Blueprinting for an optimized TCO
A typical large enterprise contains thousands of applications with more than 30 to 40% legacy applications footprint. Enterprises largely rely on human intervention to define their cloud migration strategy and roadmap, which most of the time complicates judgement. Generally, it takes a minimum of three to four months for a large enterprise to carry out the first level of analysis. A highly precise and unambiguous cloud migration strategy and roadmap in about four to six weeks is definitely possible with higher automation. Crawler service with intelligent cloud service mapping engine will help to understand the current state complexity and derive the TO-BE blue printing for the enterprise. Simple “per-app” pricing model based on the recommended migration path will enable an optimized TCO during the entire application migration-modernization continuum journey.
Factory model for accelerated cloud adoption
The movement to cloud is the next step after the strategy and roadmap for cloud adoption is finalized. A factory-based model with separate assembly lines for different technologies managed by experts, with established processes, and automation is gaining popularity. These assembly lines are solely responsible for cloud migration of applications in an enterprise. They offer real-time visibility into progress and challenges during migration thereby managing the complete migration lifecycle within the factory model. The continuous monitoring and insights ensure that there are no cost overruns during application migration and modernization, which contributes towards achieving quicker ROI.
Migration – modernization continuum for exponential value
How can enterprises achieve exponential growth in business value during the cloud adoption journey? Establishing a migration-modernization continuum is the answer. Enterprises are keen on migrating bulk of their applications to the cloud. A set of selective few applications, which are customer facing and business critical, are recommended to undergo modernization to deliver maximum business value. This often includes re-architecting a legacy application, to propel exponential growth in its value delivery. Design thinking enables a revisit of an enterprise’s core business processes followed by accelerated reverse engineering of the legacy code base. Automated business logic extraction can speed up the whole modernization process while forward engineering can generate codes from these extracted business rules.
Intelligent integration choices
Along with the migration and modernization activities, integration should be critically managed and executed to perfection to bring in the business value while managing the risk of business disruption. Enterprises require a strategy to accommodate changes to the integration landscape during the whole journey of migration and modernization. This will entail the adoption of next-gen integration products considering application dependencies and complexities of a hybrid architecture.
Agile cloud migration
Infrastructure-As-Code concept can help in tackling DevOps challenges and infrastructure provisioning along with a baseline CI/CD toolchain provisioning for any cloud project, which can be further customized to match the needs of the enterprise. This can apply across the various implementation phases of cloud adoption enabling an agile cloud migration along with streamlined post-migration governance.
With all the above choices enterprises can achieve the right balance between speed of cloud adoption, right-sizing, and automation during migration, and exponential value creation during modernization. This right mix will enable an enterprise to realize quicker ROI in their cloud adoption journey.
For any detailed discussion and to visualize the accelerators and enablers in action, connect with us: CMA.EnggConsulting@tcs.com.
About the author(s)
Soumya Chatterjee is the Global Head of Engineering for Cloud Apps, Microservices and API at TCS. With over two decades of IT experience in various product development and solutions creation activities, he spearheads product engineering and design to elevate and utilize digital roadmap, toolsets, framework, and solutions to manifest value to TCS customers.
In his earlier role as Global Solution Head for Oracle Enterprise practice within TCS, Soumya Chatterjee's major focus was to develop new solutions in the area of Cloud, Big Data, Mobility, and IoT.