This article is based on source material originally published on dqindia.com (January 2020). Market figures cited below are from Gartner as quoted in the original source.
Cloud Computing Comes of Age
The term cloud computing emerged as a buzzword in the early 2000s, but it has since matured into a foundational pillar of enterprise IT strategy. According to Gartner figures cited in the original source, the worldwide public cloud service market was projected to reach $331.2 billion by 2022, growing at a compound annual growth rate (CAGR) of 12.6% from 2018.
Two factors consistently drive cloud adoption at the enterprise level: agility and cost efficiency. Cloud infrastructure allows organisations to respond faster to shifting market conditions and evolving customer expectations, while freeing IT leaders to focus on data-backed strategy rather than reactive infrastructure management.
Understanding the Need for Business Agility
Business agility is not a one-size-fits-all requirement. The urgency and scope of agility vary significantly between departments and functions within the same organisation.
Consider a retailer aiming to double revenue through an e-commerce channel. In this scenario, improving customer experience becomes a critical priority—far more pressing than incremental changes to product management workflows. Recognising where agility delivers the greatest return prevents organisations from attempting a costly, uniform cloud transformation across the entire IT landscape when budget and capacity are limited.
The first step, therefore, is a deliberate assessment: which parts of the business genuinely require agility, and in what timeframe? This prioritisation shapes every subsequent technology and architecture decision.
Building Agility: A Process-First Approach
Many organisations make the mistake of leading with technology. A more sustainable approach starts with process redesign before selecting tools or platforms.
Refine and Reimagine Processes for a Digital-Native World
Established organisations with complex, legacy systems must reimagine their business processes before attempting to migrate or modernise at scale. Useful techniques include:
- Continuous feedback loops from user groups to surface friction points early
- Design thinking workshops to generate and validate ideas for efficiency improvements
- Guided practices and instant simulation to reduce decision latency
- Iterative prototyping to test process changes before full implementation
A practical example: food delivery aggregators do not rely on order history alone when generating recommendations. They factor in delivery location, order type, time of day, and user behaviour patterns. Investing in a real-time digital data platform that enables on-the-fly analysis and personalisation allows organisations to increase customer wallet share—a capability that process redesign makes possible long before a single line of new code is written.
Select Technologies That Match the Redesigned Processes
Once processes have been restructured, the technology choices follow more naturally. Depending on the business domain and scale requirements, the modern cloud-native stack may include:
- Microservices for decomposing tightly coupled monolithic applications
- Containers and orchestration (e.g., Kubernetes) for portability and scalability
- Platform-as-a-Service (PaaS) to reduce infrastructure management overhead
- Stream processing for real-time data pipelines
- Mobile-first APIs for customer-facing applications
- AI/ML and cognitive services for intelligent automation and recommendations
- IoT and Blockchain where supply chain transparency or device integration is required
Technology selection should be driven by the specific agility goals identified earlier—not by vendor marketing or industry trends alone.
Creating a Modern IT Landscape
The transition to a cloud-ready IT landscape typically happens along two parallel tracks:
- Building new applications using cloud-native patterns from the outset
- Decomposing existing monolithic applications by business domain into independently deployable microservices
Decomposition is particularly valuable for large, incumbent systems that cannot be replaced in a single migration. Breaking a monolith apart by business function allows teams to migrate and modernise incrementally, reducing risk while progressively adopting adaptive cloud architecture.
Regardless of the approach, applications operating in an interconnected business ecosystem should expose their capabilities through platform-agnostic APIs. Vendor and technology neutrality ensures that no single architectural decision locks the organisation into a dependency that limits future agility.
Scaling IT Delivery Capabilities
Technology transformation only delivers value when the people operating the systems have the skills—and the culture—to use them effectively. Scaling IT delivery capabilities requires investment in two areas:
Technical Upskilling
Engineering teams need hands-on exposure to cloud-native tooling, container orchestration, CI/CD pipelines, infrastructure-as-code, and observability practices. Formal training programmes, internal guilds, and incremental project ownership are all effective vehicles for building these skills organically.
Cultural Transformation
Technical skills alone are insufficient. Agile working practices, a tolerance for calculated risk, exploratory thinking, and psychological safety to experiment and fail fast are equally important. Organisations may choose to develop these capabilities internally or partner with an IT service provider experienced in cloud-native transformation—not only for technology expertise, but to act as a catalyst for cultural change within the IT organisation.
Key Takeaways for DevOps and Platform Teams
- Prioritise before you migrate. Map agility needs to specific business functions before committing to a broad cloud programme.
- Start with process, not platforms. Poorly designed processes migrated to the cloud remain poorly designed—just more expensive.
- Decompose incrementally. Microservices and cloud-native architectures are a journey, not a big-bang cutover.
- Build for interoperability. Platform-agnostic APIs protect long-term architectural flexibility.
- Invest in people as much as infrastructure. Upskilling and cultural change determine whether cloud investment translates into real business agility.