Deconstructing cloud-native solutions


Cloud-native is the principal approach adopted by enterprises to build and deliver solutions by leveraging Cloud services as a delivery model. Businesses duking it out in volatile and fiercely competitive markets can outflank uncertain business environments, design new products, services and experiences, mitigate structural costs, enhance responsiveness to end-user demands, and increase time-to-market relevant solutions and services by building and operating solutions using a Cloud-native architecture. As they take on their own Cloud-native initiative, enterprises strive for a completely transformed, agile, collaborative and operationally efficient model fueling innovation and growth, not only today but also in the future. It is, thus, the key value driver for digitally leaning enterprises, as it unifies people, culture, and technology to optimize architectures by adopting a minimalist serverless approach, replacing legacy system silos with standardized technology platforms, driving innovation and scalability to mitigate operational costs, thereby managing process complexities and magnifying localized improvements into a distinct competitive advantage for enterprises.

Understanding cloud-native solutions (what)

Cloud-native solutions enable organizations to leverage Cloud services for building and running scalable solutions in cutting-edge technological environments.

  • Swift and Agile Solutions
  • Utilize the concept of distributed systems
  • Serverless solutions offer automated scaling, flexible pay-as-you-go options, high in-built availability, and increased agility
  • Eliminate cumbersome infrastructural tasks such as patching, provisioning for capacity, scheduling and scaling to enable cost efficient, scalable, modular, resilient and highly customer-centric solutions
  • Swift and automatic transition causing minimum impact
  • Examples: Service meshes, serverless computing, immutable infrastructure, microservices, declarative APIs

Building cloud-native solutions (how)

Building and operating Cloud-native solutions call for enterprises to remodel their core approach towards solution delivery by integrating fundamentals of Cloud-native architecture into their existing set up. The principal concepts of Cloud-native solution development are DevOps, Continuous Delivery, Microservices, Containers and Serverless Computing. Lately, serverless computing has emerged as the top choice of enterprises, when compared with Containers, expressly due to the benefits of time, scale and cost offered by the latter. To elaborate, a serverless architecture allows developers to build and iterate solutions in a swift and agile manner, without scalability concerns. Additionally, serverless computing does not require a constantly running code, hence remains a highly cost-efficient alternative where demand is fluctuating. Most enterprises strive to leverage a hybrid architecture comprising both serverless and container-based functions to optimize Cloud capabilities.

DevOps and continuous delivery

  • Enables technology teams and software developers to collaborate and deliver top-notch software solutions
  • Enables enterprises to build an agile environment, with frequent prototype building and testing, and swift release of software
  • Enabled by Agile product development practices
  • Leverages automation to introduce incremental software changes into a live production environment on ongoing basis
  • Enables standardized and highly reliable software release processes
  • Allows faster feedback loop
  • Mitigates risk around software delivery


  • Architectural approach to develop solutions as a group of small services
  • Each service implements business capabilities, runs in its own process, communicates via messaging/ HTTP APIs
  • Modular set up allows independent deployment, upgrading, scaling and restarting of each microservice
  • Typically form part of a completely automated system
  • Allow frequent updates to live solutions without impacting end-users


  • More efficient and much faster compared to standard virtual machines (VMs)
  • Leveraging virtualization at the OS-level to dynamically divided one OS instance between one/ more isolated containers (each with a distinct writable file system and resource quota)
  • Creating/destroying entail low overheads; packing density in a single VM is high
  • Ideal for deploying discrete microservices

Serverless computing

  • Simplified and cost efficient alternative to build and deliver solutions; does not require enterprises to pay for idle capacity
  • Highly scalable method; enables effortless scaling on demand
  • Offers swift and agile delivery by cutting down time-to-market considerably; allows developers to modify code on a piecemeal basis, and deploy serverless workflows and solutions combining container images, batch jobs or source codes without dependence on Kubernetes expertise

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Reference Links

What is Serverless Computing? | IBM

Cloud Optimization Strategy | Accenture

Serverless computing vs. containers | How to choose | Cloudflare

3 cloud architecture patterns that optimize scalability and cost | InfoWorld

Microsoft Word - IT Optimization White Paper v7.3.docx (


Written by:

Neha Dutta
Cloud Enablement Lead, EXL

Raman Kumar
Principal Cloud Solution Architect, EXL

Bill Heffelfinger
Digital CTO and VP, Cloud Engineering, EXL

Keshoo Sharma
Manager, Advanced Digital Capabilities and Solutions, EXL