Deconstructing cloud-native solutions

Be lean, agile and transformed

• Freedom from cumbersome legacy infrastructure
• On-demand pay-as-you-go options
• Modular technologies, solutions and services
• Horizontal scaling, distributed processing
• Preset replacement of failed components

Improve outcomes, services and experiences

• Automatic system upgrades and live patching across stack levels
• Reduced downtime
• Reduced dependence on ‘IT experts’
• Pitfalls due to human errors eliminated
• Precious resource bandwidth released for complex tasks (decision making, strategizing)

Stay ahead, stay incredible

• Break linear patterns
• Unlock an agile operating model
• Build and deliver personalized products, services and solutions
• Cater to dynamic customer demands
• Prepare for sudden demand spikes, volatile market conditions

Create a resilient architecture

• Access to robust architecture and design
• Continuity of systems, solutions and services despite environmental hurdles
• Architectural steadiness; productivity loss avoidance
• Seamless operations across distributed workspaces

Unlock the power of choice with application portability

• Seamless Lift and Shift, unmatched flexibility
• Cost-efficient and scalable multi-cloud environment
• Open source tools for automated deployments across multiple clouds
• Move your application suite anywhere, anytime at minimal cost

Parameters

Scalability

Cloud-native solutions

• Automating infrastructure at scale eliminates downtime due to manual error; same set of rules consistently applied regardless of deployment size
• Systems automated, as against servers
• Goes beyond ad-hoc automation projects used as an appendage to conventional virtualization programs
• Optimum value generated with end-to-end digital transformation

Traditional enterprise solutions

• Involve human effort, require manual creation and management of servers, storage configurations and networks
• At scale, manual operators slow and inefficient at detecting issues and implementing solutions well due to high volumes and complexity levels
• Manual scaling may fold human errors into the solution code causing grave operational repercussions

Autonomy

• Solutions deconstructed into compact and loosely coupled, yet independently operating services, which further connect to smaller and autonomous development teams
• Unencumbered design enables easy and frequent software updates, hassle-free scaling, and solution breakdown/restart with zero impact on other services

• Gigantic and immovable traditional architectures
• Multiple incongruent services packaged into an integrated deployment suite
• Unwarranted dependencies created across services
• Agility hampered during development

Collaboration

• Leverages DevOps to combine processes, people and tools
• Fosters a culture of collaboration between developers and operations teams
• Ensures seamless transfer of the completed solution code into production
• Ensures smooth servicing and maintenance during delivery

• Promote a siloed culture, over-the-wall handoffs of completed solution code from development team to operations team
• Cumbersome design hampers collaboration, impacting customer outcomes and experiences
• May cause delivery to be slow and substandard

Continuity

• Design and release of individual software updates enabled as soon as they are ready; continuous delivery assured
• Rapid software release enables a crisp feedback loop
• Enables enhanced customer responsiveness and competitive agility
• Continuous delivery, coupled with best practices like test-driven development/ continuous integration, create a winning blueprint

• By design, software released sporadically, typically timed weeks or months apart, (even though a majority of components completed much earlier, with few dependencies)
• Opportunities to win customers and grow revenues may be missed due to delayed deployment of solution attributes demanded by end-users

Capacity

• Infrastructure provisioning and configuration automated
• Resources allocated/reallocated dynamically at the time of deployment basis unique needs of each solution
• Optimizes solution lifecycle management
• Simplifies scaling to service demand spikes, resource utilization, orchestration across available resources, failure recovery with least downtime

• Dedicated custom-built platform for solutions
• Delays solution deployment due to oversized solution
• Capacity estimates provision for worst case scenarios
• Limits enterprise’s ability to scale beyond design limits to meet unforeseen demand spikes

Predictability

• Conformist set-up
• Designed to follow a prescribed framework
• Resilience optimized through predictable behaviors
• Automated container-driven infrastructure; dictates how software is written

• Architected/ developed in a unique way
• Full potential of a Cloud-native platform restricted
• Solutions require a long time to build
• Improvements released in large and infrequent batches
• Organizations compelled to scale up, as against out

OS Dependence

• Allows developers to abstract from principal infrastructure dependencies
• Formalized platform; teams able to focus on software;
• Focus on configuring, patching and servicing operating systems not required

• Architecture creates close dependencies between solution and underlying OS, hardware, storage, and back up services
• Developers find these dependencies cumbersome
• Increased risk and complexity when migrating/ scaling solutions on to a new set up