Cloud-Native Application Development
Cloud-first from day one: microservices, serverless, DevOps by design. For new products and platforms that must scale.
Development Practice
Enterprise Applications, Engineered to Ship
Enterprise software ships late: slow release cycles, monoliths that resist change, and a thin internal team. Flentas builds, bridges and modernizes cloud-native applications on AWS, delivered through an AI-driven lifecycle with a human gate at every step. Build new · Bridge legacy · Modernize · Operate.
The Reality
Why Enterprise Software Ships Late
Most delivery problems aren't about effort. They're structural. Slow pipelines, legacy that resists change, and a skills gap compound until every release slips.
Delayed Time-to-Market
Slow release cycles and a roadmap bottlenecked on a thin internal team.
Legacy Holding Back Growth
A monolith that's hard to scale and costly to maintain blocks every new feature.
Fragmented Technology Stack
Systems that don't talk, manual handoffs and inconsistent data flow slow everything down.
Specialized Talent Gap
Senior cloud, DevOps and modern-framework skills are scarce and slow to hire.
High Operational Cost
Stagnant infrastructure, no automation and heavy support overhead drain the budget.
Quality & Reliability Issues
Downtime, performance bottlenecks and no automated testing erode trust.
Offerings
Three Offerings: Build New, Bridge Legacy, Modernize
All three run on the same delivery playbook, the same accelerators and the same engagement models.
Hybrid & Custom Application Engineering
Secure on-premise systems meet modern apps: hybrid gateways, SPA/PWA web, enterprise mobile. For enterprises with protected data that isn't moving.
Application Modernization & SaaS Product Engineering
Migrate, modernize or build MVPs: strangler-pattern refactoring, API engineering, multi-tenant SaaS. For monoliths, ISVs and SaaS launches.
Our Point of View
AI Accelerates Development. Discipline Decides Whether It Ships.
In 2026 the bottleneck isn't writing code. It's knowing what to build, proving it works, and understanding what a change will break. So we run an AI-driven lifecycle on top of the playbook, not instead of one.
AI Drafts
Requirements, stories, code, tests and runbooks.
Humans Decide
Every AI-generated artifact passes a gate.
ChangeSafe AI Keeps the Map
Every PR risk-scored before merge.
The Playbook Governs
A CCOE-approved practice on every project.
Engineering DNA
The Differentiator Isn't How Fast the Code Is Written. It's Disciplined Delivery.
AgilePragmatism over ceremony
DDDDomain-Driven Design
TDDTest-Driven Development
SOLIDClean Code & SOLID
AWSAdvanced Consulting Partner
GenAICompetency
2025AWS Partner of the Year
CCOEGoverned delivery
Delivery Approach
Six Phases, Each With an Exit Gate You Sign
An Agile SDLC (Scrum and Kanban) mapped to six delivery phases: transparency, continuous delivery, rapid value realization.
- 01
Discovery & Assessment
Gate: BRD/FSD, architecture and plan approved by you.
- 02
Prototyping / POC
Gate: POC demo, go/no-go.
- 03
Engineering & Development
Gate: sprint demo accepted.
- 04
Quality & Security
Gate: QA report green, security scans clean.
- 05
Deployment & Launch
Gate: cutover plan executed, hypercare exit.
- 06
Support & Enhancements
Gate: SLA met, CSAT reviewed.
AI-Driven Lifecycle
AI in Every Phase. A Human at Every Gate.
We align to AWS's AI-Driven Development Life Cycle (AI-DLC): AI plans, asks and drafts; the team validates before anything is built. Every unit of work moves the same way, AI proposes, team verifies, AI generates and tests, in hours-to-days cycles inside your sprint.
Inception
AI drafts requirements, user stories and units of work; the team validates in one session. Gate: you approve what gets built, and why.
Construction
AI proposes architecture and generates code, tests and docs; humans steer at every checkpoint. Gate: human review before every merge.
Operations
AI drafts IaC, runbooks and release notes; AI-assisted incident triage against project context. Gate: named humans approve changes and hold production access.
Delivery Accelerator · ChangeSafe AI
ChangeSafe AI Keeps the Map
ChangeSafe AI, our IP, turns your repositories into a live, confidence-scored architecture graph: up to 7× fewer tokens per AI architecture query, 10× faster onboarding onto any codebase, and every PR's blast radius scored before a human opens it. Runs 100% in your AWS account. Code never leaves your VPC.
Capabilities
Nine Capabilities, One Accountable Engineering Team
Microservices Architecture
Independent, scalable services on Docker and Kubernetes (Amazon EKS).
Serverless Engineering
Event-driven architectures on Lambda and API Gateway, near-zero operational overhead.
DevOps by Design
CI/CD, Infrastructure-as-Code and VAPT scans from day one.
Hybrid Cloud Gateways
Secure protocols between protected on-prem databases and cloud front ends.
Modern Web Applications
High-performance SPAs and PWAs in React and Angular.
Enterprise Mobility
Cross-platform and native iOS/Android applications.
Legacy Refactoring
Strangler-pattern migration to cloud with near-zero downtime.
API & Integration Engineering
Documented RESTful and GraphQL layers connecting disparate systems.
Multi-Tenant SaaS
Secure data isolation and scalable tenant provisioning.
How We Guarantee Quality
Standards Enforced on Every Project
Engineering Standards
An 80% unit-test coverage floor reported in the pipeline, a six-state Jira workflow, and a release-per-sprint Git strategy.
A Dedicated QA Lane
Every sprint gets a full QA sprint (N+1) on its own release branch; nothing reaches main until QA passes.
Security Shifts Left
Every commit and every build is scanned; builds fail on findings; zero unscanned builds.
Observability From Day One
Structured logs, shared dashboards, and three alert severities each linked to a runbook; releases run from a documented runbook with zero-downtime cutover.
Accelerators
Assets That Take Weeks Off the Plan
Production-tested, proprietary assets we bring to every engagement, so Sprint 1 starts from a working baseline, not a blank repository.
Prebuilt DevSecOps & CI/CD Pipelines
Scanning, gates and deployment stages ready on day one.
Microservice Boilerplates
Spring Boot, Angular and Node.js starters with our standards built in.
UI/UX Component Library
Accessible, themeable components for web and mobile.
API Integration Framework
Patterns and adapters for connecting enterprise systems.
CCOE Reference Architectures & IaC Modules
Approved landing zones and Terraform modules.
ChangeSafe AI
A live dependency graph on every repository.
AI-DLC Workflow Rules
Kiro and Claude Code on Amazon Bedrock, governed by the playbook.
Case Studies
Real Builds. Measured Outcomes.
99.99%+Uptime, 100% paperless
Godrej Capital: a paper-driven KYC process became a 15–20 minute digital journey. Video KYC built full-stack (Angular + Spring Boot), serverless microservices on API Gateway + Lambda, product rollouts in about four months. RDS storage growth curbed.
Read the case studyZeroDowntime releases
Mahindra Insurance Brokers: one platform for motor and non-motor insurance. Decoupled, API-driven microservices (Angular + Spring Boot), containerized on Amazon EKS, Jenkins CI/CD, SonarQube, WAF, GuardDuty and full observability. IRDA-aligned compliance with DR, audit logging and PII masking.
40%Shorter procurement cycle
Jaleel Holdings: vendor bidding moved from phone calls to a WhatsApp-first platform (Amazon Lex, Bedrock, Lambda, DynamoDB). Delivered by a 6-person pod in 7 weeks. Vendors respond 30% faster, and 85% reported a better experience.
Read the case studyGodrej Capital
“Flentas has been an integral technology partner from design inception to building and managing our Enterprise Applications and infrastructure on AWS Cloud.”
Jyothirlatha B.CTOGodrej Capital
Engagement Models
Five Ways to Engage, Chosen by How Certain Your Scope Is
Every model runs on the same delivery discipline. The gates don't change with the commercial model.
Fixed Scope Delivery
Locked requirements and a hard date: a predictable budget mapped to phases and milestones.
Dedicated Development Teams
Long-term Agile pods that scale up or down; you keep direct control of the backlog.
Time & Material
Evolving products that pivot quickly; pay strictly for engineering hours consumed.
AMC: Support & Maintenance
24/7 SLA-driven incident management, L2/L3 support, monitoring and security patching.
AI-Accelerated Pod
A senior pod running the AI-DLC model in your AWS account; priced on outcomes or capacity.
Why Flentas
Why Teams Choose Flentas
AWS Partner of the Year 2025
Advanced Consulting Partner with GenAI Competency; cloud-native engineering is our core practice.
Deep Domain Expertise
FinTech, InsurTech, Gaming and high-scale consumer applications across India and the GCC.
A Governed Playbook
CCOE-governed delivery: fixed cadence, engineering standards, shift-left security and 14 handover artefacts on every project.
AI-DLC Done Responsibly
AI in every phase, a human at every gate, ChangeSafe on every repository.
Speed to Market
Proprietary pipelines, boilerplates and component libraries that take weeks off the plan.
Measured Outcomes in Production
99.99%+ uptime at Godrej Capital · zero-downtime releases at Mahindra Insurance Brokers · a 40% shorter procurement cycle at Jaleel Holdings.
What You Receive
Documentation You Actually Receive: 14 Artefacts, Plus Living Docs
On Every Project
BRD · FSD · cloud architecture diagram · application architecture (overall and per module) · entity-relationship diagram · API documentation / Swagger · Postman collection · local and production setup READMEs · end-user guide · Git repository details · database DDL/DML and seed scripts · raw design files (draw.io, Figma, OpenAPI) · security reports (VAPT and remediation).
At Closure
Project Closure Report · Knowledge-Transfer plan · Retrospective · CSAT. With ChangeSafe on your repos, architecture answers stay current long after handover.
Get Started
Start With a Discovery & Assessment Sprint
Discovery & Assessment
Requirement workshops, technical audit, target architecture, MVP milestones and estimation plan. You approve the plan.
POC / Pilot Sprint
Prove the riskiest piece first; a ChangeSafe run on your repositories gives you the full dependency map on day one.
Engineering Sprints
The playbook cadence from Sprint 1: two standups a day, three fixed calls a week, QA lane N+1.
What's Next
Where This Fits in Your Journey
One engagement is one stage. Here is what usually comes before and after, so the next step is always clear.
Application and Database Modernization
Clear the application and database debt that migration alone does not solve.
Explore Application and Database ModernizationYou are here
Cloud Native Development
Microservices, containers and CI/CD so you ship every day.
DevOps and Automation
Make every release a routine, low-risk event.
Explore DevOps and AutomationData Engineering
One governed copy of your data, ready for BI and AI.
Explore Data EngineeringGet Started
Ready to Build With a Team That Ships?
Book the discovery workshop and leave with an approved plan: target architecture, MVP milestones and an estimate you can take to the board.
- AWS Partner of the Year 2025
- GenAI Competency
- CCOE-governed delivery