Cloud-Native Development
Cloud-Native Development Services. Built for the Cloud from Day One
Legacy lift-and-shift wastes 60% of cloud value. We build applications that are cloud-native by design. Microservices, containers, serverless, event-driven. Maximize scalability and minimize cost.
Microservices Architecture
Independently deployable services
Container & Serverless First
Docker, ECS, Lambda, Fargate
12-Factor App Design
Cloud-native best practices
Common Challenges
Your Monolith Is a Bottleneck
These problems compound with every feature you ship
Can't Scale Individual Features
One component needs 10x capacity but you have to scale the entire monolith. You are paying for resources you do not need just to keep one feature alive.
Deploys Take Hours and Break Everything
A one-line CSS change requires a full application build, test suite, and deployment. Release windows measured in hours. Rollbacks measured in panic.
One Bug Takes Down the Entire System
A memory leak in the payment module crashes the checkout, the product catalog, and the user dashboard. No isolation, no blast radius control.
Our Approach
How We Build Cloud-Native
Four pillars that define every cloud-native application we deliver
Microservices
Independently deployable services with clear bounded contexts. Each service owns its data, scales on its own, and can be deployed without touching anything else. Teams move faster because they own the full lifecycle.
Containers
Docker containers running on ECS Fargate or EKS. Portable, reproducible, and environment-agnostic. The same image that passes CI runs in staging and production. No more "works on my machine" problems.
Serverless
Event-driven Lambda functions, API Gateway, Step Functions. Pay only for what you use, scale to zero when idle, scale to thousands of concurrent executions in seconds. No servers to patch or manage.
DevOps
CI/CD pipelines, Infrastructure as Code with CDK, automated testing, monitoring with CloudWatch and X-Ray. Every push triggers build, test, and deploy. Infrastructure is versioned and peer-reviewed like application code.
Engagement Models
What We Build
Three engagement models depending on where you are today
Greenfield Cloud-Native Apps
Starting fresh? We design and build cloud-native applications from scratch using microservices, serverless, and event-driven patterns. Domain-driven design, API-first, 12-factor principles baked in from the first commit.
Monolith to Microservices Migration
Strangler Fig pattern to incrementally extract services from your monolith. We identify the highest-value bounded contexts, extract them into independent services, and keep your system running throughout the migration.
Cloud-Native Platform Engineering
Internal developer platforms, shared service meshes, API gateways, observability stacks, and CI/CD foundations. Give your teams the platform they need to ship cloud-native services independently and safely.
Technology Stack
Our Cloud-Native Technology Stack
AWS services organized by cloud-native capability
Compute
APIs & Messaging
Data
Infrastructure as Code
Observability
CI/CD & Security
Cloud-Native Development FAQ
Common questions about cloud-native application development, architecture, and migration
Cloud-native development means building applications specifically designed to run in the cloud from day one. Instead of a single monolith deployed on a VM, you get independently deployable microservices, containers, serverless functions, and event-driven architectures. The result is applications that scale automatically, recover from failures on their own, and deploy in minutes instead of hours.
A greenfield cloud-native application typically starts at $30K-$60K depending on complexity. Monolith-to-microservices migration projects range from $40K-$100K+ based on the size of the existing codebase and number of services to extract. We scope every engagement with fixed-price milestones so you know exactly what you are paying for before work begins.
Yes. We use the Strangler Fig pattern to incrementally extract services from your monolith without a risky big-bang rewrite. We identify bounded contexts, extract the highest-value services first, and keep the monolith running in parallel until each service is proven in production. Most teams see their first extracted service live within 4-6 weeks.
An MVP with 2-3 core microservices, a serverless API layer, CI/CD, and monitoring typically takes 8-12 weeks. More complex platforms with 5-10 services, event-driven workflows, and multi-region deployment take 4-6 months. We deliver working software every two weeks so you can validate early and adjust scope as needed.
Not always. Kubernetes is powerful but adds operational complexity. For many workloads, ECS Fargate or AWS Lambda provides the same benefits with less overhead. We evaluate your team size, traffic patterns, and operational maturity before recommending a container orchestration strategy. If Kubernetes is the right fit, we handle EKS setup and ongoing management.
Our core stack includes Lambda and Fargate for compute, API Gateway and AppSync for APIs, DynamoDB and Aurora Serverless for data, SQS, SNS, and EventBridge for messaging, Step Functions for orchestration, and CDK for infrastructure as code. We select services based on your specific requirements rather than defaulting to one approach.
Still have questions? Book a call
Free Offer
Ready to Ship 10x Faster?
Every engagement starts with our FREE 48-hour AWS Architecture Diagnostic. We'll analyze your setup, identify bottlenecks, and create your custom 30-day roadmap. Completely free.
Complete infrastructure analysis
30-day implementation plan
Senior engineer recommendations