Cloud · Cloud Native Applications

Cloud apps that scale without the sprawl

For CTOs and product leaders building new platforms or modernising legacy ones, who want cloud scale and resilience without a hundred services nobody can run.

Maatara Consulting is an AI-native technology consultancy, with teams in Concord, California and Bengaluru, India, that designs, builds, secures and runs cloud and AI systems. Our cloud native application development picks the simplest architecture that meets your scale and proves it with measured cost and performance.

Kubernetes Serverless Docker Go C#/.NET Terraform
How the engagement runs
  1. Discovery
  2. Architecture
  3. First slice
  4. Build out
  5. Harden
  6. Operate
Fixed scope Kicks off in days
Our approach

How We Approach Cloud Native Application Development

Cloud native application development means building software that uses the cloud's strengths - elastic scaling, managed services, automated recovery - rather than just running old servers somewhere else. The skill is choosing how far to go: not every product needs microservices, and every extra service has a running cost.

Illustration for Cloud Native Applications
  • 01

    Simplest architecture that scales

    We choose between a modular monolith, containers and serverless per component, based on load, team size and cost.

    • Architecture decisions written down
    • No microservices for their own sake
  • 02

    Managed services first

    Databases, queues and identity come from the cloud provider where they are good enough, so your team runs less.

    • Less infrastructure to patch
    • Faster time to a working slice
  • 03

    Built to fail safely

    Health checks, retries, timeouts and automatic recovery are designed in, not added after an outage.

    • Graceful degradation under load
    • Tested recovery paths
  • 04

    Measured, not assumed

    Performance and cost are measured per service from the first release, so scaling decisions are based on numbers.

    • Latency budgets per journey
    • Cost per request visible
  • Architecture patterns

    Four Patterns We Build With

    Most products use two or three of these together.

    Containers and Kubernetes

    Services packaged as containers and run on managed Kubernetes when you need fine control over scaling and networking.

    Serverless

    Functions and managed services for spiky or event-driven workloads where you pay only for what runs.

    Event-driven design

    Queues and event streams that decouple services so one slow part does not stop the rest.

    Observability by default

    Logs, metrics and traces across every service, with dashboards and alerts tied to user journeys.

    Services

    Our Cloud Native Application Development Services

    From a new product to a step-by-step modernisation of a legacy system.

    01

    Architecture and design

    Service boundaries, data ownership and platform choices, documented.

    02

    New product build

    A cloud native product from first slice to production.

    03

    Legacy modernisation

    Incremental migration of monoliths using a routing layer and fallback path.

    04

    Containerisation

    Packaging existing apps into containers with health checks and configs.

    05

    Serverless development

    Functions, workflows and managed services for event-driven workloads.

    06

    API and event design

    Versioned APIs and event contracts between services.

    07

    Data layer design

    Managed databases, caching and storage chosen per workload.

    08

    Resilience engineering

    Retries, circuit breakers, multi-zone and disaster recovery.

    09

    Cost and performance tuning

    Right-sizing, autoscaling and caching driven by measured data.

    Why Maatara

    Why Teams Choose Maatara for Cloud Native Application Development

    Our engineers have built cloud products that run across devices and sites: a digital signage platform with one player codebase for Android, Linux and desktop and a multi-tenant portal running forty sites, and MoreSpace, which moves files across around 5 PB of storage. Our CTO, Krish B, brings 20+ years of distributed-systems engineering from Dell Technologies and 30+ granted patents.

    Meet the team
    15+ Years of combined engineering experience
    50+ Production AI and cloud programs delivered
    2 Delivery hubs, USA and India
    24/7 Support options

    Monolith slowing every release?

    Modernise it in steps, without a big-bang rewrite.

    Outcomes

    What Teams Achieve

    These are the commitments every cloud native application development engagement works to.

    Zero

    Planned downtime windows during modernisation cut-overs

    p95

    Latency budget agreed and tracked for each critical journey

    Per service

    Running cost measured from the first release

    Every change

    Shipped through CI/CD with automated rollback

    Deliverables

    Typical Deliverables

    Everything our cloud native application development team builds is yours.

    Architecture decision records

    Each major choice, the options considered and why.

    Production application

    Source code, infrastructure as code and pipelines in your repositories.

    Observability setup

    Logs, metrics, traces, dashboards and alerts.

    Performance baseline

    Measured latency and capacity at expected and peak load.

    Cost model

    Running cost per service and per request, with scaling assumptions.

    Runbook and handover

    Deployment, recovery and on-call guidance.

    Not sure you need microservices?

    Get an honest architecture review first.

    Business models

    Cloud Native Across How You Go to Market

    Cloud native application development priorities change with your customers.

    B2B & Enterprise

    Tenant isolation, audit logging, SSO and uptime targets that enterprise buyers check in procurement.

    Industries we support
    SaaS fintech insurance healthcare legal
    Discuss enterprise needs

    Cloud bill growing faster than traffic?

    See cost per request and where to cut it.

    Process

    Our Cloud Native Application Development Process

    Six steps from architecture to a product your team can run.

    1. 01

      Discovery

      Understand load, users, data, constraints and the current system.

    2. 02

      Architecture

      Choose patterns per component and document the decisions.

    3. 03

      First slice

      Ship one end-to-end journey to production early.

    4. 04

      Build out

      Add services and features in short, tested iterations.

    5. 05

      Harden

      Load test, tune, add recovery paths and security checks.

    6. 06

      Operate

      Monitor, optimise cost and hand over or run it for you.

    Our engagement model

    Our Engagement Model

    How a cloud native application development engagement runs commercially.

    01

    Analysis

    Free architecture call and NDA, then a short review of the current system or product idea.

    02

    Design

    A proposal with architecture direction, milestones and a fixed price.

    03

    Development

    Iterative build with demos every sprint and working software in a shared environment.

    04

    Optimization

    Performance and cost tuning against agreed budgets.

    05

    Deployment

    Production launch with monitoring, alerts and runbooks.

    06

    Support

    Monthly support and improvement, or handover to your team.

    Launching a product that must scale?

    Start with a working slice in production early.

    Engagement models

    Flexible Engagement Models

    Three ways to buy cloud native application development.

    Dedicated team

    A dedicated product engineering team building and running your application, billed monthly.

    Hire a team

    Fixed scope

    An architecture plus first slice, or one modernisation phase, at a fixed, milestone-based price.

    Get a quote

    Advisory & hourly

    Senior architecture review or modernisation planning, by the hour.

    Book advisory

    Ready to build for the cloud properly?

    Start with a free cloud native application development review.

    Fit check

    Is Cloud Native Application Development a Fit for You?

    A good fit if

    • Your application must scale, recover automatically or serve many tenants.
    • A legacy system is slowing releases or costing too much to run.
    • You want managed cloud services instead of servers to patch.
    • You want architecture choices backed by measured cost and performance.

    The wrong start if

    • A simple website or off-the-shelf SaaS product would do.
    • You want microservices regardless of whether they fit.
    • There is no team to own the product after launch.
    FAQs

    Cloud Native Application Development FAQs

    A cloud native application is built to run on cloud platforms using their strengths: containers or serverless functions, managed databases and queues, automated scaling and recovery, and continuous delivery. Cloud native application development focuses on resilience and speed of change, not simply hosting an old application on a cloud server.

    Still have a question?

    Ask an engineer, not a call centre. You get a straight answer within one business day.

    Ask our team

    A cloud native application is built to run on cloud platforms using their strengths: containers or serverless functions, managed databases and queues, automated scaling and recovery, and continuous delivery. Cloud native application development focuses on resilience and speed of change, not simply hosting an old application on a cloud server.

    Not always. Microservices help when separate teams need to release independently or parts of the system scale very differently. For many products a well-structured modular monolith on managed services is faster to build and cheaper to run. We recommend per component, based on load, team size and cost.

    Usually, yes. We put a routing layer in front of the old system, move one capability at a time to the new services, and keep a fallback path until each piece is proven. Users keep working while the system changes underneath.

    We build on AWS, Azure and Google Cloud, choosing managed services each provider does well. Our teams work in languages including Go, C#/.NET, Python and Java, and we fit your existing stack where it makes sense rather than imposing ours.

    We measure cost per service and per request from the first release, use autoscaling and serverless for spiky loads, cache aggressively, and right-size resources based on real traffic. You see the numbers on a dashboard, not just in the monthly bill.

    As a dedicated team billed monthly, a fixed-scope project priced by milestone, or architecture advice by the hour. After a free consultation we send a fixed-price proposal for the first phase, with no hidden costs, plus an estimate of monthly cloud running costs.

    Get started

    Ready to Build for the Cloud Properly?

    Tell us what you are building or modernising and where it hurts today. An engineer replies within one business day with a first view of the architecture. Every cloud native application development engagement starts with a free consultation.

    Reply from an engineer within one business day
    NDA available before we look at your stack
    Fixed-price proposal, no hidden costs
    Book a consultation