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ARRAYMATIC

ArrayMatic Technologies

B-23, B Block, Sector 63, Noida, Uttar Pradesh 201301

[email protected]

+91-9555505981

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HomeServicesCloud/DevOpsCloud-Native Solutions

Cloud/DevOps

Cloud-Native Solutions

Cloud-native application architecture using containers, managed services, and event-driven design — built to scale horizontally and fail gracefully from day one.

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What it is

Cloud-native applications are designed to run on cloud infrastructure from the ground up, using containers, managed services, auto-scaling, and distributed architecture patterns rather than being adapted from traditional monolithic deployments.

What you get

  • Kubernetes-based container orchestration (EKS, GKE, AKS)
  • Microservice decomposition with defined service boundaries
  • Event-driven architecture with SQS, Kafka, or PubSub

Designed for the cloud, not just deployed to it

Lifting and shifting a monolith to a VM in the cloud is not cloud-native — it is the same architecture with a higher bill. Cloud-native means designing for horizontal scalability, failure isolation, independent deployability, and operational observability from the start. The cloud becomes an advantage, not just a location.

We build cloud-native applications with containerised services on Kubernetes (EKS, GKE, AKS), managed databases and message queues, autoscaling policies tied to real load metrics, and infrastructure defined entirely as code. Services communicate via event streams or well-defined APIs, not shared databases.

Observability is part of the initial build, not a retrofit. Structured logging, distributed tracing (OpenTelemetry), and metrics dashboards (Grafana) are deployed alongside the application. When something goes wrong at 3am, the team has the information to diagnose and resolve it without waking up half the organisation.

Key capabilities

What we build for you

Each engagement is scoped to your requirements — these are the core capabilities we bring to the table.

Horizontal auto-scaling with custom metrics

Service mesh (Istio, Linkerd) for traffic management

Infrastructure as code with Terraform and Helm

Distributed tracing and structured logging (OpenTelemetry)

Blue/green and canary deployment strategies

Our process

Discovery to deployment

A structured, engineering-led approach that moves from understanding your goals to a production system — with no handoff surprises.

Typical engagement

8–16 WEEKS

01

Discovery

We map your goals, constraints, and existing infrastructure. Scope is defined and success criteria agreed before any development begins.

Requirements workshopTechnical audit
02

Architecture

We design the technical approach, select the right tools, and produce a milestone-driven delivery plan with no ambiguity.

Stack selectionDelivery plan
03

Build

Iterative development with regular demos. Code reviews, test coverage, and documentation happen in parallel — not at the end.

Sprint cadenceCode review
04

Deploy

Production release with monitoring setup and handover documentation. We stay close during the first weeks post-launch.

CI/CD pipelinePost-launch support

Built with

DockerKubernetes

No. Cloud-native architecture introduces operational complexity that is only justified when you need: independent scaling of separate components, high availability with zero planned downtime, teams deploying independently, or handling unpredictable traffic spikes. Simple applications with predictable load often run fine on a single well-configured server.

Not always. For small applications or teams without Kubernetes expertise, managed container services (AWS ECS, Cloud Run, Railway) offer much simpler operations. Kubernetes is worthwhile when you need: multiple teams deploying independently, custom scheduling requirements, complex networking between many services, or advanced deployment strategies.

Domain-driven service boundaries, a service registry, distributed tracing so requests are traceable across services, centralised logging, and contract testing between services. We also advocate for starting with a modular monolith and extracting services when there is a clear need — not decomposing prematurely.

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