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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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HomeIndustriesStartupsScalable Cloud Infrastructure for Startups

Startups

Scalable Cloud Infrastructure for Startups

AWS or GCP infrastructure built to scale from 100 to 100,000 users without a rewrite — right-sized for startup budgets, with IaC, auto-scaling, and cost monitoring from day one.

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Industry overview

Scalable cloud infrastructure for startups is a set of provisioned cloud resources — compute, storage, networking, and orchestration — designed with horizontal scaling and cost efficiency in mind from the initial architecture.

At a glance

  • Terraform IaC for reproducible, auditable infrastructure across environments
  • ECS or GKE cluster with auto-scaling keyed to request rate and CPU metrics
  • RDS or Cloud SQL with automated backups and configurable read replicas

Startups routinely over-provision in anticipation of growth they have not yet reached, or under-provision and scramble when a launch goes viral. We design infrastructure that starts small and scales automatically: containerised workloads on ECS or GKE, auto-scaling groups keyed to CPU and request-rate metrics, and a PostgreSQL RDS instance with read replicas enabled when the query load warrants it. Everything is defined in Terraform so the environment is reproducible and auditable.

What we provision and configure

A typical engagement delivers a VPC with private and public subnets, an ECS or GKE cluster running your application containers, an RDS or Cloud SQL database with automated backups, an S3 or GCS bucket for media and assets, a CloudFront or Cloud CDN distribution, and a GitHub Actions or Cloud Build CI/CD pipeline. We wire AWS Cost Explorer or GCP Billing dashboards with budget alerts so you never get a surprise invoice at month end.

Key capabilities

What we deliver

Engagements are scoped to your business context — these are the core capabilities we bring to startups clients.

Terraform IaC for reproducible, auditable infrastructure across environments

ECS or GKE cluster with auto-scaling keyed to request rate and CPU metrics

RDS or Cloud SQL with automated backups and configurable read replicas

CDN distribution for static assets with cache-control and invalidation hooks

GitHub Actions or Cloud Build CI/CD pipeline with staging and production gates

Budget alerts and cost dashboards to prevent unexpected cloud spend

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