Cloud & infrastructure

AWS & Azure integration

Architecture, managed services and cost control on the major clouds — with the bill explained line by line.

What does cloud architecture work involve?

Cloud architecture work designs how your systems run on AWS or Azure: which managed services to use, how networking and access are secured, how the environment is defined as code so it can be rebuilt, and how spend is monitored and controlled as usage grows.

The bill should never be a surprise

Cloud bills grow quietly. A logging setting, an oversized instance nobody downsized after launch, data transfer between regions, a forgotten test environment running for months. Individually small, collectively the reason cloud spend routinely doubles without any change in traffic.

We set up budgets, alerts and tagging from the start so every rupee is attributable to a workload, and review spend as part of any retainer. Infrastructure as code makes the whole environment reproducible, which also means an accidental change is a revert rather than an archaeology exercise.

Process

How we deliver it

1Review the current stateArchitecture, securityposture, cost breakdown.2Design the targetManaged services,networking, availability andrecovery.3CodifyTerraform so the environmentis reproducible andreviewable.4Instrument costTagging, budgets and alertsper workload.5OptimiseRight-size, remove waste,commit to reservations wherejustified.
Process flow for AWS & Azure integration
  1. 01

    Review the current state

    Architecture, security posture, cost breakdown.

  2. 02

    Design the target

    Managed services, networking, availability and recovery.

  3. 03

    Codify

    Terraform so the environment is reproducible and reviewable.

  4. 04

    Instrument cost

    Tagging, budgets and alerts per workload.

  5. 05

    Optimise

    Right-size, remove waste, commit to reservations where justified.

Deliverables

What you receive

  • Architecture documentation with diagrams
  • Infrastructure defined as code in your repository
  • Security baseline — IAM, network isolation, encryption, logging
  • Cost dashboard with per-workload attribution and alerts
  • Disaster recovery plan with tested recovery objectives

Engagement shape

Project-based for architecture and setup, then an optional monthly retainer for operations and cost review.

Tooling

What we typically build with

  • AWS
  • Azure
  • Terraform
  • CloudFormation
  • Kubernetes where justified
  • CloudWatch
  • Grafana

Stack decisions follow the problem. This is where we usually start, not a fixed menu.

Frequently asked

Questions we get about this

AWS or Azure?

Mostly it follows your existing commitments and team skills rather than technical superiority. Azure integrates naturally with a Microsoft-centric organisation; AWS has the broadest service range and deepest hiring pool in India. Both are capable. We would not migrate you between them without a specific reason.

Do we need Kubernetes?

Usually not. It solves real problems at scale and adds substantial operational burden below that scale. Container services like ECS or App Service handle most workloads with a fraction of the complexity, and we will say so rather than building a cluster because it looks serious.

Talk it through before you commit

A discovery call is a working session on your constraint, not a sales pitch.

Quick inquiry

Tell us what you're trying to build

A short note is enough. You'll hear back from the team, not a bot — usually within one working day.

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