Modernizing a legacy system without stopping the business
Software engineering from New Delhi, for teams in India and abroad
Good infrastructure is mostly invisible: deployments are routine, environments match, problems are noticed before customers notice them, and the cloud bill makes sense. We set up and run cloud environments, pipelines and monitoring for the systems we build and for existing applications that need a steadier foundation.
Network, compute, storage and database design on AWS, Azure or Google Cloud.
Automated build, test and deployment with GitHub Actions.
Docker images and orchestration with Kubernetes where the scale justifies it.
Terraform-managed environments that can be reviewed and recreated.
Logs, metrics, uptime checks and alerts wired to the right people.
Right-sizing and removing idle resources.
Reliable environments, repeatable deployments, visible systems.
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Networks, compute, databases and storage designed for your workload.
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Environments on the provider that matches your team and contracts.
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Moving applications from on-premise or shared hosting in planned stages.
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Automated build, test and deployment on every change.
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Consistent, reproducible environments from laptop to production.
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Orchestration for multi-service platforms that need it.
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Logs, metrics, uptime checks and on-call alerts.
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Right-sizing, scheduling and removing idle resources.
Releases done by hand from a developer's machine.
Changes tested in production because nothing else matches it.
Downtime noticed by customers first.
Costs rising faster than usage.
Recognise your situation here?
Talk to an engineerCurrent setup, risks and quick wins documented.
Moving workloads without big-bang cutovers.
Written procedures for deploys, rollbacks and incidents.
Ongoing operations under an agreed support scope.
Stateless services scaled on load; databases scaled with replicas.
Credentials in managed secret stores, never in repositories.
Restore procedures rehearsed, not assumed.
Databases and internal services kept off the public internet.
01 · Discover
Workshops with the people who run the process today. We map how work actually moves, where it stalls and what the system must never get wrong.
02 · Define
A written scope: users and roles, core workflows, integrations, non-functional requirements and a release plan you can hold us to.
03 · Architect
Data model, service boundaries, hosting, security model and the trade-offs behind each choice — reviewed with your team before code starts.
04 · Build
Short sprints with a working demo every week. Code review on every change, automated tests on the paths that carry money or data.
05 · Validate
Functional QA, role-by-role acceptance, performance checks and a security pass before anything reaches production users.
06 · Scale
Staged rollout, monitoring and a support window. Then the backlog of improvements that only real usage reveals.
Event-driven food delivery platform
Workforce management for hospital staff
AWS, Microsoft Azure and Google Cloud, plus Vercel for front-end hosting. We recommend a provider based on your team, compliance needs and existing contracts.
Often not. Many systems run well on managed containers or platform services. We recommend Kubernetes when the number of services and scale justify the operational cost.
Yes. We start with an audit, document what exists and stabilise it before changing anything major.
Yes. Everything is provisioned in your cloud accounts and managed as code in your repository.
Typically CI/CD pipelines, infrastructure as code, containerisation, monitoring, backup and recovery, security hardening and ongoing operational support.
Often, yes. We review usage, right-size resources, use reserved or savings plans where appropriate and remove idle infrastructure. Savings depend on the current setup.
Yes. After setup we can operate the infrastructure under an agreed support scope with monitoring and incident response.
Usually the Mumbai or Hyderabad regions for low latency and data residency, with other regions for international users.
Tell us what the system needs to do. We'll reply within 24 hours with questions, not a sales script.
