Cloud infrastructure and migration
Hosting designed around what your application actually needs, with the monitoring and backups that make it safe to rely on.
Kolkata and West Bengal
You own the source code
Support after launch
Cloud is not automatically cheaper or more reliable. It is cheaper and more reliable when the architecture matches the workload — the right instance sizes, storage tiers that reflect how often data is read, and autoscaling configured against real traffic patterns rather than guesses.
We design and run cloud infrastructure on AWS, Azure and Google Cloud, and we are equally willing to tell you when a single well-configured server is the more sensible answer for your scale.
Problems this solves
Bills that keep climbing
Oversized instances left running, forgotten storage volumes and untiered backups quietly turn into a significant monthly cost.
Backups nobody has tested
A backup that has never been restored is an assumption, not a safeguard.
No warning before failure
Without monitoring and alerting, the first sign of trouble is a customer telephoning to say the site is down.
Deployments that require downtime
Manual releases done out of hours are slow, stressful and easy to get wrong.
What the work covers
Architecture design
Compute, storage, networking and security groups sized to the workload.
Migration
Moving existing applications and data with a tested rollback plan.
CI/CD pipelines
Automated build, test and release so deployment stops being an event.
Backup and recovery
Scheduled backups with restores actually rehearsed, not assumed.
Monitoring and alerting
Metrics, logs and alerts that reach a person before customers notice.
Cost optimisation
Right-sizing, reserved capacity and storage tiering reviewed against real usage.
What sits between your users and your data
A production cloud deployment is a series of layers, each with a defined job. Security and monitoring are not a layer at the bottom — they cut across every one of them.
Application
Your software, running on managed compute.
API and load balancing
Traffic distribution, TLS termination and health checks.
Cloud infrastructure
Compute, networking, autoscaling and availability zones.
Database
Managed instances, read replicas and automated snapshots.
Security
IAM roles, secrets management, encryption in transit and at rest.
Monitoring
Metrics, structured logs, tracing and alert routing.
Scaling
Capacity that follows demand instead of peak-provisioning.
What you end up with
Infrastructure sized to actual load
Restores that have been rehearsed
Alerts before customers notice a problem
Deployments without scheduled downtime
A clear picture of where cloud spend goes
Accounts and billing owned by you
Technologies we commonly use for this
The stack is chosen per project — from your requirements, your existing systems and who will maintain it afterwards. This list is what we reach for most often, not a fixed answer.
Ways to work together
Model A
Fixed scope, fixed price
The scope is written down in detail before work starts, and the price is fixed against it. Changes are quoted separately as they come up.
Best for: Well-understood projects — a website, a defined module, a rebuild.
Model B
Monthly retained team
An agreed number of developer days each month, directed by your priorities. Scope can move without renegotiating a contract.
Best for: Products that will keep evolving after the first release.
Model C
Phased delivery
The system is split into phases that each ship something usable. Every phase is quoted before it begins.
Best for: Large ERP, SaaS and platform builds where the full scope is big.
Model D
Support and maintenance
Ongoing care for a system that already exists — ours or someone else’s — covering fixes, updates and small enhancements.
Best for: Live systems that need a reliable pair of hands.
Sectors we apply this in
Frequently asked questions
It depends on your workload, your team’s existing familiarity and the services you actually need. AWS has the broadest catalogue, Azure fits organisations already invested in Microsoft, and Google Cloud is strong for data and analytics work. We recommend based on your situation, not a partnership.
Because capacity becomes something you adjust rather than something you buy years ahead, and because managed services remove a category of maintenance work. The caveat is that badly configured cloud is more expensive than a well-run server — the saving comes from the architecture, not the label.
Yes. We assess what can move as-is and what needs adjustment, then run the migration with a tested rollback so a bad outcome is recoverable.
Encryption in transit and at rest, least-privilege access roles, secrets kept out of source control, network isolation for databases, and logging of administrative actions.
Topics people search for
Related services
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Software Maintenance
Keeping working systems working — including ones built by somebody else.
Digital Transformation
Moving a business off paper and spreadsheets without stopping the business to do it.
Talk through your project with a developer
You will speak to someone who writes the software, not a salesperson working from a script. Bring your requirements, or just the problem.