Cloud migration
Lift-and-shift or replatform, done with parallel runs and clean cutover plans. No migrations that require a weekend of prayer.
- Assessment and wave planning
- Data replication and cutover
- Post-migration tuning
Cloud infrastructure you can actually afford — architected for compliance, cost control, and the scale you'll reach, not the scale you imagine.
We help teams move onto the cloud without overpaying, overengineering, or ending up locked into a single vendor. Our sweet spot is the regulated middle: small enough to move fast, serious enough that an outage is a front-page problem.
What you walk away with
Drawn for your workloads, your regulator and your team's operating model, with costs estimated up front.
Every network, cluster and database defined in version control, so environments are rebuilt, not hand-made.
Commit to production with tests, security scans and blue-green releases your auditors can follow.
Dashboards, alerts, backup drills and a written plan for the bad day, run by us or handed to your team.
Each engagement is scoped to your workflow, your constraints, and your users — but these are the capabilities we bring to the table.
Lift-and-shift or replatform, done with parallel runs and clean cutover plans. No migrations that require a weekend of prayer.
Pipelines that turn a commit into a production deploy in minutes — with the guardrails compliance auditors want to see.
We run your stack so your team can focus on the product. On-call, monitoring, backups, and capacity planning handled.
Least-privilege IAM, encryption-at-rest, audit logging, and network segmentation — configured to your regulator's bar.
A reference shape for a regulated workload on AWS. Traffic enters through a hardened edge, runs on a private Kubernetes cluster, and every release goes out blue-green through the same pipeline.
A typical shape, not a template. Every engagement starts by drawing this for your systems.
A delivery console for one service. The pipeline does the work; a person decides when traffic moves.
$ git checkout 9f3c2e1 (main)
› npm ci · 1,204 packages
› test · 482 passed · 0 failed
Right-size reports-db · xlarge → largesave ₹ 18,400 / mo
Health passed · p95 182 ms · 0 errors
Tests, scans, build and rollout in one view, with the logs behind each stage a click away.
Pods are added as traffic climbs and removed when it falls, and the cost view shows what that did to the bill.
The switch to the new version waits for a named approver. Rolling back is the same button in reverse.
Illustrative screens. Names and figures are sample data.
An honest look at your current stack, costs, and constraints — and a target architecture that matches your team's operating model.
Incremental moves, parallel runs, automated validation. Your users shouldn't be able to tell the day the cutover happened.
Ongoing right-sizing, reserved-instance management, and observability tuning — so the cloud bill trends down, not up.
Running ProBank deployments on AWS for co-operative banks — elastic scale, zero capex, and a deploy-once-update-everywhere model.
Multi-tenant SaaS platform on Kubernetes, with per-tenant isolation, blue-green deploys, and automated DR.
Legacy data centre workloads migrated to AWS with a phased cutover — cutting ops overhead and unlocking elastic scaling.
Yes, with the right setup. We host in Indian regions to keep data in the country, encrypt it in transit and at rest, restrict access by role, and keep the audit logs your regulator expects. Where a workload must stay on-premises, we design a hybrid that keeps it there.
We plan for them not to. Data is replicated ahead of time, both environments run in parallel while we verify them, and the cutover is a traffic switch scheduled around your business calendar, with a tested way back.
Budgets and alerts are set per environment from day one, workloads scale down as well as up, and we review sizing regularly so you pay for what you use rather than what was guessed at launch.
Less than you might think. Applications run in standard containers on Kubernetes and the infrastructure is defined in code, so the parts that matter can move. Where a managed service saves real effort, we use it knowingly and tell you the trade-off.
That is your choice. We can run on-call with monitoring and escalation agreed up front, or train your team and hand over the runbooks, dashboards and alerts so they can run it themselves.
Tell us where you are today and where you’d like to be. A 30-minute discovery call is usually enough for us to know if we can help — and if we can’t, we’ll point you at someone who can.