Cloud Solutions
Migration, modernisation and the unglamorous discipline of running things well: landing zones, guardrails, observability and a cloud bill that reflects deliberate decisions rather than accumulated defaults.
Overview
We do the assessment and landing-zone work before anything moves, migrate in rehearsed waves with a defined rollback, and hand over an operating model your own engineers can run without us.
Typical engagement
Starts with: a short, fixed-scope discovery
First release: in production early, not at the end
Team: named in the proposal
Exit: documented and rehearsed from day one
Capabilities
Assessment, wave planning and execution across rehost, replatform and refactor paths, with rollback defined for every wave.
Containers, managed services and serverless designed around your actual traffic profile and failure tolerance.
Account structure, network design, identity, tagging and policy guardrails codified from day one.
Spend attribution, rightsizing, commitment planning and unit-economics reporting the finance team can use.
Multi-AZ and multi-region design, with backup and restore rehearsed rather than assumed.
Monitoring, patching, incident response and capacity planning under an agreed service level.
How we deliver
Step 01
Discovery of the estate: dependencies, licensing, data gravity, compliance constraints and a migration scorecard per workload.
Step 02
Accounts, networking, identity, logging and policy as code, established before the first workload moves.
Step 03
Low-risk workloads first to prove the runbook, then progressively harder ones with measured cutover windows.
Step 04
Post-migration tuning, cost review cycles and an operating model your team owns.
Technology
We keep a deliberately narrow toolset so the depth is real. Within it, the choice is made per engagement based on your team and your constraints rather than our preferences.
Where your team already knows a technology well, that usually outweighs a marginal technical advantage elsewhere — and we will say so.
| Area | Tools and platforms |
|---|---|
| Platforms | AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure |
| Orchestration | Kubernetes, EKS, AKS, GKE, ECS, Docker |
| Infrastructure as code | Terraform, CloudFormation, Bicep, Ansible |
| Operations | Grafana, Prometheus, CloudWatch, OpenTelemetry |
Where this applies
A single live picture of an operation for teams currently working from spreadsheets, email and telephone — built around the exceptions rather than the happy path.
Moving an existing estate to cloud in rehearsed waves, with the landing zone, guardrails and cost attribution established before anything moves.
Questions
The questions clients actually ask about this practice, including the awkward ones.
No. Our architects work across AWS, Azure, Google Cloud and Oracle Cloud Infrastructure. Where a client has no existing commitment we recommend based on workload fit, data residency and the skills already in the team — and where an organisation already runs Oracle Database or Oracle applications, the licensing case for OCI is often decisive.
A single application is typically a matter of weeks including hardening. A full estate runs in waves over months, with business value landing from the first wave rather than at the end.
Usually a substantial part of it. Rightsizing, storage tiering, commitment coverage and removing orphaned resources recover meaningful spend early. Deeper savings need architectural change, which we cost separately.
Yes, as a managed service with defined response and resolution targets, or as a co-managed model where we cover out-of-hours and your team runs business hours.
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Explore serviceStart a conversation
An hour with our team, no charge and no obligation. You will leave with a point of view on the problem whether or not you work with us.
Monday to Saturday, 10:00 – 19:00 IST
