Everything as code
Terraform and Bicep modules, policy-as-code, no console drift and reproducible environments from dev to production.
Cloud & Platform
Lifting servers into someone else's data centre rarely pays back. We modernise the architecture as we migrate: landing zones with real guardrails, containerised workloads that scale to demand, automated recovery, and a FinOps practice that keeps the invoice defensible.
0+
Workloads migrated
0%
Average infrastructure cost reduction
0%
Managed platform availability
Overview
A migration is only as good as the platform it lands on. We build multi-account or multi-subscription landing zones with identity, network segmentation, policy enforcement, logging and cost allocation established before the first workload arrives.
Application treatment is decided per workload against evidence — retire, rehost, replatform, refactor or replace. We are candid when refactoring is not worth it, and equally candid when a rehost will simply relocate a problem.
Then we make day two boring: golden pipelines, autoscaling, blue/green releases, tested disaster recovery, SLO-based alerting and monthly cost reviews with named owners.
Terraform and Bicep modules, policy-as-code, no console drift and reproducible environments from dev to production.
Documented RTO/RPO, automated failover, and recovery drills we actually run and report on.
Zero-trust networking, least-privilege identity, encryption everywhere and CSPM guardrails that block misconfiguration.
Tagging standards, showback dashboards, commitment planning and rightsizing on a monthly cadence.
What we build
The components below are engineered patterns we have shipped repeatedly — not concepts we would be exploring for the first time on your project.
Account topology, network segmentation, identity federation, guardrail policy and cost allocation delivered as reusable modules.
Wave planning, automated discovery, dependency mapping, cutover runbooks and rollback for every workload.
Multi-tenant clusters with GitOps delivery, autoscaling, secrets management, network policy and cost visibility per namespace.
Multi-AZ and multi-region patterns, automated failover, backup immutability and DR drills with published results.
Unit-cost dashboards, anomaly alerts, savings-plan modelling and rightsizing recommendations tied to owners.
Event-driven functions and managed services that remove undifferentiated operations from your team's plate.
Capabilities
The full scope of the practice. Engagements typically draw on a focused subset — this is the bench you have access to.
Business impact
Figures are medians across delivered engagements in this practice. We will baseline your own numbers during discovery rather than promise these.
41%
Rightsizing, commitment coverage, storage tiering and shutdown automation for non-production estates.
18×
Environments that took three weeks of tickets created in under an hour from a self-service template.
< 15 min
Automated failover with tested runbooks replaces recovery plans that had never been exercised.
Zero
Parallel-run migrations with reversible cutovers, executed inside agreed change windows.
Technology stack
Selected per engagement against your existing estate, your team's skills and total cost of ownership — never by partnership tier.
AWS
Azure
Google Cloud
IaC & GitOps
Containers
Observability
How we deliver
Six stages, each with a defined output. You can stop after any one of them and still hold something useful.
Automated discovery, dependency mapping, cost baseline, risk register and a business case with sensitivity ranges.
Landing zone, identity model, network topology, security guardrails, tagging standard and operating model.
Migrate a representative slice end to end to validate patterns, tooling, performance and the cutover playbook.
Wave-based execution with parallel running, automated validation and reversible cutovers.
Containerise, decompose or replatform the workloads where the return justifies the change.
SLO-driven monitoring, 24×7 support options, monthly FinOps review and continuous Well-Architected remediation.
Engagement models
Three commercial shapes. Most clients begin with an assessment and move into delivery once the plan is agreed.
From $12,000
Two to four weeks. Produces a prioritised backlog, target architecture, risk register and a costed delivery plan you own outright.
Most common
Scoped per phase
Well-bounded phases priced against agreed acceptance criteria. Suited to migrations, integrations and defined product increments.
Monthly retainer
An embedded team — lead, engineers, QA — working in your sprints and tooling with US-hours overlap from our India centre.
Indicative ranges for planning purposes. Final pricing follows scope confirmation — we do not quote before we understand the problem.
FAQs
We baseline current total cost — hardware refresh, licensing, hosting, DR, and the staff time absorbed by maintenance — then model target-state cost across three scenarios with explicit assumptions. Most cases only work with modernisation and FinOps included, so we show the naive lift-and-shift number too. You get a model you can challenge, not a vendor slide.
Deliberate multi-cloud is fine — using BigQuery for analytics while running applications on Azure, for example. Symmetrical multi-cloud, where everything must run anywhere, roughly doubles platform cost and halves your ability to use managed services. We recommend a primary platform with clear, justified exceptions.
Frequently. We start with a Well-Architected style review across security, reliability, cost and operations, produce a prioritised remediation backlog, then stabilise before we optimise. Undocumented estates get an as-built discovery phase first.
SLO-based monitoring and alerting, incident response with defined severities and response times, patching and upgrade management, backup verification, DR drills, security posture management, and a monthly service review covering cost, incidents and improvement actions.
Guardrails before workloads: budget alerts, mandatory tagging enforced by policy, instance-type restrictions, non-production shutdown schedules and anomaly detection. Then a monthly FinOps cadence where every cost centre has a named owner and unit-cost trend.
CI/CD, GitOps, Kubernetes, observability and internal developer platforms that make releases unremarkable.
Azure, Microsoft 365, Power Platform, Dynamics 365, Fabric and Copilot — delivered by a Microsoft-first practice.
Offensive testing, SOC and SIEM, identity, cloud security and compliance programmes for ISO, GDPR and HIPAA.
Lakehouse platforms, ETL/ELT pipelines and governed analytics that turn scattered systems into one trusted layer.
Cloud & Platform
Send the context — current systems, constraints, what you have already tried. An architect from this practice will reply, usually within one business day.