We move older systems to the cloud in planned waves. The secure foundation is built first, every cut-over is rehearsed with a way back, and monitoring is ready on day one, so the business keeps running during and after the move.
What's included
6 capabilities, delivered by one squad. Use what you need now and add more as you grow.
A list of every application, what depends on what, how risky each one is to move and the best route for each.
A secure cloud foundation with identity, networking, logging and policy rules in place before anything moves.
Each workload is rehosted, replatformed or refactored, then cut over with a rehearsal, tests and a rollback plan.
CI/CD pipelines with security scans and policy checks, and infrastructure defined as code so it can be rebuilt at any time.
Databases moved with replication that keeps old and new in step, then tuned for the cloud services they run on.
Dashboards, tracing, SLOs and runbooks, so you can see how the new platform is running from the first day.
Our approach
The usual way
Identity, networking, logging and security rules are added after workloads have already moved.
How we do it
We build the landing zone first, with network segmentation, IAM, central logging and baseline policies, before any workload moves.
The usual way
Production is switched over without a rehearsal or a rollback plan, so downtime is likely.
How we do it
Workloads move in small waves. Each cut-over is rehearsed, checked against agreed tests and has a rollback plan.
The usual way
After go-live there are no SLOs, dashboards or runbooks, only tickets.
How we do it
Pipelines, security scans, SLO dashboards and runbooks are ready at go-live, so your team can support the new platform.
Architecture
Each layer has a clear job, so the system is easier to secure, test and extend.
A review of every system, scored for risk and grouped into waves by how much the business depends on it.
Identity, network segmentation, logging and baseline controls, set up before the first workload arrives.
Cut-overs are rehearsed first, checked against acceptance tests and backed by a rollback plan.
SLO dashboards, tracing, alerts and runbooks that show how each migrated service is performing.
How we deliver
4 phases, each ending with an output you can review.
We map your systems, their dependencies and how much downtime or data loss each can tolerate (RTO and RPO), then pick a route for each.
Output: Modernisation plan
We set up identity, networking, logging and policy baselines in the target cloud.
Output: Cloud foundation ready
We move workloads in waves. Each one is rehearsed, tested against agreed checks and has a rollback plan.
Output: Workloads running in the cloud
We hand over SLO dashboards, alerts and runbooks, and keep security checks running in the pipelines after the move.
Output: Measurable cloud operations
Your team
Specialists join your squad for this work, alongside a delivery lead who keeps you updated.
Plans the migration: dependencies, wave order, data flows and how each cut-over will run.
Adds automated policy checks, security scans and deployment controls to the pipelines in every environment.
Builds the landing zone, networks and IAM baselines, all as infrastructure code.
Sets up SLO dashboards, tracing, alerts and runbooks, so day-to-day support stays calm.
Trust and control
Every cut-over is rehearsed, checked against acceptance tests and has a written rollback plan.
Security scans, compliance checks and drift detection run automatically in the pipelines.
Logs, traces and dashboards mapped to SLOs, so you can measure how the platform is running.
You keep full ownership of the code, configuration and documentation we create, with no vendor lock-in.
We pick what fits your product and team, not the other way round.
Results
We moved a global core banking system from an ageing mainframe to AWS one function at a time, keeping both ledgers in sync throughout. Operating costs fell 60%, releases became 5x faster, and there was zero service downtime.
We wrapped a hotel group's ageing PMS in a modern API layer with caching and live sync, so new guest features no longer need risky changes to the core system. It runs at 99.99% availability, with 45ms API responses.
We built AI network security for a global resort chain. It learns how devices normally behave on guest Wi-Fi and isolates suspicious ones automatically. It neutralised 99.9% of threats and detected them 2.5x faster.
We replaced a fund manager's broad VPN access with zero-trust controls that check the user, device and location, and grant privileged access only when it is needed. They cover 100% of identities and cut lateral-movement risk by 99%.
It depends on how many systems you have, how tightly they are linked and how much refactoring each one needs. Discovery produces a wave plan that sets the order and scope of each move, based on risk and business impact. A scoped project can kick off in 1–2 weeks, starting with that discovery.
We move workloads in waves instead of one big switch. Each cut-over is rehearsed, tested and backed by a rollback plan, and old and new systems can run side by side until the new one passes. When we moved a global core banking system from a mainframe to AWS one function at a time, there was zero service downtime.
The right choice differs by workload, so we decide one at a time. Rehosting is quickest but keeps old problems. Replatforming swaps parts, such as the database, for cloud services. Refactoring takes longer but makes the system easier to scale and change. Discovery scores each workload for risk and return before we recommend a route.
A landing zone is the secure base your workloads move into: identity and access rules, network segmentation, central logging and baseline policies. We build it before anything moves, because adding these controls after go-live is slower and riskier. It also gives every migration wave the same security and logging from the start.
Your team gets SLO dashboards, tracing, alerts and runbooks for each migrated service, so support doesn't rely on tickets and guesswork. Security scans and policy checks keep running in the pipelines. We can stay on to tune performance and cost, or step back and leave you with full ownership of the infrastructure code.
Cost depends on the number of systems, how much refactoring they need and how many waves the plan has. After a first call we suggest the right team and give a rough quote range. Well-defined work can be quoted at a fixed price with milestones, or you can use a managed squad on a flat monthly fee.
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