TECHNOLOGY SERVICE · 05
Cloud & DevOps
Cloud foundations, migrations and delivery pipelines built as code and handed to your team. For organisations moving off ageing infrastructure, or already in the cloud and unhappy with the bill, the deploy process or both.
Landing zone first, workloads second
Moving a workload into an account with no guardrails creates a problem you will pay for later. The foundation comes first: account or subscription structure, network topology, identity and access, logging, backup and tagging, all expressed as infrastructure code in your repository from the beginning.
That foundation is what makes later migrations repeatable. The second workload should take a fraction of the effort of the first, and if it does not, the landing zone was wrong.
- Account, subscription and network baseline as code
- Centralised identity, logging and backup policy
- Tagging standard that makes cost attributable by team
Migration waves ranked by risk
Applications are grouped into waves by dependency and blast radius, starting with something real but recoverable rather than the busiest system in the estate. Each wave has a rehearsed cutover, a rollback path and a written decision on whether the workload is rehosted, replatformed or left alone.
Some systems should not move. Saying so early saves more money than any optimisation exercise afterwards.
Cost is a design constraint
Cloud bills grow through idle environments, oversized instances, forgotten storage and cross-region traffic nobody meant to create. Budgets, alerts and rightsizing reviews are configured as part of the build, and dashboards are broken down by team so the people who create spend can see it.
Commitment-based discounts are only recommended once usage has settled, since locking in a bad shape is worse than paying on demand.
Deploys should be boring
A pipeline that runs on every merge, tests before it promotes and can roll back in minutes changes how a team behaves. Environments are rebuilt from code rather than patched by hand, secrets live in a managed store, and access to production is granted through review rather than by shared credentials.
What you get
- A documented landing zone with infrastructure as code in your own repository
- Network, identity and access baseline with least-privilege roles
- CI/CD pipelines covering build, test, promotion and rollback
- Migration wave plan with rehearsed cutover and rollback runbooks
- Cost dashboards, budgets and alerts attributed by team or product
- Secrets management and key rotation policy in operation
- Backup, restore and disaster recovery tested rather than assumed
- Handover workshops with your platform and operations staff
Typical outcomes
+72%
Faster deployment cycles after pipeline rework
20-35%
Typical cloud spend reduction in the first year
99.95%
Infrastructure uptime under our operating model
Stack we use
Questions
Yes. AWS and Azure both operate UAE regions, and Oracle and others have local capacity too, so residency is normally satisfiable without leaving hyperscale infrastructure. Region choice is fixed in the landing zone design and enforced by policy afterwards.
No. Infrastructure is written as code you own, and portable choices such as containers and managed Postgres are preferred where the cost of portability is reasonable. Where a managed service is clearly better, we use it and note the trade-off.
Two routes work here: we run the platform under a support agreement, or we build it and place an engineer with you to operate and teach it. Both are priced monthly and can be ended at a month boundary.
Cutovers are rehearsed in a staging environment and scheduled around your business calendar, with most falling in a weekend window. Each wave carries a rollback path that is tested, not just written down.
Related
Next step
Start with a 20-minute call.
Tell us the roles you need filled, the system you need built, or both. You will speak to someone who has done the work, and leave the call with a route forward.