Production Deployments & Cloud Migrations
Workloads moved to cloud or Kubernetes and taken live, with a rehearsed cutover and a rollback at every step.
Book an architecture reviewWhat the work covers
Migration and go-live engineering for production systems: assessment and dependency mapping, target design, data migration, cutover rehearsals, the live cutover itself, and hypercare afterwards. Lift-and-shift, re-platform or containerise, chosen per workload rather than by default.
- Migration assessment, dependency mapping and wave planning
- Lift-and-shift, re-platform or containerise, decided per workload
- Data migration and synchronisation: DMS, replication, dual-write
- Cutover runbook, rehearsals and rollback plan
- Post-go-live hypercare, tuning and cost review
What you receive
- 01Migration plan with wave sequencing
- 02Target environment as code
- 03Cutover runbook and rehearsal report
- 04Hypercare report and recorded hand-over
How to buy this
Typical engagement models
Latest from the blog
Related writing from the blog.
6 Oct 2026 · 7 min read
OpenShift Pod Stuck in Pending: How to Debug Taints, Tolerations, Affinity and Topology Spread
A Pod stays Pending when no node passes every required rule, and often no single rule is wrong. How the scheduler filters nodes, what taints, affinity and topology spread each guarantee, a worked example where correct rules combine badly, and a six-step workflow to find the blocking rule.
6 Oct 2026 · 9 min read
OpenShift Networking Deep Dive: OVN-Kubernetes Architecture and Traffic Flow
Follow one request through an OpenShift cluster: how OVN-Kubernetes turns Kubernetes objects into a logical network, how OVS and Geneve move the packets, where Services, NetworkPolicy, the router and egress fit, and how to trace a failing connection layer by layer.
4 Oct 2026 · 9 min read
Sitecore on Azure PaaS: How We Moved a National Tourism Platform Off VM Scale Sets
How a national tourism platform moved Sitecore, .NET and a React front end from VM Scale Sets to Azure PaaS behind Cloudflare. In one 24-hour window, Cloudflare served 99.2% of 55.8 million requests without reaching the origin.
Next step
Bring me the platform decision you have to get right.
A 30-minute architecture review call. You leave with a written view of the risk and the next step, whether or not we work together.