Expertise / Cloud Infrastructure

Infrastructure Engineering

Cloud to on-prem,
without the cutover drama

Assessment, target architecture, migration and the handover after it — cost, residency or control. Send the architecture and a recent bill. Estimate within 24 hours.

Request a 24h estimateAI & LLM expertise
What we do

Migration capabilities

A migration is mostly discovery and rehearsal. The move itself should be the least interesting day of the project.

Workload and dependency assessment

We map what actually runs: services, data stores, scheduled jobs, managed-service dependencies and the undocumented links between them. Nothing gets moved before it is on the map.

Target architecture design

Full on-premise, hybrid or multi-cloud, chosen against your data residency, latency and cost constraints — with the trade-offs of each option written down, not implied.

Kubernetes and container migration

Cluster topology, ingress, storage classes and secrets rebuilt on the target platform. Managed-service dependencies replaced with self-hosted equivalents that your team can operate.

Database and legacy migration

Schema and data movement with replication-based cutover, plus a route for legacy applications that were never designed to be portable.

CI/CD and observability continuity

Pipelines, staging environments, monitoring and structured logging are adapted alongside the workloads, so the day after cutover looks like the day before.

Cost analysis and right-sizing

We measure real utilisation, identify waste and size the target for it. The output is a spend model you can check against your own invoices.

Approach

Three ways to move, chosen deliberately

Most projects combine all three, applied per service group rather than to the whole estate at once.

Lift-and-shift

Move workloads with minimal change to reach the target platform quickly, then optimise once the new environment is proven. Lowest risk, highest short-term duplication.

Refactoring

Rework the parts that are bound to a specific provider — managed queues, proprietary storage APIs, serverless entry points — so the result is genuinely portable.

Phased rollout

Move one bounded service group at a time behind a stable interface, running both environments in parallel until each phase is verified. Cutover becomes routine rather than an event.

After go-live

Performance profiling
Resource tuning
Monitoring and alerting
Backup and restore drills
Runbooks
Architecture documentation
Knowledge transfer
Optional ongoing operations
Technology

What we work with

Orchestration
  • Kubernetes
  • Docker
  • Helm
  • Nomad
Data
  • PostgreSQL
  • MongoDB
  • ClickHouse
  • Redis
Delivery
  • CI/CD pipelines
  • Staging environments
  • Infrastructure as code
  • Rollback procedures
Operations
  • OpenTelemetry
  • Sentry
  • Structured logging
  • Runbooks
Related

Connected expertise

AI & LLM→

Self-hosted inference for workloads that cannot send data to a third-party provider.

IoT telemetry→

Telemetry platforms deployed to cloud, on-premise or hybrid with the same architecture.

CRM, ERP & CMS→

Business systems that often stay on-premise next to the stack you just migrated — including the live CRM operations desk.

FAQ

Cloud and on-premise moves

Both directions. Workload assessment, Kubernetes, CI/CD, observability and a cutover that does not assume a long dual-run.
Only when they were never designed to be portable. The first pass is right-sizing and moving what already can move.
Current architecture, a recent bill, candidate target topology and where the savings actually are — not a generic cloud scorecard.
Send the architecture and a recent invoice. We return a 24h estimate within one business day.

Send the brief. Estimate in 24 hours.

Current architecture and a recent invoice. Assessment scope and a candidate target within one business day.

Send the briefSee all services