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Cloud migration in any direction, chosen on measured price and performance

We move workloads between AWS, Google Cloud, Azure, European providers such as UpCloud, Exoscale and Hetzner, bare metal and on-premises, in whichever direction makes sense. First we measure what your workload really uses and test the candidate platforms, because a vCPU or a disk on one provider is not the same as on another.

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How we approach a cloud migration

A cloud migration is worth doing only if the target is better for your workload in price, performance or operations. We start from real usage in your telemetry and the current bill, run performance tests on candidate instance types and providers, and compare what the same performance costs. Leaving a hyperscaler is not always cheaper, and moving into one is not always more expensive.

The move itself is staged, with a rollback path and a tested cutover. Published examples: a crypto platform moved in stages to a self-managed Kubernetes cluster on Hetzner and then to AWS, and an UpCloud migration where architecture simplification cut costs by 60-70% versus the initial proposal before the move.

When teams call us about a migration

  • The hyperscaler bill keeps growing and you wonder whether a European provider or bare metal would be cheaper.
  • You run on bare metal or a small provider and need managed services or more regions.
  • A data center or hosting contract is ending.
  • You are not sure which provider, region or instance family fits your workload.
  • A previous migration attempt stalled halfway.

What we do

Usage and cost baseline
Real CPU, memory, disk, network and database usage from telemetry, set against the current bill, so the comparison starts from facts.
Price per real performance
Performance tests on candidate instance types and providers. On Google Cloud, E2 machines do not give the same per-CPU performance as N2D or newer families, and in our measurements comparable CPU performance cost considerably more on AWS than on UpCloud.
Target architecture
Which managed services to keep, replace or run yourself, such as databases and object storage, and what that changes for operations and on-call.
Staged migration plan
Order of services, data synchronisation, cutover windows and a rollback path for each stage, agreed before anything moves.
Kubernetes and data moves
Clusters, workloads, databases, storage and DNS moved with infrastructure as code, so the new environment is reproducible.
After the move
Right-sizing on the new platform, cost check against the baseline and documentation, or ongoing operation by our team.

How a migration runs

  1. Measure

    Usage, cost and dependencies of the current setup.

  2. Compare

    Candidate platforms tested and priced for the same performance; a recommendation with the trade-offs written down.

  3. Plan

    Target architecture, migration stages, cutover and rollback agreed with your team.

  4. Move and verify

    Staged migration, performance and cost checked against the baseline, old resources removed only after sign-off.

Discuss a migration

Technology we work with

Cloud and virtualization

  • AWS
  • Google Cloud
  • Azure
  • Exoscale
  • UpCloud
  • Hetzner
  • DigitalOcean
  • Proxmox
  • Bare metal
  • On-premises

Kubernetes and containers

  • Kubernetes
  • EKS
  • GKE
  • AKS
  • RKE2
  • Rancher
  • Docker
  • containerd
  • CRI-O
  • Helm
  • Kustomize
  • Karpenter
  • KEDA
  • HPA / VPA

Infrastructure as code

  • Terraform
  • OpenTofu
  • Pulumi
  • Ansible
  • SaltStack

Databases and messaging

  • PostgreSQL
  • CloudNativePG
  • MySQL
  • MariaDB
  • Oracle Database
  • Redis
  • Valkey
  • MinIO
  • Apache Kafka
  • RabbitMQ
  • NATS JetStream
  • Debezium
  • Apache Airflow

Related case studies

Cloud cost, DevOps 60-70%

UpCloud migration

Architecture simplification cut costs by 60-70% versus the initial proposal. After moving to UpCloud, the remaining monthly bill fell to one-half to one-third.

Read the case study
Cloud cost, DevOps 70-80%

Crypto platform migration

Staged migration to a self-managed Kubernetes cluster on Hetzner, then to AWS following AWS best practices. Tuning with the client’s developers cut costs by 70-80%.

Read the case study

Questions buyers ask us

  • Any: between AWS, Google Cloud and Azure; from a hyperscaler to European providers such as UpCloud, Exoscale or Hetzner or to bare metal; from on-premises or bare metal into the cloud; and back again. We help you choose the target before moving.

  • From measurements, not list prices. We take real usage from your telemetry, run performance tests on candidate instance types and providers, and compare what equal performance costs, together with the managed services you would lose or gain and the operational work that follows.

  • No. Compute and traffic can be much cheaper on European providers and bare metal, but managed databases, autoscaling and other services may then have to be run by your team. Migrations go both ways: one of our crypto clients moved in stages to a self-managed Kubernetes cluster on Hetzner and later to AWS.

  • Services move in stages with data synchronisation, a planned cutover window and a rollback path for each stage. The old environment stays available until the new one is verified.

  • Yes. We can hand over with documentation or keep operating it as DevOps as a service.

Tell us about your setup

Describe what you run and what isn’t working: the cloud bill, response times, releases or recurring incidents. We reply within one business day with a suggested first step, usually a short call or an audit.

Prefer email? Write to info@bigbadbyte.com. Prefer to talk? Schedule a call.