Move from on-prem or a legacy cloud to a modern architecture — without downtime, without surprise bills, and without losing what already works.
Cloud Migration is more than “lift and shift”. A migration worth doing improves cost, reliability, and delivery speed. One done without a plan frequently increases all three. We plan and execute migrations that hit the actual business goal behind the move — without downtime, without surprise bills, and without losing what already works.
We inventory every application, dependency, and dataset. Each workload gets a recommended migration pattern — rehost, replatform, refactor, or retire — with cost estimates and risk ratings, so trade-offs are discussed with numbers instead of opinions.
Right-sized target on AWS, GCP, or Azure — using managed services where they pay off, avoiding them where they do not. Infrastructure-as-code (Terraform / Pulumi / CDK) from day one so your environment is reproducible, reviewable, and auditable.
Parallel environments, dual-writes, controlled cut-over windows, and rollback plans so production keeps running through the migration. No heroic weekends, no silent data loss, no ‘does anyone have the on-call phone’.
Cost tuning, autoscaling, observability, and automation after landing — so the cloud bill trends down month over month instead of drifting up. The work does not stop at cutover; that is when it actually starts paying off.
A ranked, honest report of what you run, what it costs, what depends on what, and which workloads are worth migrating — versus which should be retired or replaced before they waste migration budget.
Timeline, cost, risk, and migration pattern per workload. Defensible in front of the CFO, executable by your engineering team, with rollback strategies documented up front — not invented under pressure.
Fully-provisioned target environment: IaC, CI/CD, observability, secrets management, and network topology. Your team can read it, extend it, and roll it back — without relying on a consultant’s laptop.
Workloads moved with zero scheduled downtime, post-migration cost and performance review, and an ongoing optimisation playbook — so the savings compound instead of eroding in month three.
Right-sizing, autoscaling, spot/reserved instance strategy, and ruthless shutdown of idle resources compound into a sustained 25-40% cost reduction — not a one-time win that erodes by quarter two.
Multi-AZ deployments, managed failover, and modern observability quietly move uptime from two nines to four. On-call engineers sleep better; customer-facing SLAs tighten without heroics.
CI/CD pipelines, ephemeral preview environments, and infrastructure-as-code mean developers ship to production in minutes instead of waiting on a quarterly release train. Lead time drops measurably.
Traffic spikes become an autoscaling event, not an emergency page. Expansion into new regions or customer segments happens without procuring hardware or re-architecting during a sales cycle.
Current TLS, managed KMS, audit logs, network segmentation, and a compliance posture aligned with AWS/GCP/Azure best practices. Enterprise procurement and security reviews pass without retrofits.
Budget alerts, tagging discipline, cost dashboards, and optimisation routines baked in so finance never discovers a $40K surprise in the monthly invoice. Cloud spend becomes predictable and owned.
Not by default. Cloud is cheaper when you use it well — right-sized, autoscaled, managed services where they help, ruthlessly decommissioned when workloads go idle. We’ll show you the actual numbers for your workloads in the assessment phase. If the math says stay on-prem, we’ll say so.
Depends on your stack, compliance needs, existing tooling, and customer expectations. All three are capable for almost every workload. We’ll recommend based on your constraints (data residency, existing contracts, team skills, regulatory alignment) — not a preferred-partner vendor we happen to have a kickback with.
For almost every workload, yes. Feature flags, dual-writes, parallel environments, and blue-green cut-over patterns let production keep running during the migration. Some edge cases — tightly-coupled legacy systems, certain database engines — need a short maintenance window, but we tell you that in the assessment, not the day before cutover.
That’s when the savings actually accrue. Post-migration we run a cost and performance review, set up budget alerts, standardise IaC modules, and either hand over to your in-house team or stay on as a retained partner to keep optimising. Migration projects fail most often in month three, not month three-of-the-migration — we stay accountable past the go-live.
