We move workloads to AWS, Azure, or GCP with an honest per-system plan - rehost, re-platform, re-architect, repurchase, retire, or retain - then run them under landing-zone guardrails, FinOps, and ops discipline. Symbiosis Cloud Platform is how we plan and operate that end to end.
Moving a monolith unchanged onto expensive compute is how companies pay cloud prices for data-center architecture. We sort workloads honestly: some move as-is, some need re-architecture, some should retire, and a few belong where they already are.
Month one of the bill often looks fine. Month nine - after autoscaling meets forgotten environments and cross-region transfer - is where FinOps earns its keep. Tagging, budgets, and unit economics go into the landing zone so cost is designed in.
Kubernetes is a power tool. We use it where fleet scale and workloads justify it, and we recommend simpler managed services when they do not. The goal is a platform your team can operate at 2 AM.
Sprint, then phase, then retainer
Assessment first, always. Scope and investment are bespoke to your estate - book a demo and we'll walk the plan together.
CLOUD READINESS SPRINT
Discovery, disposition, landing-zone blueprint, migration wave plan, business case.
- → Workload inventory & 6R map
- → Landing-zone blueprint
- → Wave plan & business case
MIGRATION PHASE
Landing zone built, pilot wave migrated, then production waves with reconciliation.
- → Landing zone live
- → Migrated waves
- → Runbooks & observability
- → Cost baseline
MANAGED CLOUD RETAINER
Operations + FinOps + reliability engineering as a monthly service.
- → 24×7 ops
- → Monthly cost actions
- → Quarterly reviews
Run-rate, measured honestly
42%
lower run-rate by month nine
Measured against the pre-migration baseline, not against a projected worst case.
It went UP 12% first, during lift-and-shift. We budget for that spike, because pretending it does not happen is how migrations lose trust.
370
workloads assessed before anything moved
Each one given a 6Rs decision rather than a blanket rehost.
11
workloads retired instead of migrated
The cheapest modernization is the one you do not do.
Cloud & Infrastructure, answered
AWS, Azure, or GCP - which do you recommend?
Whichever your constraints pick. Existing agreements, team skills, data residency, and specific services usually decide in the first workshop. We're provider-pragmatic across all three; when it's a coin flip, we'll say so and pick with you.
How long does a typical migration take?
A pilot wave lands in weeks; full estates take quarters, not years, when run in waves. The readiness sprint produces a dated wave plan - until discovery is done, any timeline is fiction, which is why we do discovery first.
Our cloud bill exploded after our last migration. Can that be fixed?
Usually, and often fast. The first month of FinOps work typically finds real savings in rightsizing, scheduling, orphans, and storage tiers - then commitments and architecture changes take it further. What lasts is cultural: cost visibility per team, reviewed monthly.
Do we need Kubernetes?
Maybe. Many services, multiple teams, and variable traffic - it often pays. Three apps and five engineers - managed containers or serverless will serve you better. We're happy to talk you out of Kubernetes.
Start with the sprint.
Fixed fee, few weeks, and you end up with a plan you could execute without us. Most clients don't - but the leverage is yours either way.