DevOps & Cloud
Cloud Migration
Planned workload moves to cloud with cutover paths and risk controls.
Cloud migration programs that prioritize business continuity: inventory, dependency mapping, target design, pilot migrations, and controlled cutovers. We treat data movement, DNS, secrets, and rollback as first-class work—not an afterthought on migration day.
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Who it’s for
- • Companies leaving a data center or legacy hoster
- • Teams consolidating workloads onto AWS, Azure, or GCP
- • Orgs migrating after an architecture decision is made
Problems we address
- • Dependencies between apps are poorly documented
- • Previous migration attempts caused extended downtime
- • Success criteria for cutover were never defined
Expected outcomes
- • Discovery and dependency mapping before move waves
- • Pilot migrations that prove the pattern
- • Cutover runbooks with rollback criteria
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Workload and dependency inventory
Target environment preparation
Data migration and sync strategies
DNS, TLS, and traffic cutover planning
Post-migration hypercare window as scoped
Technology
Representative technologies used for this service. Final stack depends on your estate.
- AWS
- Azure
- Google Cloud
- Terraform
- Docker
- Cloudflare
Architecture
Delivery pipeline
Source control through CI into containerized deploy and cloud runtime.
Deliverables
- • Migration wave plan
- • Executed pilots and production cutovers as scoped
- • Cutover and rollback runbooks
- • Post-migration issues log and recommendations
Out of scope
- • Physical hardware decommission logistics
Timeline
Typical timeline
4–16 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Unified metrics, logs, and traces so systems explain themselves under load.
Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
We recommend per workload. Some systems should move with minimal change first; others benefit from containerization or managed services during the move.
Often yes using replication or staged cutovers. Achievable downtime depends on data size, change rate, and application tolerance.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.