The target cloud is not ready
Moving workloads before accounts, networking, IAM, logging and deployment paths exist usually creates expensive chaos.
All servicesAWS, Azure and GCP Migration
Move to cloud with less risk, clearer cost and a platform your team can run.
CloudForge plans and executes migrations to AWS, Azure and Google Cloud with landing zones, networking, IAM, data migration, CI/CD, observability and cost controls designed before the cutover.
The symptoms behind the search
Migration cost is guessed
Cloud bills can rise after migration when sizing, storage, egress and commitments are not modeled early.
Teams inherit a mystery platform
A migration is not done until engineers can deploy, monitor, troubleshoot and operate the new environment.
How we approach it
Migration quality is determined before the cutover window
A cloud migration is more than moving virtual machines or containers. It changes identity, networking, security, delivery, observability, backup, cost and the daily operating model. A workload that lands without those foundations is technically migrated but operationally unfinished.
CloudForge begins with business drivers, application inventory and dependency discovery. Each workload receives an explicit strategy such as retire, retain, rehost, relocate, repurchase, replatform or refactor. Migration waves are then designed around dependencies, risk and the ability to learn.
Landing zones, infrastructure as code, CI/CD, monitoring and billing allocation are built before critical cutovers. Data migration and rollback are rehearsed with production-scale evidence, and the source environment is retired only after the agreed recovery window closes.
Assessment and portfolio strategy
Build the business case and choose a migration path for each application and dependency.
- Application and dependency inventory
- 7 Rs rationalization and wave planning
- TCO, risk and readiness assessment
Landing zone and security
Create a governed AWS, Azure or Google Cloud foundation before production workloads arrive.
- Account, subscription or project hierarchy
- Identity, network and security baselines
- Central logging, policy and billing exports
Application and data migration
Execute controlled waves with a tested cutover, validation and rollback path.
- Rehost, replatform and modernization patterns
- Replication, synchronization and data validation
- Traffic shift, DNS and rollback runbooks
Target operations and optimization
Make the new platform deployable, observable and financially owned from its first production day.
- Infrastructure as code and CI/CD
- SLOs, dashboards, alerts and runbooks
- Rightsizing, allocation and commitment timing
Practical deliverables, not just advice
The output is designed for engineering teams that need to act: roadmaps, controls, dashboards, automation, runbooks and implementation support.
Migration roadmap
Application inventory, dependency mapping, wave plan, cutover strategy and risk register.
Cloud landing zone
Accounts, subscriptions or projects, networking, IAM, logging, security baselines and environment structure.
Data and application move
Migration patterns for databases, APIs, workers, Kubernetes, VMs and managed services.
Operations handover
CI/CD, dashboards, alerts, runbooks and team enablement for the new platform.
Outcomes your team can keep improving
Defensible migration plan
Every workload has a business reason, strategy, dependency map and owner.
Ready landing zone
Security, networking, logging and delivery paths are proven before scale.
Rehearsed cutover
Data validation, traffic movement and rollback decisions have named owners.
Operable target state
The team can deploy, observe, recover and explain cost after migration.
This engagement is a strong fit when
- A data-center exit or contract deadline requires a controlled migration program
- Workloads need to move between cloud providers, accounts or regions
- A lift-and-shift plan lacks landing-zone, cost or operating detail
- Applications need selective modernization without turning migration into an open-ended rewrite
Principles that guide the work
- Choose a migration strategy per workload rather than forcing one pattern
- Build and test the landing zone before production waves
- Rehearse data validation, traffic shift and rollback with realistic scale
- Delay large rate commitments until target-state usage is stable
From first look to handover
Assess
We map apps, data, dependencies, traffic, compliance, deployment process and current cost.
Design
We design the target architecture, migration waves, rollback paths and operational model.
Migrate
We move workloads in controlled waves with testing, observability and clear ownership.
Optimize
We right-size, add commitments, automate operations and hand the platform to your team.
Tools we can work with
Improve the stack you already have
We usually make your current tools cleaner before recommending a switch. The goal is a better operating model, not a shiny tool migration.
- AWS
- Azure
- Google Cloud
- Terraform
- OpenTofu
- Kubernetes
- Docker
- GitHub Actions
- Azure DevOps
- CloudWatch
- Datadog
- Prometheus
Research the decision before the call
Use these practical CloudForge guides to understand the operating model, tradeoffs and next steps connected to this service.
Cloud migration strategy guideThe 7 Rs, landing zones, wave design, data cutover and target-state operations.AWS Well-Architected checklistValidate workload risk and remediation priorities before or after migration.DevOps and SRE operating modelBuild delivery and reliability into the target platform.
Questions
What people ask before we start
Often yes, depending on the application and data model. We design the cutover and rollback strategy after assessing dependencies and state.
Ready to turn this into a working plan?
Book a 30-minute call and we will define the fastest path to measurable cloud savings, safer releases or a more reliable platform.