Does this replace AWS migration tools?

No. Agents drive the AWS services you would use anyway, such as Application Migration Service and DMS, and check the results between steps.

What access do agents need to the data center?

Read access to discovery data, flow logs and config to start. Cutover steps run only with the permissions and approvals you grant per wave.

Can it work with a migration partner?

Yes. Partners and in-house teams see the same plans, runbooks and reports, so handoffs between them stop losing context.

What happens if a cutover goes wrong?

You set the rollback triggers before the window opens. If a check fails, agents stop and propose the rollback for approval.

AWS Partner

SOC 2 Reports

Frontier Resolutionfor Cloud Migration

Assessment, wave planning and cutover run by agents, verified after every wave.

Connect your source environment and your AWS landing zone. Agents map every server, database and dependency, pick a strategy for each workload from the 7 Rs, plan the waves, run the cutovers you approve, and verify each wave before the next one starts.

Book a Demo See how it works

Wave 3 readiness checkready with 1 fix

billing stack: 14 servers, 2 databases, cutover Saturday

Strategy: 11 rehost, 2 replatform to RDS, 1 retire
Dependencies: Calls ledger-api, still on-prem until wave 5
Blocker: Firewall rule missing for ledger-api over Direct Connect
Evidence: Flow logs, discovery data, runbook diff
Plan: Add the rule, replicate, cut over 02:00 to 04:00

Checked in 5m. Waiting for migration lead approval

[The work behind every migration wave]

The plan says twelve waves.Wave three is already late.

01The manual work

Discover

Teams interview app owners, export CMDB sheets and trace dependencies by hand. Every cutover weekend surfaces one they missed.

02The agent handoff

Wave ready

Frontier agents map dependencies from real traffic, choose a strategy per workload, and prepare each wave with its runbook and checks.

03Your engineers’ role

Approve

Set the order, the windows and the rollback rules. Approve each cutover and decide when the old system goes dark.

[Where CloudThinker fits]

Your stack stays.Agents work inside it.

01Source estate

Already in your data center

VMware vSphereVirtual machines and dependencies
Linux and Windows serversHosts, ports and services
DatabasesPostgreSQL, MySQL, Oracle and SQL Server
NetworkFirewall rules and DNS records

Discovery is read-only

02Target cloud

Where it lands

AWSApplication Migration Service, DMS, Migration Hub
AzureAzure Migrate and Database Migration Service
Google CloudMigrate to Virtual Machines, Database Migration Service
TerraformLanding zone and target infrastructure

Your landing zone, your rules

03Migration

CloudThinker

Map dependenciesWho talks to whom, before you move
Plan the wavesGrouped by risk and dependency
RehearseDry runs and checks before cutover
VerifyEach wave checked against its baseline

Cutover runs on approval

04Response

Waves, not war rooms

ServiceNowChange requests per wave
SlackCutover status in one channel
Microsoft TeamsGo or no-go from the thread
DatadogBefore and after health compared

Rollback plan for every wave

Logos show common stacks. CloudThinker connects to each one through read-only access you approve.

[Example scenario]

Saturday, 02:00. Cutover window opens.You have two hours and one rollback plan.

A regional insurer moving 380 servers from a data center to AWS in 12 waves. Wave 3 is the billing stack: 14 servers and 2 databases that customers hit every day.

Thu 10:00
Readiness checkAgent
Agent compares the wave plan with 30 days of flow logs. Finds billing still calls ledger-api on-prem and the firewall rule is missing.
Thu 11:30
Network team adds the ruleYour team
The fix goes through the change board. The agent re-runs the check and marks the wave ready.
Sat 02:00
Cutover startsAgent
Final replication sync with AWS Application Migration Service and AWS DMS. Source writes paused on approval.
Sat 02:41
DNS switchedAgent
Traffic moved to the new load balancer. Agent watches error rates, latency and the ledger-api calls over Direct Connect.
Sat 03:10
Smoke tests passSignal
42 of 42 synthetic checks green. Invoices generate and post to the ledger.
Sat 03:25
Migration lead signs offYour team
Closes the window 35 minutes early. The rollback plan stays armed for 48 hours.

#migration-wave-34 messages

CloudThinkerThu 10:00
Wave 3 readiness: 1 blocker. billing calls ledger-api (on-prem until wave 5) and no firewall rule exists over Direct Connect. Evidence: 30 days of flow logs. Change request CHG-2291 drafted.
Migration leadSat 02:00
Rule is in. Go for cutover.
CloudThinkerSat 03:10
Cutover complete. 42/42 smoke tests pass. p95 latency 180ms vs 210ms on-prem. ledger-api calls healthy. Rollback stays ready until Monday 03:00.
Migration leadSat 03:25
Signed off. Good night, everyone.

blocker caught 2 days before cutover: 1
of a 2-hour window used in this example: 85 min
smoke tests green at sign-off: 42/42

An illustrative example. Team, systems and times are representative, not a specific customer.

[Frontier resolution agents]

Every workload gets a strategy.Every wave gets verified.

Agents work from real traffic and real config, so a wave plan arrives with the dependencies people forgot, and a cutover ends with proof it worked.

Map real dependencies: Flow logs, connections and config read to find what talks to what, beyond what the CMDB says.
Pick the strategy: Rehost, replatform, refactor, retire or retain chosen per workload, with the reasoning written down.
Run the cutover: Replication, switchover and DNS steps run from the runbook, each one inside the window you approved.
Verify every wave: Smoke tests, latency and error rates compared with the source before sign-off, with rollback kept ready.

[What changes]

Same team. Same tools.Far less of the work by hand.

Moment	Today	With frontier agents
Discovery	Interviews and CMDB exports	Dependencies mapped from real traffic
Wave planning	A spreadsheet that drifts weekly	Plans rechecked against live data before every wave
Cutover night	A bridge call and a long checklist	Runbook steps run and checked by agents
Sign-off	It looks fine, ship it	Tests and metrics compared with the source
What the next wave learns	Lost after the weekend	Captured in the wave report

[Integrations]

Connects to the rest of your stack.Read-only to start.

AWS Application Migration Service
AWS Database Migration Service
AWS Migration Hub
Amazon EC2
Amazon RDS
Amazon EKS
Amazon CloudWatch
Terraform
Argo CD
GitHub Actions
Jenkins
Datadog
ServiceNow
Slack
Teams

[Adoption path]

One pilot.Then company-wide.

The rollout follows the four phases of the AWS Cloud Adoption Framework, so it fits the plan your cloud team already runs.

01Envision
Start with one wave
Connect the source environment and landing zone read-only. Let agents map dependencies and check the wave plan you have.
02Align
Agree the cutover rules
Decide which steps agents may run alone, which need approval, and what triggers a rollback.
03Launch
Run waves with agents
Each wave gets the same readiness check, runbook, verification and report.
04Scale
Hand over to day 2
Migrated workloads move straight into investigation, patching and cost checks on the same platform.

[AWS guidance]

Built the way AWS says to run it.Reviews start from a known reference.

[Trust and control]

Agents do the work.Your team keeps control.

You approve every change: Agents propose. Nothing touches production until someone on your team says yes, and you set that rule per system.
Every action on the record: Each step is logged, attributed and reversible, ready for your auditors.
Certified for enterprise: SOC 2 Type II and ISO 42001, with reports in our trust center.
Runs where you need it: In our cloud, through AWS Marketplace, or inside your own account.

[Questions]

What teams askbefore they start.

Does this replace AWS migration tools?: No. Agents drive the AWS services you would use anyway, such as Application Migration Service and DMS, and check the results between steps.
What access do agents need to the data center?: Read access to discovery data, flow logs and config to start. Cutover steps run only with the permissions and approvals you grant per wave.
Can it work with a migration partner?: Yes. Partners and in-house teams see the same plans, runbooks and reports, so handoffs between them stop losing context.
What happens if a cutover goes wrong?: You set the rollback triggers before the window opens. If a check fails, agents stop and propose the rollback for approval.

[Go deeper]