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Move an AWS workload to a VPS as a controlled rehost, not a single file copy. Inventory every service and dependency, build and secure the destination, verify recoverable backups, transfer files and databases separately, test on the VPS, then freeze writes and change routing during a planned cutover. Keep the AWS environment and recovery copies available until the acceptance window ends.
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What an AWS-to-VPS migration actually involves
An EC2 instance cannot usually be “converted” into a VPS with one export button. The practical approach is to recreate the required operating system and services on the VPS, then move the application’s files, data, configuration and operational jobs. This is a rehost: the application may remain largely the same, while the underlying infrastructure changes.
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Set an acceptance window before you start. Define the maximum tolerated downtime, the maximum permitted data loss, the performance target, the checks that constitute success and the condition that triggers rollback. These decisions determine whether an all-at-once move is appropriate or whether a phased approach is safer.
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All-at-once or phased cutover?
| Approach | Best fit | Advantages | Risks and extra work |
|---|---|---|---|
| All-at-once | A single host or application that can tolerate a defined maintenance window | One destination, one routing change and a straightforward data-consistency model | Risk is concentrated in one event; an overlooked dependency affects all users at once |
| Phased | An application that can run across two environments with compatible routing and data handling | Smaller blast radius and the ability to move components or traffic gradually | Requires two environments, coordinated versions, compatible sessions and a deliberate plan for writes and rollback |
Choose all-at-once when the application is effectively one host and you can quiesce it cleanly. Choose phased migration only when you can explain how traffic, sessions, queues and database writes behave while both environments are active. Running two copies without a consistency plan can create harder failures than a short maintenance window.
1. Define scope and acceptance criteria
Write an inventory before provisioning anything. For a web, API or game-service workload, record each item below and identify its owner:
- Web server, application processes, workers and process supervisors
- Databases, replicas, caches, queues and search services
- Uploaded files, object storage and generated assets
- Cron jobs, scheduled maintenance, log rotation and certificate renewal
- DNS records, load-balancer targets and hard-coded IP references
- Firewall rules, exposed ports and administrative access paths
- Environment variables, API keys, service accounts and database grants
- Email, payment, analytics, webhook and other external integrations
- Monitoring, alerting, backups and restore procedures
Turn the inventory into tests. An acceptance checklist might require a user to sign in, create and edit a record, upload a file, receive an email, trigger a background job, call a critical API integration and complete an administrative action. Also specify measurable observations such as error rates, latency relative to the AWS baseline and normal CPU, memory, disk and network use.
2. Inventory the AWS source
Document the current EC2 instance size and operating system, attached volumes, mount points, private and public addresses, service versions and directory layout. Record security-group rules and any firewall configured inside the instance. AWS migration guidance emphasizes documenting application ownership and existing firewall rules; those details are easy to lose when infrastructure is rebuilt manually.
List every DNS record, including A and AAAA records, aliases, subdomains used by APIs or administrative tools, and records for mail or verification. Search configuration and deployment scripts for the old IP address and AWS-specific hostnames. Note which values are intended to change on the VPS and which must remain the same.
Identify IAM roles and application credentials, but do not copy credentials into shell history, tickets or public repositories. Determine which SDK calls assume instance metadata, role-based credentials, private network addresses, security groups, managed databases or object-storage permissions. Each AWS-specific assumption needs a VPS equivalent or an intentional redesign.
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Capture a baseline while the source is healthy: active services, disk usage, database size, request volume, scheduled jobs and recent error logs. The baseline is for comparison during acceptance, not a promise that the VPS will have identical capacity.
3. Choose and provision the VPS
Select a region close to users and essential dependencies. Size CPU, memory and storage from observed load and growth requirements rather than from the EC2 label alone. Confirm that the provider offers the operating system and kernel features your stack needs, IPv4 and IPv6 as required, backups or snapshots, firewall controls and usable console access for recovery.
Provision the destination with the same major operating-system and runtime versions where possible. An intentional version change should be documented and tested separately from the infrastructure move; otherwise a migration failure is difficult to diagnose.
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- Create a non-root administrative account and install its SSH public key.
- Apply all available operating-system and package updates.
- Disable or restrict direct root login and password authentication where your recovery process permits.
- Allow only required ports through the VPS firewall. Keep administrative access limited to trusted networks or a controlled bastion path.
- Set the correct hostname, time synchronization and locale for the application.
- Enable system logging, resource monitoring and alerts for disk exhaustion, service failure and abnormal load.
- Document console-recovery access before making SSH restrictions; a locked-out server is an avoidable migration outage.
Do not expose a database or queue to the public internet merely because the old security group did. Bind internal services to private interfaces or localhost when possible, and grant the application only the permissions it needs.
4. Create and verify recoverable backups
Before changing the source, take an application-consistent database backup and a recoverable snapshot or equivalent backup of the source system. Record the storage location, encryption or access controls, retention period and the person responsible for recovery. A backup that has never been restored is an assumption, not a recovery plan.
Perform a restore check in a non-production environment when practical. Verify that the restored database opens, that expected tables and records exist, and that the application can connect with the recreated credentials. Keep the source environment and snapshots while the VPS is being tested. DigitalOcean’s migration guidance likewise recommends taking a backup at the old provider, uploading it to the new server and retaining the original while the new instance is validated.
Separate backup roles from migration copies. A dump used for cutover is not automatically a long-term backup, and a VPS snapshot may not be application-consistent if a database is writing while the snapshot is taken.
5. Rebuild the software stack
Install the web server, runtime, database engine, system libraries, workers and scheduled-job tooling required by the inventory. Recreate service users, directory paths, ownership, permissions, reverse-proxy rules and TLS configuration. Match major versions first; plan upgrades as a distinct change after the migration is stable.
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Copy configuration templates, then provide secrets through protected files or a secrets manager appropriate to the VPS. Update database hostnames, ports, usernames, passwords, object-storage endpoints, mail settings, callback URLs and any absolute paths. Never put a secret directly in a command that will remain in shell history.
Recreate certificate issuance and renewal, log rotation, process supervision and firewall rules. Check that workers start after a reboot and that cron jobs run under the intended user. If the application expects AWS instance metadata, replace that dependency with explicit configuration or a supported credential mechanism.
6. Transfer application files with SSH
Establish SSH-key access from a controlled account. Transfer application code, uploads and configuration templates with rsync or scp; do not transfer caches, temporary files or generated logs unless they are part of the application’s state. Preserve ownership and permissions, and review exclusions so that user uploads are not accidentally omitted.
A typical first synchronization has this shape (adapt paths and account names to your system):
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rsync -aHAX --numeric-ids --info=progress2
--exclude='cache/' --exclude='tmp/'
/srv/app/ migrate@your-vps-ip:/srv/app/Run the transfer from a controlled host, verify the destination path and inspect the output. For a large upload directory, transfer it before the maintenance window and perform a second synchronization after writes are paused. The second pass is what closes the change window; the first pass only reduces the amount of data left to move.
After transfer, check file ownership, executable bits, symbolic links, web-server document roots and available disk space. A successful SSH transfer does not prove that the process user can read every required file.
7. Migrate the database separately
Use the database engine’s supported dump or backup method. Transfer the export securely, import it into the destination engine, recreate users and grants, and point the application at the new connection details. Validate schema, migrations, representative records, indexes and application connectivity rather than relying on a successful import message.
MySQL or compatible engines
A simplified sequence is:
mysqldump --single-transaction --routines --triggers
-u source_user -p source_database > source.sql
scp source.sql migrate@your-vps-ip:/var/tmp/
mysql -u root -p target_database < /var/tmp/source.sqlUse options appropriate to the engine and workload, and confirm whether routines, triggers, events, character sets and time zones are included. Recreate the application user with the minimum required privileges, then update the application’s environment configuration. Restart the relevant service only after checking the imported data and connection settings.
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Use the engine’s native logical dump, physical backup or replication procedure rather than treating its data directory as ordinary files. The exact command, consistency guarantees and version compatibility differ. Confirm that the destination major version supports the dump format and that extensions or plugins used by the application are installed.
Validation checks
- Compare table or collection counts and inspect recent and representative records.
- Run pending migrations deliberately; do not assume the dump applied application migrations.
- Check indexes, constraints, triggers, stored routines and encoding.
- Test reads and writes through the application, not only through a database client.
- Confirm connection pooling, timeouts and TLS settings.
8. Recreate integrations and operations
Replace AWS-specific endpoints and permissions with the destination values. Configure object-storage access, email delivery, payment or API credentials, webhooks, queues and workers. Update webhook allowlists and callback URLs if the public address changes. Ensure outbound firewall rules permit the services the application actually uses.
Recreate cron schedules, log rotation, monitoring, alerting and backup jobs. Verify that scheduled tasks will not run twice if both AWS and the VPS remain active during testing. Disable or isolate source-side jobs that could send duplicate emails, process the same queue or mutate shared data.
Install the correct TLS certificates and verify the complete certificate chain. Configure redirects, trusted proxy headers and canonical hostnames. A page that loads over HTTP while APIs or callbacks fail TLS is not a successful migration.
9. Test the VPS before production traffic
Use a temporary hostname or a local hosts-file entry that resolves to the VPS. This lets you test the complete stack without changing public DNS. Exercise both normal and failure paths:
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- Sign-in, session persistence, password reset and administrative functions
- Create, edit and delete operations, including validation and authorization
- Uploads, downloads, generated assets and object-storage access
- Background jobs, queues, scheduled tasks and retry behavior
- Email delivery, webhooks, payment or API integrations
- TLS, redirects, custom domains, IPv4 and IPv6 behavior
- Database restore, service restart and reboot recovery
Compare latency, error rates and resource use with the AWS baseline. Check logs for permission errors, missing environment variables, failed DNS lookups, rejected database connections and jobs that silently stopped. The home page loading is only one test and should never be the acceptance criterion by itself.
10. Prepare DNS and the cutover window
Lower DNS TTL ahead of the planned change where appropriate and record the previous values so they can be restored. TTL reduction does not instantly flush every resolver; continue checking propagation from multiple networks after the change. Update every relevant A and AAAA record, subdomain and service endpoint, not only the main website.
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11. Execute the production cutover
AWS Prescriptive Guidance describes the safe order as ingestion freeze, final backup, data synchronization, routing changes and testing. Use this sequence:
- Freeze or quiesce writes. Put the application in maintenance mode or disable write endpoints, workers and scheduled jobs that can change state.
- Take the final backup. Create an application-consistent database backup and record its location.
- Run final synchronization. Perform the last database import or delta sync and a final
rsyncfor files changed since the first transfer. - Start and verify destination services. Confirm the database, workers, web server, certificates and monitoring are healthy before sending users.
- Change routing. Update DNS A/AAAA records or load-balancer targets to the VPS. Record the exact time and previous routing values.
- Run smoke and functional checks. Test representative user transactions, writes, uploads, jobs, integrations and logs immediately after routing changes.
Do not lift the write freeze merely because DNS has been edited. First confirm that traffic is reaching the VPS, the database contains the final records and background processing is operating normally.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.12. Verify propagation and monitor the new host
Resolve the application hostname from multiple networks and inspect the returned addresses. Check the certificate presented for the hostname, redirects, API endpoints and IPv6 behavior. Watch application logs and metrics for elevated error rates, authentication failures, queue backlogs, database disconnects and unexpected outbound traffic.
Monitor CPU, memory, disk capacity, disk latency and network errors throughout the agreed observation period. Verify that cron jobs execute once, backups complete and alerts reach the intended destination. Ask a small group of users or operators to complete real transactions if your acceptance plan allows it.
Keep the AWS instance read-only or stopped but recoverable until the acceptance criteria pass. Do not delete the source merely because public DNS appears correct; cached records and overlooked integrations can surface later.
13. Roll back deliberately when necessary
Define the rollback trigger before cutover: for example, a critical transaction failure, unrecoverable data error or resource exhaustion that cannot be corrected within the window. If the migration fails before new writes reach the VPS, redirect routing to the AWS source and restore the previous service state.
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After users have written new data on the VPS, the AWS database may be stale. Redirecting traffic back without reconciling those transactions can lose or overwrite data. Stop writes, preserve both copies, determine which records changed, and use a documented reconciliation or restore procedure. AWS guidance recommends explicit rollback checkpoints and a strategy for data changed after routing moves.
Record what failed and what was changed before attempting a second cutover. A rollback is a controlled data operation, not simply switching an IP address.
Migration checklist
- Scope, downtime limit, data-loss limit, performance target and rollback trigger are written down.
- All processes, data stores, storage, jobs, integrations, credentials, DNS records and firewall rules are inventoried.
- The VPS region, operating system, capacity, networking, backups, snapshots and console access are confirmed.
- A database backup and source snapshot exist, and at least one restore has been checked where practical.
- Software versions, service users, permissions, TLS, environment variables and secrets are configured on the VPS.
- Application files and uploads have been transferred and verified; caches and temporary files are excluded.
- Databases have been imported, users and grants recreated, migrations checked and representative transactions tested.
- Object storage, email, webhooks, queues, cron, monitoring, alerting and backup schedules work on the destination.
- Temporary-hostname testing covers writes, uploads, jobs, integrations, TLS, reboot recovery and restore procedures.
- DNS TTL and previous records are documented, and the cutover owner and rollback owner are available.
- The cutover follows freeze, final backup, final sync, routing change and testing.
- AWS, snapshots and exports remain recoverable until the acceptance window closes.
Common failure modes and fixes
The site loads but logins or writes fail
Check the destination database host, credentials, grants, session storage and environment variables. Confirm that the application process user can read its configuration and that the database accepts connections from the correct interface.
Uploads are missing
Verify that the upload directory was included in the file transfer, ownership and permissions match the service user, and object-storage endpoints or bucket credentials were updated. Compare a known file on the source and destination before reopening writes.
Jobs run twice or not at all
Inspect cron, worker supervisors and queue credentials on both environments. Disable source-side schedulers during the dual-running period, then run one controlled job and confirm its log and resulting state.
Some users still reach AWS
Check A and AAAA records, resolver caches and any load balancer or CDN target. DNS propagation is distributed; verify from multiple networks and retain the old host until traffic has demonstrably moved.
Rollback would lose recent transactions
Stop writes before redirecting, preserve the VPS database, and follow the reconciliation plan. Never assume the old database is current after the VPS has accepted new transactions.
Cost, capacity and ongoing operations
A VPS price alone is not the migration cost. Include backup and snapshot storage, extra capacity during the transition, monitoring, managed support if selected, traffic or storage charges, TLS and the staff time required to operate the stack. The correct size depends on the workload and region; no universal downtime, throughput or propagation figure applies.
After acceptance, establish regular tested backups, patch schedules, least-privilege reviews, certificate renewal checks, resource alerts and restore drills. Remove obsolete AWS credentials and firewall rules only after confirming that no remaining integration uses them. Treat the VPS as production infrastructure with the same change control and recovery expectations as the environment it replaced.
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