Compatibility
Are the PostgreSQL version, extensions, collations, object types, authentication methods, jobs, and operational features available on the target?
PostgreSQL cloud migration
Choose the target before choosing the migration tool
In short: PostgreSQL cloud migration moves a workload to a cloud database only after the target is checked for compatibility, resilience, security, operations, and cost. JusDB defines the data movement, rehearsal, cutover gates, validation, rollback boundary, and handover. Platform-specific limits determine the method and achievable application interruption.
This page owns provider-neutral readiness and cutover planning. The linked provider pages cover the architecture, features, and day-two constraints of each managed PostgreSQL target.
Cloud readiness
What must be true before selecting a cloud target?
Resilience
Can the service meet the required recovery point, recovery time, regional placement, backup retention, restore testing, and failure-mode controls?
Connectivity
How will applications, administrators, integrations, replicas, and migration tools reach the target through approved private and public network paths?
Operations
Who owns upgrades, parameters, observability, incidents, capacity, access, backups, maintenance windows, and provider escalation after handover?
Provider routes
Review the PostgreSQL target-specific guidance
Use these pages after the readiness baseline narrows the viable platforms. They own provider-specific capability and operational guidance; this page owns the migration decision and controls.
Amazon RDS for PostgreSQL
Review RDS-specific availability, parameter, extension, networking, maintenance, and operational constraints.
Open provider guidanceAmazon Aurora PostgreSQL
Evaluate Aurora-specific compatibility, cluster behavior, scaling options, topology, and operating tradeoffs.
Open provider guidanceGoogle Cloud SQL and AlloyDB
Compare Google Cloud PostgreSQL services, supported capabilities, connectivity, resilience, and workload fit.
Open provider guidanceAzure Database for PostgreSQL
Review Flexible Server and Elastic Clusters for Azure integration, compatibility, security, and operations.
Open provider guidanceData movement
Which cloud data-movement pattern fits?
| Pattern | Potential fit | Required guardrails |
|---|---|---|
| Backup and restore | Portable moves where a planned write outage is acceptable | Rehearse dump and restore throughput, parallelism, free space, extensions, ownership, large objects, statistics, and application acceptance. |
| Native logical replication | PostgreSQL-to-PostgreSQL moves with a constrained cutover window | Plan DDL, sequences, large objects, unsupported objects, replica identity, replication capacity, initial copy, and final write control separately. |
| Provider migration service | Supported sources and targets where managed transfer reduces operational setup | Verify current version, object, data-type, topology, network, throughput, and change-data-capture limitations in provider documentation before selecting it. |
| Physical or storage-assisted transfer | Specific same-engine paths supported by the target platform | Confirm version, platform, encryption, storage, recovery, and provider constraints, then validate the restored cluster and application behavior. |
How is the cloud migration executed?
- 1
Baseline the workload and cloud readiness
Record PostgreSQL versions, extensions, size, change rate, performance, availability, recovery, network, security, operational, application, and cost requirements with clear measurement boundaries.
- 2
Select the target and document tradeoffs
Compare viable managed or self-managed targets for compatibility, service limits, resilience, controls, observability, maintenance, skills, and total operating cost; record why the selected target fits.
- 3
Design data movement and cutover controls
Choose a transfer pattern, define network and security paths, plan unsupported objects and application changes, and specify validation, write control, proceed, hold, and rollback gates.
- 4
Build the landing zone and rehearse
Configure the target, connectivity, identities, encryption, backups, monitoring, parameters, and migration tooling; run a representative rehearsal and update the runbook from measured throughput and defects.
- 5
Execute the gated cutover
Confirm prerequisites, control writes as required, complete final synchronization, run pre-switch validation, redirect applications, and observe errors, connections, workload, and database health against agreed thresholds.
- 6
Validate, stabilize, and hand over
Complete logical, functional, performance, security, backup, and operational acceptance; resolve defects, document the platform, transfer ownership, and close rollback only after the agreed acceptance point.
Go, hold, or roll back
What are the cloud migration cutover gates?
Ready to rehearse
Target build, connectivity, security, tooling, test data, application test plan, observability, owners, and rollback procedure are ready.
Ready to cut over
Rehearsal completed within constraints; defects are accepted or closed; synchronization, capacity, backups, monitoring, validation scripts, communications, and decision owners are confirmed.
Ready to accept
Critical transactions pass; logical checks meet thresholds; performance, errors, connections, integrations, security, backups, and operations are healthy for the agreed observation period.
Ready to close rollback
Stakeholders accept the target, outstanding risks have owners, source retention is approved, operating documentation is complete, and the data-divergence implications are understood.
What does the cloud migration plan deliver?
The deliverables connect the target decision to executable controls. They are updated with rehearsal and production evidence rather than remaining a static architecture document.
- Current-state workload, dependency, risk, and cost baseline
- Target-service decision record with compatibility and operating tradeoffs
- Landing-zone, network, identity, security, backup, and observability requirements
- Data-movement design with object exceptions and throughput assumptions
- Rehearsal evidence plus production cutover, validation, communication, and rollback runbooks
- Acceptance report, operational handover, and prioritized stabilization backlog
PostgreSQL cloud migration questions
What does a PostgreSQL cloud migration assessment include?
The assessment documents the current workload, PostgreSQL version, extensions, data size and change rate, availability and recovery requirements, network dependencies, security controls, operating model, and cost baseline. It then compares viable targets and produces a migration pattern, validation plan, cutover gates, rollback boundary, and delivery estimate.
How is a managed PostgreSQL cloud target selected?
Target selection considers version and extension compatibility, availability and recovery options, connection and network requirements, observability, maintenance controls, scaling limits, regional needs, security integration, team skills, and total operating cost. The decision record documents material tradeoffs instead of assuming one provider service fits every workload.
How can application interruption be minimized during cloud migration?
A limited cutover window may use logical replication or a provider migration service when the source, target, and workload support it. The plan must also address unsupported objects, DDL, sequences, large objects, replication capacity, write control, connection changes, validation time, and the point after which rollback becomes unsafe.
How is a cloud PostgreSQL target validated?
Validation covers schema and security configuration, scoped logical data checks, sequences and large objects, critical application transactions, query plans and latency, integrations, monitoring, backups, and restore evidence. Acceptance criteria are defined before rehearsal so the production cutover has objective proceed, hold, and rollback gates.
What does the cloud migration rollback plan cover?
The rollback plan defines source readiness, the decision deadline, write handling, data-divergence risk, DNS or connection reversal, responsible owners, and verification steps. It is rehearsed with the migration runbook. Rollback feasibility changes once applications write to the target, so that boundary must be explicit.
How long does a PostgreSQL cloud migration take?
Duration depends on target-selection work, database size and change rate, extension and feature compatibility, network throughput, application changes, security approvals, test coverage, and change windows. The readiness assessment produces a schedule with measurable phase exits; no fixed duration is assumed before those dependencies are known.
How is cloud cost considered during migration planning?
The target model compares compute, storage, I/O, backup, data transfer, availability, support, licensing, observability, and expected operating effort against an agreed workload baseline. Savings are not assumed: sizing and commitment decisions are made from measured demand, growth expectations, resilience needs, and provider pricing at the time of planning.
Evidence and review method
Technical review and primary sources
This provider-neutral workflow is reviewed against PostgreSQL logical-replication constraints and the current migration documentation published by AWS, Google Cloud, and Microsoft Azure. Provider capabilities and limits must be rechecked for the selected regions and versions during assessment.
Editorial owner: JusDB Database Reliability Engineering team. Last reviewed . See the team and roles.
Service scope, timelines, availability targets, and outcomes depend on the workload, PostgreSQL version, topology, infrastructure, change controls, and validation method agreed for the engagement.
Start with the workload and acceptance criteria
Share the current platform, PostgreSQL version, extensions, size, change rate, critical operations, availability and recovery requirements, security boundaries, and candidate cloud targets.
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