D3Clarity PostgreSQL to Aurora Migration Service

D3Clarity delivers an end-to-end PostgreSQL migration to Amazon Aurora for PostgreSQL, combining open-source flexibility with AWS-native scalability and availability. Our certified AWS architects design and implement Aurora clusters tailored to your workloads using AWS Database Migration Service (AWS DMS) and AWS Schema Conversion Tool (AWS SCT) to reduce manual rework.

As an AWS Advanced Tier Consulting Partner with the Migration and Modernization Services Competency, D3Clarity ensures a smooth transition that improves database performance, simplifies operations, and achieves quantifiable results - reducing downtime, optimizing licensing, and aligning infrastructure for long-term growth.

Example Scenario: Financial Services Multi-Tenant Migration

A financial services company running 20+ self-managed PostgreSQL instances (totaling over 3 TB of transactional data) needed to consolidate onto a scalable, highly available platform while meeting strict compliance requirements. D3Clarity executed the migration using the 4-phase methodology - Discovery identified extension dependencies and replication bottlenecks, the Pilot Build validated Aurora's performance under production-like load, Migration Execution used AWS DMS continuous replication to achieve near-zero downtime cutover, and the Scale phase implemented read replicas for reporting workloads. The result: improved query throughput, reduced operational overhead, and a fault-tolerant architecture with automated failover.

D3Clarity's migration follows a clear data flow: source PostgreSQL (on-premises or self-managed EC2) connects to AWS DMS for continuous replication, while AWS SCT handles schema conversion and code remediation. Data lands in an Aurora PostgreSQL cluster configured with multi-AZ deployment, automated failover, and connection pooling. Cutover checkpoints at each phase gate ensure rollback readiness. The architecture includes Amazon VPC for network isolation, AWS KMS for encryption at rest and in transit, IAM least-privilege policies, and Amazon CloudWatch dashboards for real-time monitoring throughout the migration.

• Discovery and Design: Assessment of current PostgreSQL versions, extensions, and dependencies; migration factory plan and rollback procedures
• Pilot Build (MVP): Aurora PostgreSQL cluster deployment, IAM/KMS integration, replication setup, and validation tests
• Migration Execution: Schema conversion with AWS SCT, continuous replication via AWS DMS, data validation reports, and optimized cutover scheduling
• High Availability and Performance: Aurora cluster scaling, multi-AZ deployment, automatic failover configuration, and connection pooling optimization
• Security and Compliance: IAM least privilege policies, KMS encryption, audit logging, and data masking for regulated environments
• Enable and Deploy: Go-live support, developer/admin training, and post-cutover monitoring dashboards
• Prove Value and Scale: Query performance tuning, cost optimization, and expansion planning for read replicas or multi-region HA

• Trusted Partner: AWS Advanced Tier Consulting Partner with verified AWS Migration and Modernization Services Competency and multiple delivery designations.
• PostgreSQL Expertise: Deep hands-on experience migrating self-managed PostgreSQL, Aurora PostgreSQL, and on-premises workloads to AWS-native architectures.
• AWS Partner Funding Experts: We identify and guide clients through AWS Migration Acceleration Program (MAP) incentives to offset project costs.
• Proven Track Record: Thousands of AWS workloads successfully deployed with predictable SLAs and measured KPIs.
• Professional Services Only: 100% D3Clarity-led implementation using AWS-native tools - no proprietary middleware or lock-in.
• Operational Excellence: Documented delivery methodology, responsive support, and consistent project governance from kickoff to cutover.

AWS Partner Funding Opportunities

D3Clarity helps you maximize your results with AWS Partner Funding programs. If you are eligible, these programs can reduce or eliminate costs:

• Proof-of-Concept (POC): Funding of pilots for small-scale or initial deployments
• Migration Acceleration Program (MAP): Funding for enterprise-scale migrations
• Well-Architected Partner Program Funding: Funding for new AWS infrastructure in existing accounts

Talk to our team for more information about these programs.

• Faster Performance at Lower Cost: Aurora PostgreSQL typically delivers up to 60% higher throughput and 40% lower total cost of ownership (TCO) vs. on-prem PostgreSQL.
• Minimal Downtime: AWS DMS continuous replication enables near-zero downtime migrations.