Overview
A high-growth U.S.-based startup building a white-label, multi-tenant application for drive-thru restaurants sought to modernize its cloud architecture. The company envisioned a scalable platform capable of supporting multiple clients, but integration challenges on Oracle Cloud limited agility. The environment was complex, with two types of databases —an application-specific database and a client-specific database, making scalability and efficiency persistent roadblocks.
Problem Statement
The client faced a critical inflection point in its growth journey: Cloud migration from Oracle Cloud to AWS.
The constraints of Oracle’s proprietary environment: PL/SQL, specialized datatypes (NUMBER, CLOB, RAW), and dependencies on triggers, sequences, and packages, posed significant challenges in mapping workloads to AWS-native services such as Aurora PostgreSQL, Aurora MySQL, or RDS Oracle.
The objective was clear: create a resilient, cost-efficient, and scalable cloud foundation that could support multi-tenancy, seamless integrations, and faster go-to-market capabilities.
Key Challenges
- Incompatibility of Oracle’s proprietary features with AWS-native databases.
- Heavy data volumes (1TB+) requiring careful migration planning to avoid extended downtime.
- Need for accurate cost forecasting across multiple cloud platforms.
- Re-architecting processes for efficiency while minimizing disruption to business operations.
Solution Approach
PalTech adopted a holistic consulting-led approach, combining technical re-architecture with strategic foresight:
- Comprehensive Assessment – Evaluated the existing application, tools, integrations, and services to establish a migration roadmap.
- Cloud Cost Optimization – Leveraged our Cloud Cost Comparator accelerator to forecast costs across AWS, Azure, and GCP. This empowered leadership with data-driven decision-making for cloud strategy.
- Incremental Data Migration – For data volumes exceeding 1TB, proposed an incremental migration strategy, ensuring transition timelines did not exceed a week, thereby reducing downtime risks.
- Re-architecture & Automation – Re-engineered processes and embedded automation to unlock efficiencies, improving application performance and resilience.
- Schema Conversion & Modernization – Utilized AWS Schema Conversion Tool (SCT) to analyze and convert schema. For unsupported PL/SQL packages, our team manually refactored logic into functions and procedures compatible with target databases. Where rewrites were cost-prohibitive, we adopted a phased lift-and-shift to Amazon RDS for Oracle as an interim step.
Tech Stack:
- Cloud Platforms: AWS (primary), Oracle Cloud (source environment)
- Databases: Amazon Aurora PostgreSQL, Amazon Aurora MySQL, Amazon RDS for Oracle (interim), Oracle Database (legacy)
- Migration Tools: AWS Schema Conversion Tool (SCT), AWS Database Migration Service (DMS)
- Infrastructure & Automation: Terraform, AWS CloudFormation, AWS Landing Zone, CI/CD with Jenkins
- Programming & Scripting: PL/SQL (legacy), SQL, Python, Shell scripting
- Application Layer: Java, Spring Boot (assumed for modernization context)
- Security & Governance: AWS IAM, AWS KMS, AWS CloudTrail, AWS Config
- Monitoring & Logging: Amazon CloudWatch, AWS CloudTrail, ELK stack
Tangible Business Outcomes
- Cost Transparency & Optimization – Clear cloud cost analysis enabled informed decision-making; migration to AWS delivered a 30% reduction in infrastructure costs.
- Enhanced Security & Governance – Implemented AWS Landing Zone architecture, ensuring high security, simplified governance, and transparent billing.
- Improved Efficiency & Uptime – Re-architecture and automation significantly reduced downtime, driving business continuity.
- Future-Ready Platform – Enabled multi-tenancy and seamless integrations, creating a scalable platform to support new clixent onboarding without friction.
Strategic Impact
This engagement went beyond a technical migration. It was about future-proofing the client’s digital business model. By modernizing their cloud ecosystem, we positioned them to:
- Scale rapidly across markets.
- Enable faster innovation cycles.
- Reduce operational overheads while enhancing customer experience.
At its core, this project reflects the power of combining technical expertise with consulting foresight, ensuring that technology investments translate into long-term competitive advantage.