Find the migration hotspots
Read source code, metadata and application coupling together. The output is a prioritised risk picture, explicit questions and a focused PoC scope.
AssessmentOracle → PostgreSQL · AWS RDS/Aurora · PL/SQLOracle to PostgreSQL.
Oracle to PostgreSQL.
Tables are often the easy part.
The real effort is usually buried in packages, PL/SQL, database links, Scheduler jobs, dynamic SQL and application coupling. I make those dependencies visible, validate the hard parts against representative code, and carry the migration through to production cutover.
Assessment · Proof of Concept · Migration · AWS RDS/Aurora
From Oracle estate to a target that works01 — 03
Understand first.
Prove it. Then migrate.
01
Assessment
Identify packages, PL/SQL, database links, jobs, dynamic SQL and the Oracle-specific dependencies that drive migration effort.
02
Proof of Concept
Implement one representative business flow on PostgreSQL or Aurora and validate code, deployment, performance and failure behaviour.
03
Migration
Bring schema, database logic, Flyway deployments, data movement, testing and cutover together in controlled waves.
One technical owner from assessment through production cutover
Oracle & PL/SQLPostgreSQL & AuroraAWS RDSFlyway & Cutover
Where migrations get difficult
Oracle can be embedded far beyond the tables.
A converted schema is not a migrated application. The real question is which behaviour is coupled to Oracle today—and how that behaviour will be proven on the target.
Business logic in PL/SQL
Packages, procedures, functions and triggers may combine API behaviour, state, privileges and business rules.
Coupling through Oracle features
Database links, Scheduler jobs, materialized views, UTL_FILE and Advanced Queuing need to be understood by purpose, not merely translated by syntax.
Operations after the engine change
Deployment, reconciliation, restart, performance, monitoring and cutover must work on the target—not just the SQL syntax.
Three phases
From source findings to a production-ready target.
Prove the target with real code
Use a representative business flow, not a demo table. This exposes conversion patterns, extensions, performance and deployment issues early.
Proof of conceptBring code, data and cutover together
Implement schema and code changes, Flyway, data movement, regression testing, migration waves and rollback through production cutover.
Migration deliveryMigration insight
Specific Oracle dependencies, not generic cloud theory.
PL/SQL & Oracle features
Migrating Oracle packages to PostgreSQL
Packages can combine APIs, state and business logic. Separate those responsibilities before deciding how each part should live in PostgreSQL.
Read the articlePL/SQL & Oracle features
Migrating Oracle Scheduler jobs to PostgreSQL
Jobs are part of the operating model. Capture schedules, dependencies and failure behaviour before choosing the target scheduler.
Read the articlePL/SQL & Oracle features
Replacing Oracle database links
A database link is more than a connection. Classify reads, writes, consistency and failure behaviour before choosing the replacement.
Read the articleYour technical contact
Oracle and PostgreSQL engineering without layers of hand-off.
Vjekoslav GoronjaOracle · PostgreSQL · AWS · Munich
My work includes Oracle lift-and-shift into AWS, PostgreSQL/Aurora environments on AWS, Flyway-based database deployment and the definition of technical API interfaces.
For Oracle → PostgreSQL I focus on the areas where automated conversion alone is not enough: PL/SQL, packages, dependencies, interfaces, deployment, testing and operational behaviour.
Assessment, proof of concept and implementation stay with the same technical lead, so source-system findings feed directly into target architecture, migration units and cutover planning.
Next step
Where is your Oracle migration today?
For an initial discussion, Oracle version, approximate PL/SQL footprint, intended target and the main unresolved question are enough. No credentials or database content are required.