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Migrating Oracle & PostgreSQL Workloads to OCI

A practical approach for enterprise workloads

Introduction

As organizations modernize their IT landscapes, cloud adoption is no longer limited to Oracle workloads alone. Enterprises increasingly operate mixed environments combining Oracle Databases, PostgreSQL, and custom applications that demand performance, security, and operational simplicity. Oracle Cloud Infrastructure (OCI) offers a powerful platform to migrate and operate both Oracle and non-Oracle workloads under a single, enterprise-grade cloud framework.

This article outlines Broadpin’s practical approach to migrating Oracle and PostgreSQL workloads to OCI, focusing on risk-reduction, performance optimization, and long-term manageability.

Why OCI for mixed workloads?

OCI is uniquely positioned to support heterogeneous database and application landscapes:

  • Native optimization for Oracle Databases and Exadata workloads
  • First-class support for PostgreSQL (OCI PostgreSQL, self-managed, or DB Systems)
  • Predictable performance with non-oversubscribed compute
  • Built-in security, networking, and governance capabilities
  • Cost transparency and strong price–performance ratios

For organizations operating Oracle and PostgreSQL side by side, OCI allows unifying infrastructure and operating models without compromise.

Migration strategies: choose the right path

A successful migration starts with selecting the appropriate strategy per workload:

Oracle workloads

  • Lift & shift for fast migrations with minimal change
  • Replatforming (DBaaS, Autonomous Database)
  • Exadata Cloud@Customer or Exadata on OCI for mission-critical databases

PostgreSQL workloads

  • Rehosting to OCI Compute with block storage
  • Migration to OCI-managed PostgreSQL services
  • High availability architectures using OCI Load Balancer and Fault Domains

Each workload is assessed individually to balance time-to-cloud, risk, and future optimization potential.

Our migration approach

Broadpin applies a structured migration framework:

  1. Discovery & assessment
    Application dependencies, database size, performance profiles, and SLAs are analyzed.
  2. Target architecture design
    Secure landing zones, networking, IAM, backup and DR are designed upfront.
  3. Data migration & validation
    Oracle Data Guard, RMAN, logical replication or native PostgreSQL tools are used depending on requirements.
  4. Cutover & stabilization
    Controlled go-live with rollback scenarios and post-migration performance tuning.
  5. Transition to managed operations
    Environments are handed over to 24/7 managed services with defined SLAs.

Operating after migration: plan for day 2

Migration is only the first step. Long-term success depends on:

  • Monitoring and capacity planning
  • Backup and disaster recovery testing
  • Cost optimization
  • Security patching and compliance

OCI enables these capabilities natively and integrates seamlessly with managed service models.

Conclusion

Migrating Oracle and PostgreSQL workloads to OCI is not about choosing one over the other, it’s about building a cloud platform that supports both efficiently. With a structured migration approach and a strong operational model, organizations can modernize with confidence while maintaining performance and control.

 

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