Performance Tuning Checklist After Oracle Migration

• Pradip
• 27 Nov, 2025
• 0 Comments
• 3 Mins Read

Performance Tuning Checklist After Oracle Migration

Migrating an Oracle database—whether to a new version, new platform, cloud, or cross-platform—is a major milestone. But the real success of any migration is measured after cutover, when applications begin to run on the new environment.
This is where post-migration performance tuning becomes crucial.

A well-designed performance tuning checklist helps ensure stability, optimize workload performance, and avoid post-go-live surprises.

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1. Validate System Configuration

Check Hardware & OS Settings

• Validate CPU, RAM, storage, and IOPS match expected values.

• Confirm Transparent HugePages are disabled (recommended for Oracle).

• Verify swap configuration and file system mount options.

 Validate Kernel Parameters

• Ensure shmmax, shmall, sem, fs.file-max, aio-max-nr are correctly configured.

• Recheck network settings like rmem, wmem, tcp_keepalive.

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2. Verify Oracle Initialization Parameters

Many parameters may change when moving between versions or platforms.

Important Checks

• Compare old vs new spfile/pfile values.

• Validate SGA and PGA sizing.

• Check optimizer-related parameters:

  • optimizer_features_enable

  • optimizer_index_cost_adj

  • optimizer_mode

• Confirm deprecated parameters are removed.

Memory Tuning

• Enable Automatic Memory Management (AMM) or Automatic Shared Memory Management (ASMM).

• Verify PGA aggregate target and SGA target values.

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3. Recompile Invalid Objects

After migration, invalid objects can cause sudden performance issues.

Run:

And validate using:

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4. Validate Statistics

Gather System Statistics

Gather Statistics on Schema Objects

• Ensure table, index, and column stats are updated.

• Compare statistics freshness with pre-migration values.

Check Stale Stats

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5. Validate Execution Plans

Execution plans may change due to a new optimizer version.

Action Items

• Compare execution plans before and after migration.

• Capture SQL performance baselines.

• Create SQL Plan Baselines (SPM) if needed:

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6. Check Index Health

Migration can affect index usage or cause fragmentation.

Checklist:

• Look for unusable indexes.

• Rebuild fragmented indexes.

• Validate bitmap, function-based, and domain indexes.

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7. Monitor Top SQL Queries

After migration, track the workload closely.

Use tools such as:

• AWR Reports

• ASH Reports

• SQL Monitor

• OEM Cloud Control

Key Metrics to Monitor:

• CPU usage

• Wait events (db file sequential read, CPU wait, latch waits)

• I/O latencies

• Temp usage

• Buffer cache hit ratio

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8. Check Redo, Undo & Temp Usage

Redo Tuning

• Validate redo log size.

• Check log switch frequency.

Undo Tuning

• Review undo tablespace size.

• Check for ORA-01555 snapshots.

Temp Tuning

• Check temp spills.

• Validate size and autoextend settings.

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Validate Connectivity & Network Performance

• Check TNS, SCAN, listeners, and connection pools.

• Validate JDBC or app driver versions.

• Test network latency between app → DB → storage.

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Validate Jobs, Schedulers & Replication

• Ensure all DBMS_SCHEDULER jobs run as expected.

• Validate Data Guard sync, if used.

• Check GoldenGate extract/replicat performance.

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Review Alert Logs & Trace Files

Search for:

• ORA-errors

• Process restarts

• Memory pressure

• I/O related warnings

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Perform Load Testing

Run application-level performance tests to confirm:

• Response time consistency

• End-to-end throughput

• Concurrent sessions handling

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Conclusion

A successful migration isn’t just about moving data—it’s about ensuring the new environment performs better than before.
Using the above Performance Tuning Checklist, Oracle DBAs can quickly identify configuration gaps, resolve performance bottlenecks, and stabilize workloads after migration.

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