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Our tuning experts start with data, not guesswork. They pull an AWR (Automatic Workload Repository) report across the problem window and read it methodically the top wait events, the load profile, the time model, and the SQL ordered by elapsed time, gets, and reads. For session-level issues they use ASH (Active Session History) to see exactly what was running and waiting at a point in time. They confirm whether the bottleneck is CPU, I/O, concurrency (latches, buffer busy, library cache), or simply bad SQL plans. Only then do they drill into individual statements. This top-down method means they fix the statements and waits that actually move the needle rather than tuning queries that contribute little to total database time. The PM confirms your edition and whether you are licensed for the Diagnostics and Tuning Pack so the expert uses only the tools you are entitled to.

Yes, this is the core of the work. The expert captures the real execution plan with DBMS_XPLAN (including the actual rowsource statistics via GATHER_PLAN_STATISTICS) rather than trusting EXPLAIN PLAN, and compares estimated versus actual cardinalities to find where the optimizer is wrong. They diagnose the usual culprits stale or missing statistics, skewed data needing histograms, implicit datatype conversions disabling index use, bad join orders and join methods, and full scans where an index access path would win. Fixes range from adding or reshaping indexes and gathering correct statistics to rewriting the SQL, adding SQL Plan Baselines to lock a good plan, or applying SQL Profiles. They validate every change against the actual workload and confirm the plan is stable, not just faster in one run. The PM aligns them with your DBA so any index or stats change goes through change control.

Yes. Beyond firefighting individual queries, our experts design the access structures that keep a schema fast as it grows. On indexing they choose between B-tree and bitmap indexes, build composite indexes in the right column order for the predicates and sorts, use function-based indexes for expression predicates, and identify and drop redundant or unused indexes that slow DML without helping reads. On partitioning they design range, list, hash, and composite partitioning aligned to the query and purge patterns so partition pruning eliminates the bulk of the data, and they pair it with local indexes where appropriate. They also advise on partition-wise joins for large analytic workloads and rolling-window data lifecycle management. They model the trade-off between read speed and DML/maintenance cost rather than over-indexing. The PM confirms your data volumes and access patterns so the design fits your real workload.

A PM is assigned within 10 minutes of booking and scopes your requirement on the first call. For a clearly defined problem a single runaway query, a report that suddenly slowed, a nightly batch overrun a vetted Oracle performance expert typically starts the same day and an AWR report is often all they need to begin. We offer three engagement models: project-based (a fixed deliverable such as a tuning sprint with before/after benchmarks), dedicated (an expert embedded with your team during a performance program or a major release), and on-call burst capacity (hours drawn down when production performance incidents arise). You can scale up or down between cycles and cancel after any engagement. The PM coordinates the expert with your DBA and app teams so any plan baseline, index, or statistics change moves through change control without delay.

Yes. A query that was fast yesterday and slow today is one of the most common urgent calls. The expert isolates whether the plan changed using AWR and SQL history (DBA_HIST_SQLSTAT and the plan hash value over time) and identifies the trigger a new bind value with skewed data, refreshed statistics that flipped the plan, a parameter or optimizer feature change after an upgrade, or adaptive plan behavior. To stabilize fast they can pin the previously good plan with a SQL Plan Baseline or SQL Profile, then address the root cause properly afterward. After a database upgrade they check optimizer_features_enable behavior and known plan-change issues, and they use SQL Performance Analyzer where licensed to predict regressions before they hit production. The PM confirms recent changes so the expert correlates the regression to a specific event rather than searching blind.