SERVICE / Performance

Database Performance Tuning from evidence.

Slow databases are often the visible layer of a wider workload problem. We trace SQL, waits, connection behavior, memory, I/O, capacity and application patterns before prescribing change.

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Find the constraint before tuning around it.

Workload baseline

Establish when the issue occurs, what changed, which workload is affected and which metrics distinguish normal from abnormal.

SQL & execution

Identify expensive or unstable statements, plan changes, cardinality problems, missing/ineffective access paths and concurrency effects.

Resource & wait analysis

Correlate CPU, memory, I/O, locks, temp usage, network and platform-specific waits with business workload.

Connection behavior

Review pools, retries, session churn, transaction length and application concurrency that can amplify database pressure.

Performance work can include.

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AWR/ASH or platform workload analysis

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SQL and execution-plan review

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Index/statistics strategy

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Memory and concurrency review

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Connection and transaction analysis

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Baseline, change plan and post-change validation

OracleSQL ServerPostgreSQLMySQLAWR/ASHExecution plansCapacity

Performance work is driven by measured bottlenecks, workload shape, execution plans, concurrency, storage behavior and application interaction rather than generic tuning checklists.

Start a conversation

Have a performance problem that keeps returning?

Share when it happens, what users see and the available telemetry. We will help isolate the real constraint before recommending change.

Discuss a project →hello@logicbits.tech