Indexing strategy specialists for your dedicated team.

Where indexing strategy fits in a long-term product team.

Column order in a composite index is the detail that decides whether it is used at all. An index on (a, b) serves queries filtering on a, or on a and b, but not one filtering only on b. Teams frequently create several overlapping indexes because the existing one was not being used, without establishing why.

Indexes are not free and their cost is invisible in read benchmarks. Every insert and update maintains every index on the table, and storage grows accordingly. The useful discipline is periodically finding indexes that are never used and removing them, which almost no team does.

What your dedicated team does with indexing strategy.

Query patterns change as a product does, and an index set designed two years ago is serving a different workload than the one currently running. Unused indexes accumulate while the queries that matter now go unserved.

Reviewing that against usage statistics is regular work, held within an agreed committed monthly capacity.

Common indexing strategy use cases.

• Composite indexes in a usable order Column order chosen from the real predicates, so the index gets used.
• Unused indexes removed Usage statistics reviewed, so write cost is not paid for nothing.
• Covering indexes where they pay Queries served entirely from the index, avoiding the table lookup.

Adding indexing strategy skills to your team.

Index strategy sits with data specialists, reviewed against usage statistics regularly.

At Azendo, indexing strategy work sits with a dedicated data engineering team. You can add indexing strategy capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.