Slow queries rarely get fixed; they get worked around. Someone adds an index in production, waits, and hopes.
This engagement takes up to five queries or performance issues you've already identified, finds the actual root cause, and tests every proposed fix in your environment before it goes anywhere near production. You get the results we measured, not a list of theories. Pick your database below.
Starting from $11,400
You already know which queries are hurting; you just need someone who's tuned InnoDB under production load to fix them. This isn't a broad health review; it's a focused engagement on the specific queries or performance issues you've identified.
We analyze up to 5 queries or issues, test every recommendation in a representative environment, and hand you results, not theory.
Built for a single standalone MySQL server or source-replica pair, 1–5 servers. Teams running MySQL synchronous clusters (Group Replication, InnoDB Cluster) get a scoped single-node review under this same engagement. Larger or more complex environments, 6+ servers, multiple clusters, mixed topologies, should be scoped under our full consulting audit instead of the fixed-fee engagement.
Tested, specific fixes for the queries and configuration issues you already flagged, not a generic tuning checklist. This engagement doesn't guarantee a specific performance improvement, but every recommendation is verified against your workload before it reaches your findings report.
$11,400 starting from
1–5 specific queries or performance issues you can name at kickoff
Production access and a representative test environment available from day one
Suggested changes documented with the results achieved in testing, plus a findings and recommendations report
Or don't know which queries are the problem? Talk to us about the full Performance Tuning consulting engagement
You already know which queries are hurting; you just need someone who's tuned the storage engine under production load to fix them. This isn't a broad health review; it's a focused engagement on the specific queries or performance issues you've identified.
We analyze up to 5 queries or issues, test every recommendation in a representative environment, and hand you results, not theory.
Scoped to 1–5 specific queries or performance issues you can name at kickoff. If you're dealing with 6 or more distinct issues, or you don't yet know which queries are the problem, talk to us about our full Performance Tuning consulting engagement instead. This engagement assumes that production access and a representative test environment are both available from day one.
Tested, specific fixes for the queries and configuration issues you already flagged, not a generic tuning checklist. This engagement doesn't guarantee a specific performance improvement, but every recommendation is verified against your workload before it reaches your findings report.
$11,400 starting from
1–5 specific queries or performance issues you can name at kickoff
Production access and a representative multi-node test cluster available from day one
Suggested changes documented with the results achieved in testing, plus a findings and recommendations report
Broader investigations are scoped under the full consulting engagement
Slow PostgreSQL queries are usually a symptom of something else: a missing index, stale statistics, or autovacuum falling behind on a hot table. This engagement targets up to 5 specific queries or issues you've already identified, and gets to the actual root cause.
We use pg_stat_statements data and query plans to diagnose, test proposed fixes in your environment, and verify results before they reach your findings report.
Scoped to 1–5 specific queries or issues you can name at kickoff. If performance across the whole schema is the concern rather than specific queries, our Health Audit is the better starting point. This engagement assumes that production access and a representative test environment are both available from day one.
Tested fixes for the queries you flagged, with the actual root cause identified, not just an index suggestion pulled from a query plan. You'll know whether the fix is the query, the statistics, or the vacuum settings behind it, and you'll have test results showing the fix actually worked before it goes anywhere near production.
$11,400 starting from
1–5 specific queries or performance issues you can name at kickoff
Production access and a representative test environment available from day one
Suggested changes documented with the results achieved in testing, plus a findings and recommendations report
If autovacuum or bloat across the whole schema is the concern, the Health Audit is the better starting point
Slow MongoDB queries are frequently an indexing or shard key problem wearing a performance costume. This engagement targets up to 5 specific queries or issues you've already identified, and tests every fix in your environment before it goes to production.
We analyze index usage and shard key distribution where applicable, test proposed changes, and verify results before they reach your findings report.
Scoped to 1–5 specific queries or issues you can name at kickoff. If the concern is broader, replica set or sharded cluster health generally, our Health Audit is the better fit. This engagement assumes that production access and a representative test environment are both available from day one.
Verified fixes for the queries you flagged, with any indexing or sharding root cause called out explicitly, not a generic 'add an index' recommendation without knowing whether the index will actually get used. Where aggregation pipelines are involved, you'll know which stages are forcing a collection scan and why.
$11,400 starting from
1–5 specific queries or performance issues you can name at kickoff
Production access and a representative test environment available from day one
Suggested changes documented with the results achieved in testing, plus a findings and recommendations report
General replica set or sharded cluster health is a better fit for the Health Audit
Latency spikes in Redis or Valkey are usually about data structure choice or persistence overhead , not the command itself. A command that's fast in isolation can still cause latency spikes if it's colliding with an AOF rewrite or a poorly sized eviction policy.
This engagement targets up to 5 specific issues you've already identified, and tests every fix in your environment before it goes to production.
Scoped to 1–5 specific performance issues you can name at kickoff. If you don't yet know what's causing the latency, our Health Audit is a better starting point. This engagement assumes that production access and a representative test environment are both available from day one.
Specific, tested fixes for the latency or memory issues you flagged, not a generic 'use hashes instead of strings' writeup that ignores what's actually driving your latency. You'll know whether the spike is a data structure choice, a persistence operation colliding with your traffic, or a command that's O(N) on a collection that's grown past what it was designed for.
$11,400 starting from
1–5 specific performance issues you can name at kickoff
Production access and a representative test environment available from day one
Suggested changes documented with the results achieved in testing, plus a findings and recommendations report
If you don't yet know what's driving the latency, start with the Health Audit
FAQ’s
