Performance changes without warning
A query runs well most of the day, then slows after a release, a plan change, or a shift in data volume.
Performance tuning
Make slow SQL Server workloads a solvable problem.
Timeouts, blocking, unpredictable query times, and rising CPU all have a cost outside the database. We work with your team to identify what is limiting the workload, test targeted changes, and measure the result.
Work directly with experienced SQL Server specialists.
When to bring us in
Recognize any of these situations?
Start with the problem your team is experiencing. You do not need a diagnosis before you get in touch.
More resources have not solved it
A larger server or higher cloud bill has bought time, while concurrency and peak-hour complaints keep growing.
Teams disagree about the cause
The application, database, and infrastructure teams each see part of the problem. You need a shared diagnosis.
What we investigate
Work through the whole problem.
The scope is tailored to your environment, with the evidence and access method agreed at the start.
Focus 01
Queries and execution plans
Investigate high-impact statements, execution plans, estimates, parameter-sensitive behavior, statistics, indexes, memory grants, and spills.
Focus 02
Concurrency and resource pressure
Examine blocking chains, transaction scope, deadlocks, waits, CPU demand, memory pressure, storage latency, and tempdb contention.
Focus 03
Application and infrastructure context
Review how the application uses SQL Server, including request volume, connection behavior, retry patterns, maintenance overlap, and infrastructure limits.
What you receive
A result your team can act on.
Agree the deliverables before work begins. Implementation, where included, follows your testing and change process.
Root-cause analysis
An explanation of the evidence and which parts of the diagnosis are confirmed or still need testing.
Targeted changes
Recommended query, index, configuration, or application changes, with tradeoffs and a rollback approach.
Before-and-after comparison
Compare response times, resource use, and throughput under a representative workload. Record differences in test conditions.
Regression watchlist
The queries, signals, and thresholds your team should watch after the change, with a repeatable troubleshooting approach.
A practical distinction
Plan for the conditions that matter.
The right technical choice depends on the workload and the way your team operates it.
Tune for the workload that matters.
A fast isolated query does not prove the application will perform well at peak demand. Define the user operation, concurrency, response-time target, and resource limits first. Then test changes against those conditions.
How the work happens
A clear path from evidence to action.
You stay involved in the decisions and understand the reasoning behind the recommendations.
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Capture the slow period
Identify when the problem happens and collect evidence that represents the actual complaint.
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Find the limiting factor
Connect query behavior, concurrency, and resource signals before selecting an intervention.
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Test targeted changes
Agree the test environment, acceptance criteria, and rollout method with the people who own the application.
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Verify and explain
Measure the effect and walk your team through why the change helped, including any remaining constraints.
Before you start
Questions worth answering.
A focused conversation helps establish whether this service fits your situation.
Can you help when we cannot change the application code?
Yes. The investigation can consider indexing, statistics, configuration, deployment conditions, and vendor-supported changes. Some causes require application changes; the findings will make those limits clear.
Will we need a bigger server?
The evidence decides. Capacity can be the constraint, but adding resources will not resolve every blocking, plan, or application problem. Any sizing recommendation should follow the workload analysis.
Can you investigate an intermittent problem?
Yes. Existing Query Store history, monitoring, logs, and a timeline of incidents can help. If the right evidence is missing, the first deliverable may be an agreed collection plan for the next occurrence.
Related services
Follow the problem to the right next step.
Some issues span more than one part of the environment. We can combine the relevant work in one agreed scope.
SQL Server health check
Know what to fix first.
Start here when
The same incidents keep returning.
Explore sql server health check
Expert consultation & team guidance
Get a clear answer to a difficult decision.
Start here when
You need an independent technical opinion.
Explore expert consultation & team guidance
Tell us what is getting in the way.
A slow application, recurring incident, upcoming change, or process your team wants to improve. Start with a short description.