Database
Queries that used to be fast start timing out. Connections run out. The answer becomes a bigger instance and a bigger bill.
Data Infrastructure Engineering for teams whose databases, pipelines, and data platforms keep slowing down, costing more, or breaking. We trace the root cause, fix it, and stay on as your data infrastructure partner, not a one-time vendor call.
[OK] postgres: autovacuum completed on orders
[INF] pipeline: nightly dbt run finished, 0 failures
[OK] backup: full + WAL chain verified
A database doesn't become slow overnight. Small architectural compromises accumulate for months until tuning stops helping and more cloud spend stops helping. The problem isn't performance. It's the decisions stacked underneath it.
Queries that used to be fast start timing out. Connections run out. The answer becomes a bigger instance and a bigger bill.
Pipelines run green while data arrives late or incomplete. Every new dataset waits in a queue behind one overloaded team.
Dashboards disagree, forecasts miss, and AI projects stall because nobody fully trusts the numbers underneath.
We start at the bottom layer. That's usually where the problem started.
Each service starts from a problem your team can already see, not from a tool we want to sell.
Each engagement started with a diagnosis, not a tool recommendation.
Every engagement begins with the same five steps, so you know what you'll have in hand before you commit to the next one.
You describe what's breaking: slow queries, rising spend, pipelines that fail quietly, or numbers nobody trusts. We ask how the system got here.
What you receive: A straight answer on whether we're the right team, and what an assessment would cover.
We go through your actual setup: query plans, configuration, pipelines, and the access patterns behind them. Fixed scope, quoted before you commit.
What you receive: A traced root cause, not a list of generic best practices.
A written report with the root cause, risk scores, and fixes ranked by impact and effort.
What you receive: A roadmap your team can execute with us or without us.
We ship the fixes, document the reasoning behind every change, and walk your team through it.
What you receive: Working infrastructure and an engineering team that understands it.
We stay on as your data infrastructure partner: watching the systems we changed, tuning as your data grows, and working alongside your team on what comes next.
What you receive: A partner who already knows your infrastructure and is there when something shifts.
Engagements run in the open, inside the tools your engineers already use.
The engineer tracing your problem is who you talk to. No account manager relaying it to whoever's actually staffed on it.
Questions, findings, and decisions happen in a shared Slack or Teams channel for the length of the engagement, not a ticket queue you have to follow up on.
Every recommendation comes with the evidence behind it: query plans, metrics, and the reasoning for the tradeoff we chose, not just the conclusion.
When there's an active incident, we join a live call with your engineers and work it in real time, not a status update the next morning.
Runbooks, architecture notes, and a walkthrough, planned in from day one instead of rushed at the end, so your team owns the system when we leave.
Each option works for someone. Here's how they compare when the problem crosses the database, the pipelines, and the application.
"Our PostgreSQL queries were slowing down as our dataset grew. We'd already tried the obvious fixes ourselves. DharmOps got into our query plans, identified the root cause quickly, and tuned what mattered. The kind of deep database knowledge you can't easily find elsewhere."
Jasara Technology Inc.
PostgreSQL Query Optimization
Practical write-ups your engineers can use today, whether or not we ever work together.
One call to walk through the symptoms. You'll leave knowing where to look first.
Book a Discovery CallOr email contact@dharmops.com