Slow queries and high bills have the same root cause.

Missing indexes, redundant queries, and caching gaps cost you response time and money — usually all three at once. We find them in a 30-minute diagnostic and give you a written report the same day. Hands-on, cross-platform database expertise.

30–40%

avg cloud DB savings

60–80%

DB load reduction

471 QPS

pgvector at 99% recall

Free

30-min diagnostic

Savings, load reduction, and benchmark figures from recent client engagements. Results vary.

Why it matters

Data infrastructure problems don't fix themselves

Your cloud database bill goes up every month and nobody knows why

Overprovisioned instances, inefficient I/O patterns, and unused Reserved Instance capacity add 30–40% to cloud bills quietly. Most teams don't look until the number gets uncomfortable.

Your API stays slow no matter how much you upgrade the instance

80% of slow API performance issues live in the application layer — N+1 queries from ORM misconfiguration, connection pool exhaustion, SELECT * where 4 columns would do. Bigger hardware doesn't fix a code problem.

You want AI features but the infrastructure decision keeps stalling the team

Most teams with under 10M vectors can run semantic search and RAG pipelines on the PostgreSQL they already operate. The Pinecone vs pgvector debate delays shipping by months. It usually doesn't have to.

Why Choose DharmOps

Three things clients ask before they book the diagnostic

Here's what we tell them.

The ROI shows up in month one

Most clients recover the engagement cost in the first month from cloud savings alone. We audit your spend before any paid work begins. You know exactly what you'll recover before you commit.

AI features on your existing PostgreSQL

Before you budget for Pinecone or Qdrant, talk to us. Most teams with under 10M vectors can run pgvector on existing PostgreSQL — with SQL joins no dedicated vector database can match. We set it up and tune it.

Same-day diagnosis, not a three-week report

N+1 query diagnosis in one business day. Written action plan within 24 hours of the diagnostic call. Most performance fixes take 2–4 weeks to implement. We move at the speed your engineering team needs.

Fixed cost estimates within 24 hours • No hourly billing surprises • No long-term contracts

See how we've helped similar companies →
Our Process

How It Works

From initial call to optimized database in three transparent steps.

01

Diagnostic Call

Free 30-minute call with a senior DBA. We look at your cloud spend, query patterns, caching setup, pipeline reliability, or API performance — wherever the problem is. No sales pitch. Just an honest assessment.

02

Written Action Plan

Within 24 hours you receive a written plan: what we found, the priority order for fixing it, a realistic timeline, and a fixed cost estimate. Nothing hidden. Nothing hourly.

03

Implementation

We execute the plan and deliver working infrastructure — Redis configured, dbt models tested, N+1 queries fixed, Terraform state managed, pgvector tuned. Full documentation. Your team owns it when we're done.

Most engagements: 2–4 weeks • Fixed cost estimates in 24 hours • No lock-in

Why DharmOps

We measure success by your cloud bill, your query times, and your pipeline reliability — not our billable hours.

Too many consultants deliver a report and disappear. We deliver working infrastructure and document everything so your team owns it when we're done.

Cross-platform expertise across the full data stack

PostgreSQL, MySQL, Redis, Kafka, Terraform, dbt, pgvector. Every service we offer, we've run in production across dozens of companies at scale.

Fixed cost, not hourly billing

Cost estimate within 24 hours of the diagnostic. No surprise invoices at the end of the month. No scope creep without your approval first.

We implement, not just advise

Working infrastructure delivered — not slide decks. Redis configured, dbt models tested, N+1 queries fixed, Terraform state managed. We do the work.

Full knowledge transfer

Your team learns what was built and why. Complete documentation on everything we implement. Your infrastructure doesn't depend on us staying.

Client Success Stories

What Our Clients Achieved

Here's what clients achieved.

"DharmOps took the time to genuinely understand what we needed — not just the technical spec, but the underlying problem. We had a PostgreSQL function requirement that needed real database knowledge to implement well. They delivered a clean, working solution without any back-and-forth. Exactly the kind of collaboration that's hard to find."

NI Services, LLC

PostgreSQL Function Development

"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

"We were running performance issues on a PostgreSQL database with over 300GB of data. DharmOps analysed the workload, found the bottlenecks, and handled the tuning at a scale that required genuine expertise. The scope of what they delivered at that data volume exceeded what we expected going in."

Jalal

PostgreSQL Performance Tuning · 300GB+

Every engagement is documented. Browse all 8 case studies →

Common questions

What clients ask before booking the diagnostic.

How we work

  • The diagnostic is free. You see a fixed cost estimate before committing to anything. No hourly billing, no scope creep without your approval.
  • No black box solutions. Your team learns what was built and why — full documentation on everything we implement.
  • If the diagnostic finds a problem outside our scope, we tell you before any paid work begins.
Free 30-minute consultation • No commitment required

Your cloud database is costing you 30–40% more than it should.

Book a free 30-minute call with a senior DBA. By the end, you'll know exactly where the money is going — and whether we're the right team to fix it.

Or email us at contact@dharmops.com