Database Infrastructure Specialists

Database Services

One discipline: database infrastructure and optimization. The specific service — performance, cost, or architecture — depends on your problem. Every engagement starts with a free diagnostic.

All Services

Performance & Reliability

Slow queries, outages, and scaling problems — diagnosed and fixed.

Retainer · From $2,500/mo

Managed DBA

Senior DBA coverage without the full-time hire

A full-time senior DBA costs $175,000–$300,000/year. Our managed DBA retainer starts at $2,500/month. It covers proactive monitoring, query optimization, schema review, and on-call incident response — most clients see the first performance fix in week two.

  • Proactive monitoring and slow query remediation
  • On-call incident response (30-min P1 SLA on Enterprise plan)
  • Schema change review before every deployment
  • Monthly performance health report
  • PostgreSQL, MySQL, Oracle, and SQL Server coverage
View service details
30–70%
cheaper than in-house DBA
Week 2
first fix delivered
One-Time Diagnostic · No Retainer

Database Troubleshooting

Database slow or down? Find out why, in writing

For the database problem you need solved now, not a new ongoing relationship. We diagnose the root cause across PostgreSQL, MySQL, MongoDB, Redis, SQL Server, and Aurora — slow queries, replication lag, lock contention, crashes with no clear cause — and hand you a written fix plan with the tradeoffs named. One-time engagement, free initial diagnostic.

  • Slow query diagnosis with query plans and evidence
  • Outage and crash root-cause triage
  • Replication lag, lock contention, and connection pool fixes
  • Capacity and scaling assessment
  • Migration and version-upgrade health checks
View service details
Read-only first
how we start every engagement
Root cause
in writing, not a guess
N+1 Fixes · ORM Audits · Pooling

Backend/API Performance

The slow query is often in your app, not your database

80% of slow API performance issues trace back to the application layer: N+1 queries from ORM misconfiguration, connection pool exhaustion, or SELECT * where 4 columns would do. Adding a read replica doesn't fix a code problem. We instrument your endpoints, find the actual cause, and fix it.

  • N+1 query detection and same-day diagnosis
  • ORM audit (Django, Rails, Laravel, Prisma, Hibernate, SQLAlchemy)
  • Connection pool sizing and PgBouncer/RDS Proxy setup
  • GraphQL DataLoader implementation
  • Query plan correlation to application code
View service details
80%
API issues: app-layer cause
Same day
N+1 diagnosis
Reduce DB Load 60–80%

Caching Architecture

Stop your database from doing work it shouldn't

Upgrading to a bigger instance is the most expensive way to fix a read volume problem. A well-designed Redis caching layer reduces database load 60–80% and cuts read response times to under 1ms—without touching your schema. We design the right invalidation strategy so you get speed without consistency bugs.

  • Redis architecture design and cluster setup
  • Cache invalidation strategy (TTL, write-through, event-driven)
  • Session storage and rate limiting
  • Database query offloading patterns
  • Redis as message broker and job queue
View service details
60–80%
DB load reduction
<1ms
cache read latency

Cost Optimization

Find the 30–40% most teams overpay on cloud database bills.

Cut Cloud Costs 30–40%

Database FinOps

Find the 30–40% you're overpaying on cloud database bills

Most companies overpay on RDS, Aurora, Snowflake, and BigQuery by 30–40%. Overprovisioned instances, inefficient I/O patterns, and unused Reserved Instance capacity add up. We audit your spend, identify every dollar being wasted, and implement the fixes—average client recovers the engagement cost in the first month.

  • RDS, Aurora, Snowflake, BigQuery cost audit
  • Instance right-sizing with zero-downtime migration
  • I/O and storage optimization
  • Reserved Instance and Savings Plan strategy
  • Ongoing cost monitoring retainer available
View service details
30–40%
avg bill reduction
90 days
typical payback

Data Infrastructure

Build, migrate, or architect the data layer your product depends on.

AWS · GCP · Azure · Kubernetes

Cloud Infrastructure

Infrastructure that runs itself takes work to design

Cloud infrastructure provisioned through the console eventually becomes unmanageable. We build Terraform-managed infrastructure for your database workloads—fully reproducible, reviewable, and ready for regional failover. Designed for 99.99% uptime and right-sized for cost from day one.

  • Terraform IaC implementation and migration
  • RDS, Aurora, Cloud SQL architecture
  • Multi-region failover and disaster recovery
  • VPC design, security groups, IAM
  • Kubernetes stateful workload design (EKS, GKE, AKS)
View service details
99.99%
uptime architecture
Multi-cloud
AWS, GCP, Azure
pgvector · RAG · Embeddings

AI Data Infrastructure

Your existing PostgreSQL can power your AI product

Before you add Pinecone or Qdrant, talk to us. Most teams with under 10M vectors can run semantic search, RAG pipelines, and AI features directly on the PostgreSQL they already operate. Properly tuned HNSW indexes on pgvector deliver 471 QPS at 99% recall—with SQL joins dedicated vector databases can't do.

  • pgvector setup and HNSW index tuning
  • RAG pipeline architecture and implementation
  • Embedding storage and chunking strategy design
  • Semantic search and recommendation engines
  • LLM context storage and conversation memory
View service details
471 QPS
pgvector at 99% recall
No new DB
runs in PostgreSQL
dbt · Kafka · ETL/ELT Pipelines

Data Engineering

Build pipelines your analysts trust

When analysts spend half their time questioning whether the numbers are right, you have a data engineering problem—not an analytics problem. We build dbt models, ETL/ELT pipelines, and Kafka event streams that keep your data fresh, tested, and consistent across every dashboard.

  • dbt implementation and data modeling
  • ETL/ELT pipeline design with Airbyte or Fivetran
  • Kafka and event streaming architecture
  • Airflow or Prefect orchestration
  • Data warehouse architecture (Snowflake, BigQuery, Redshift)
View service details
4–8 wks
typical dbt implementation
1 truth
one metric definition
Oracle · MySQL → PostgreSQL · Snowflake · BigQuery

Database Migration

Off the platform that's costing you, without the downtime

An Oracle renewal that went up again. A MySQL instance hitting a concurrency ceiling. A Snowflake or Redshift bill that doesn't match the workload. We assess the real scope, convert the schema, and cut over using change data capture — so the migration doesn't cost you a maintenance window on top of the engineering time.

  • Migration assessment and schema conversion (Oracle PL/SQL, MySQL, SQL Server)
  • CDC-based cutover with a rollback path, not a big-bang outage
  • Warehouse migration between Snowflake, BigQuery, and Redshift
  • Data type mapping and application-compatibility testing
  • Post-migration performance tuning against the old platform's baseline
View service details
40–70%
typical Oracle → PostgreSQL TCO cut
CDC-based
cutover, not a maintenance window

Not Sure Where to Start? Book a Free Diagnostic.

A 30-minute call with a senior DBA. We'll review your situation and tell you exactly what's causing your problems—and which service will fix them fastest.