We work with your existing stack or help you choose the right database for your workload — relational, document, or time-series.
What We Deliver
Database Administration Services
Schema Design & Modelling
Normalised schema design, index strategy, and constraint modelling for relational databases — or document structure and aggregation pipeline design for MongoDB. Built for query performance, not just correctness.
Query & Index Optimisation
EXPLAIN ANALYZE on your slowest queries, missing index identification, query rewrite, and connection pool tuning. We typically cut p95 query time by 60–80% on first engagement.
Backup & Recovery
Automated daily snapshots, point-in-time recovery setup, off-site backup to S3, and a tested restoration runbook. We run a restore drill so you know the backup actually works before you need it.
Replication & High Availability
Primary-replica streaming replication, automatic failover with Patroni or RDS Multi-AZ, and read replica routing — so a single node failure does not take your app down.
Database Migration
MySQL to PostgreSQL, MongoDB to relational, or any legacy DB to a modern ORM-managed schema — with row-count validation, data transformation scripts, and a zero-downtime cutover plan.
Security & Access Control
Role-based access with least privilege, row-level security policies, encryption at rest and in transit, audit logging, and vulnerability scanning for known CVEs in your database version.
How It Works
Our Database Administration Process
Audit
We review your schema, slow query log, connection pool settings, and backup configuration. You get a written findings report with severity ratings.
Design
Schema improvements, index additions, and migration plan documented and reviewed with your team before any changes touch production.
Staging Implementation
All changes applied to a staging clone first. Performance benchmarks run before and after. Rollback scripts prepared.
Production Rollout
Changes applied to production in a maintenance window or online (depending on the change type). Query performance monitored in real time.
Monitoring Setup
pgBouncer connection pool metrics, slow query alerts, replication lag monitoring, and disk usage alerts configured in Datadog or Grafana.
Ongoing DBA
Monthly retainer covers capacity planning, index maintenance, vacuum tuning, version upgrades, and ad-hoc query review.
Technologies We Use
FAQ
Common Questions
PostgreSQL or MySQL — which should I use?
PostgreSQL for almost everything new. It has better concurrency (MVCC), richer data types (JSONB, arrays, ranges), row-level security, and a more active open-source community. MySQL is fine if you are migrating an existing app — we will not force a migration that is not necessary.
Should I use a managed database (RDS, Cloud SQL) or self-hosted?
Managed for 95% of projects. AWS RDS or Cloud SQL handle automated backups, minor version patches, and Multi-AZ failover. The cost premium is worth it unless you have very high I/O or very strict compliance requirements that prevent using managed services.
How often should databases be backed up?
Daily snapshots at minimum, with point-in-time recovery (PITR) enabled so you can restore to any second in the last 7–35 days. For financial or healthcare data, we recommend continuous WAL archiving to S3 and a tested monthly restore drill.
How do you handle migrations without downtime?
We use expand-contract migrations: first add new columns/tables without removing old ones, deploy the new application code, then remove the old schema in a follow-up migration. For large tables, we use pg_repack or online schema change tools so locks are minimal.
Do you offer an ongoing DBA retainer?
Yes. Monthly retainers cover capacity planning, index maintenance, vacuum tuning, version upgrades, query review, and incident response. Retainers start at ₹15,000/month for a single PostgreSQL instance.
Ready to Get Started?
Tell us about your project and we'll respond within 24 hours with a scoped proposal.