Database & Data Ops
Enterprise-grade data architecture — schema design, administration, secure migrations and query performance tuning.
Schema design and data modelling for scale
Zero-downtime migrations with rollback strategies
Query optimisation, indexing and execution plan analysis
Read replicas, sharding and horizontal scaling
Automated backups, point-in-time recovery, and DR planning
Database security — encryption, RLS, audit logging
Products experiencing slow queries or high database CPU under load
Systems migrating between database providers with minimal downtime
High-growth startups needing a solid data architecture before scale hits
SQL or NoSQL — which should we use?
It depends on your data shape and query patterns. We start with PostgreSQL for most products (relational, ACID, JSON support). MongoDB or DynamoDB are appropriate for specific document-heavy or globally-distributed workloads. We recommend based on your use case, not trend.
Can you migrate our existing database without downtime?
Yes. We use blue-green migrations, shadow tables, and dual-write periods to migrate live databases with zero planned downtime. We have migrated production systems with millions of rows.
Our queries are slow. Can you help?
Performance tuning is a speciality. We start with query analysis (EXPLAIN ANALYZE), add targeted indexes, rewrite N+1 queries, and add read replicas or caching (Redis) where latency demands it.
Do you set up backups and disaster recovery?
Always. Point-in-time recovery, automated backup testing, and cross-region replication where RPO/RTO requirements demand it. We document your recovery runbook and verify it works before handoff.