Four things we do, done to production standard.
Every engagement is anchored to measurable targets: recovery point and recovery time objectives, response-time baselines, and cutover windows agreed with the program office before work starts.
DESIGN
Database design & data architecture
We analyze how your data is structured and accessed, then shape the architecture around your actual use cases. Logical and physical models, partitioning and indexing strategy, and capacity plans sized to real workloads, with schemas documented so the next team can maintain them.
- Data modeling
- Platform engineering
- Re-architecting
- Hybrid data tiers
- Lakehouse (Iceberg / Parquet)
- Federated queries (Trino)
- Partitioning & lifecycle
- Capacity planning
- Security baselines
MIGRATE
Migration & modernization
Version upgrades, engine changes, and data center to cloud migrations, including Oracle and MySQL to Aurora and PostgreSQL and relational databases to a lakehouse, with rehearsed cutovers, validated row counts, and a tested rollback path.
- On-prem → OCI / AWS / Azure
- Oracle upgrades
- Oracle → Aurora
- Oracle → PostgreSQL
- MySQL → PostgreSQL
- MySQL upgrades & migrations
- Database → lakehouse
- Near-zero-downtime cutover
PROTECT
High availability & disaster recovery
Clustered and replicated architectures built to documented RPO and RTO, with automated failover and load balancing weighted by real-time metrics, proven with scheduled switchover and restore drills.
- RAC
- Data Guard
- GoldenGate
- Aurora global databases
- Automated failover
- Metrics-weighted load balancing
- RMAN & restore testing
TUNE
Performance engineering
AWR and ASH analysis, SQL tuning, and baseline-driven monitoring that flags regressions before users feel them. Findings come with the fix and the evidence.
- AWR / ASH
- SQL tuning
- Wait-event analysis
- AI-assisted baseline monitoring
- OEM / Grafana / Datadog integration