Solution

Database solutions

Relational and analytical data platforms with migration, high availability, performance, security hardening, and runbooks that keep finance, customer, and operational stores authoritative through patch cycles and cloud moves.

Empty data centre aisle between rows of server racks

Database Solutions keep relational and analytical stores reliable through selection, migration, hardening, performance tuning, and day-two operations. Whether you run on managed cloud services or self-managed clusters, we document recovery objectives, patch windows, and access patterns so DBAs, security, and application teams share one operating model.

Migrations include schema mapping, cutover strategies with minimal downtime, rollback rehearsals, and post-migration reconciliation so finance and customer systems never lose authoritative balances. We plan capacity, indexing, and partitioning with realistic workload profiles - not lab-only queries.

Security covers least-privilege roles, encryption, auditing, and integration with secrets management and SIEM. High availability and disaster recovery designs spell out RPO/RTO, failover drills, and who declares incidents when replication lag breaches thresholds.

Observability ties query latency, lock contention, backup success, and replication health to dashboards SRE and application owners actually watch. Runbooks cover common failure modes: runaway queries, disk pressure, and certificate rotation on managed endpoints.

Platforms we implement in this space

How it applies by industry

Data stores your applications depend on

Performance, backups, and access control are engineered as one story so when auditors or customers ask how data is protected, engineering and risk cite the same architecture pack.

Platform design and sizing
Engine choice, HA topology, read scaling, and storage strategy matched to workload and compliance constraints.
Migration and upgrade
Lift-and-shift, replatform to managed services, and in-place upgrades with rehearsed cutover and rollback.
Performance and reliability
Indexing, query tuning, connection pooling, and capacity plans tied to release trains and seasonal peaks.
Security and compliance
Hardening baselines, auditing, column-level controls where needed, and alignment to SOC 2 and sector expectations.
Backup and DR
Backup encryption, restore drills, cross-region replication, and documented RPO/RTO targets.
Operational runbooks
Patch cadence with vendors, on-call playbooks, and integration with incident management tooling.

Outcomes platform owners measure

Enterprises invest in these programmes to reduce outage blast radius, shorten restore times, and stop database surprises from blocking releases.

Predictable performance when indexing and capacity follow production-shaped traffic.
Faster, rehearsed restores when backups and DR are tested like application deploys.
Cleaner access reviews when roles map to applications and break-glass is time-boxed.

Database modernisation, managed services, and performance engineering

Engineering teams evaluating commercial database moves, consolidation patterns, or cloud native adoption strategies need verified migration pathways with automated fallback options rather than one-way commitments. Hosn Al Tomoh documents schema transforms, real-time validation queries, and sequenced application connection cutovers so emergency rollback remains operationally credible. That discipline is what separates database migrations that succeed quietly on schedule from those that become multi-weekend heroic efforts with unclear recovery positioning when things go sideways at three in the morning.

Performance engineering starts with measurement rather than speculation. Query analysis, index strategy, connection pool tuning, and lock contention diagnostics identify real bottlenecks so optimisation investment produces measurable improvements. Hosn Al Tomoh integrates performance work into the standard operations practice rather than treating it as a specialised consulting exercise reserved for emergencies. That continuity keeps databases healthy across application changes, traffic patterns, and data growth rather than oscillating between calm periods and expensive performance rescue projects.

High availability and disaster recovery architectures reflect actual business tolerance for downtime and data loss rather than generic uptime promises. Hosn Al Tomoh designs replication, failover, and backup strategies that align with recovery time and recovery point objectives. Failover drills run on cadence with documented procedures, and the criteria for invoking each path are explicit. That rehearsal discipline is what produces confidence when an actual incident arrives rather than discovering the runbook has drifted from reality during the outage itself.

Multi-tenant and row-level security patterns protect sensitive data across shared environments. Hosn Al Tomoh implements policy-based access controls so application-layer code does not become the sole enforcement point for access decisions. That defence in depth is especially important for SaaS platforms and shared enterprise analytics environments where accidental cross-tenant data exposure would trigger significant customer and regulatory response. Evidence exports demonstrate control effectiveness during security reviews without manual report preparation each time.

Schema evolution, zero-downtime migrations, and online DDL operations have become standard expectations rather than advanced capabilities. Hosn Al Tomoh applies patterns like expand-and-contract, dual-writing, and gradual cutover so applications evolve continuously without maintenance windows that consume customer-facing availability. Application teams adopt these patterns as part of their standard delivery workflow, which reduces the operational load on database administrators while keeping platform evolution sustainable over multiple years of product development.

Managed database services receive a specific operational treatment. Monitoring, patching, capacity planning, backup verification, and security hardening follow consistent processes regardless of which database engine is involved. Hosn Al Tomoh manages Oracle, PostgreSQL, SQL Server, MySQL, Cassandra, MongoDB, and cloud-native database services through shared observability and escalation patterns. Operations teams can then work across a mixed estate without separate tooling and rotations for each engine.