Database Platforms

Enterprise-grade database engineering and operations—designed for performance, resilience, and audit-ready controls across SAP HANA, SQL Server, Oracle, and PostgreSQL, with proven backup and recovery platforms.

1. SAP HANA

HANA architecture and operations engineered for throughput and stability—built for scale, encryption, and predictable maintenance.

  • Sizing, storage layout, and performance baselines for enterprise workloads
  • Backup strategy (Backint, snapshots) with restore validation and runbooks
  • Patch/upgrade planning with downtime-minimizing procedures and rollback paths
Read more…

2. HANA System Replication

High-availability engineering for HANA—designed to meet aggressive RPO/RTO with tested failover and operational guardrails.

  • Scale-up / scale-out patterns, sync modes, and latency-aware design
  • Pacemaker clustering, fencing strategy, and health-check automation
  • Regular failover/failback drills with evidence capture and remediation actions
Read more…

3. Microsoft SQL Server

SQL Server platform reliability—standardized builds, security baselines, and HA/DR patterns aligned to enterprise governance.

  • Always On / clustering options with monitoring and operational playbooks
  • Backup, log shipping/restore testing, and retention strategy
  • Hardening, patch cadence, and performance tuning for predictable operations
Read more…

4. Oracle Database

Oracle engineering for mission-critical workloads—secure configuration, performance tuning, and DR designs with validated recovery.

  • Architecture patterns for RAC/Data Guard (where applicable) and monitoring
  • Backup and recovery strategy with restore validation and automation
  • Change control, patch planning, and compliance-aligned operational processes
Read more…

5. PostgreSQL

PostgreSQL platform readiness and operations—secure-by-default, performance-tuned, and engineered for resilience in cloud environments.

  • Replication and HA options aligned to service level and workload profile
  • Backup tooling, restore testing, and lifecycle patching strategy
  • Observability: logs/metrics, alert tuning, and incident response runbooks
Read more…

6. Backup & Recovery Platforms

Outcome-driven protection for databases—standardized policies, automation, and routine restore testing to ensure recoverability.

  • Backup design: RPO/RTO alignment, retention, immutability, and encryption
  • Restore validation (table/system) with evidence capture and audit readiness
  • Disaster recovery runbooks, automation hooks, and operational governance
Read more…