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Database Operations. Databases that just run.

Managed operations for the database layer. Postgres, MySQL, MongoDB, SQL Server, Oracle, and cloud-managed variants. Monitoring, patching, backups, tuning, and the steady uptime that lets the rest of your stack stop worrying about it.

What we do

What is included.

  • 24x7 monitoring and alerting

    Health, connection pools, slow queries, replication lag. Alerts tuned to real signals. On-call staffed with engineers, not escalation desks.

  • Patching and upgrades

    Minor versions on schedule. Major versions planned, rehearsed, and cut over with a rollback. No surprise database restarts.

  • Backup and restore

    Backups tested with scheduled restore drills. Point-in-time recovery verified, not assumed. Cross-region copies where the workload warrants.

  • Performance tuning

    Index review, query optimization, connection pooling, vacuum and autovacuum tuning. Quarterly performance report with a ranked backlog.

  • Replication and HA

    Primary and replica topology designed for your workload. Failover tested. Promotion drills on a calendar, not on incident night.

  • Security and access

    User and role audits, credential rotation, TLS enforcement, and the audit logs your compliance team expects.

Platforms

What we operate.

  • Postgres
  • MySQL
  • MongoDB
  • SQL Server
  • Oracle
  • Amazon RDS
  • Amazon Aurora
  • Azure SQL
  • Azure Database for Postgres
  • Cloud SQL
  • Redis
  • Elasticsearch
  • pgBackRest
  • Percona
How it works

How it works.

Commitment
Quarterly
Response
SLA-backed
Reporting
Monthly
Handoff path
Always open
FAQ

Questions we get.

Do you support self-managed or managed cloud databases?
Both. Self-managed on EC2, managed RDS or Aurora, Azure Database, Cloud SQL, and the equivalent across providers. Scope agreed before onboarding.
What about major version upgrades?
Planned during quarterly review. Test environment upgrade first, soak, dress rehearsal, then production window. Rollback tested before cutover.
Do you cover data warehouses too?
Data warehouses belong in /managed-services/data-platform-operations/ because the operating shape differs. Classic transactional databases belong here.
Can you tune for read-heavy or write-heavy workloads?
Yes. Tuning is workload-specific. Quarterly review tracks query patterns and updates the index and caching strategy.
What happens if we migrate off?
Runbooks, schemas, monitoring, and access controls documented. Handover to your team or the next vendor on a plan.

Start here

Tell us what you want to move.

Projects, managed services, or staffing. Start with a short note. We reply inside one business day with a clear read on scope, team, and timeline.

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