Database Administration

Runs your production databases so they stay fast backed up patched and recoverable under load. Covers the operational side of data infrastructure that most engineering groups underinvest in until something breaks.

Everything included under this practice line.

01

Performance tuning: query plan analysis index strategy statistics maintenance and slow query remediation

02

Backup and point-in-time recovery configuration with tested restore drills against agreed RPO and RTO

03

High availability and replication setup including failover testing for Always On Patroni and managed replica topologies

04

Version upgrades and major-version migrations with compatibility testing and rollback plans

05

Schema change review and safe rollout for online DDL using tools like gh-ost and pt-online-schema-change

06

Capacity forecasting and storage growth planning tied to actual workload patterns

07

Database security hardening: encryption at rest and in transit least-privilege access and audit logging

08

24x7 database incident response including deadlock resolution replication lag and space exhaustion

The stack we reach for.

PostgreSQL and Amazon RDS and AuroraMicrosoft SQL ServerMySQL and MariaDBMongoDB and AtlasOracle DatabaseRedis and ElastiCachepgBadger pgAnalyze and SolarWinds DPAPercona Toolkit

What the business gets, measured.

  • Consistent application response times as data volume grows
  • Recoverable data with proven restore paths rather than backups no one has tested
  • Reduced risk of extended outages from a single database node failing
  • Lower storage and compute cost through tuning rather than throwing hardware at the problem
  • Compliance-ready access controls and audit trail on sensitive data

The specialists behind this practice line.

Database administrators lead the operational work with performance specialists engaged for tuning engagements and data platform engineers when replication topology or major-version migration is involved. The DBA assigned to your environment stays consistent so tuning decisions build on prior context rather than starting fresh each incident.

Let's talk

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Written follow-up with a rough plan and price band

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