Databases & data platforms

Databases are infrastructure. They need the same discipline as the servers and networks beneath them: defined ownership, tested recovery, tuning grounded in measurement, and lifecycle management through upgrades and schema change.

Typical work

• Deployment and baseline hardening (PostgreSQL, MySQL/MariaDB, and similar engines)
• Replication, failover, and high-availability topologies
• Backup integration, point-in-time recovery, and restore validation
• Query and schema review — indexing, execution plans, connection pooling
• Monitoring and alerting integration (Icinga checks, slow-query alerts, capacity thresholds, escalation into on-call workflows)
• Upgrade planning, migration, and major-version lifecycle management
• Operational runbooks for routine maintenance and incident response

Our bias

Measure first, tune second. A well-monitored database with a tested restore path beats aggressive caching on shaky foundations.