Cloud & Security

High-Availability Databases

Data architecture designed to survive traffic spikes and failures.

The problem

Your database slows down when traffic peaks, and you have never tested a restore. For registration windows and sales events, that is a serious business risk.

What's included

  • Schema and query review
  • Replication and failover design
  • Connection pooling and caching
  • Automated backups with tested restores
  • Load testing for expected peaks
  • Monitoring and capacity alerts

How it fits together

High-Availability Databases architectureApplicationConnection poolCachePrimaryReplicaBackups
High-Availability Databases architecture: Application, then Connection pool, then Cache, then Primary, then Replica, then Backups.

The stack

  • PostgreSQL
  • MySQL
  • Redis
  • Managed cloud databases

Typical outcomes

  • Stable performance during peak windows
  • Backups you know can be restored
  • Early warning before capacity runs out

Results depend on your starting point and scope.

Common questions

Usually, yes. Indexing, query tuning, caching and pooling often solve most of the problem, so we start there.

We restore them to a separate environment on a schedule and check the data, because a backup that has never been restored is unproven.

In the region you choose, inside your own cloud account wherever possible.

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