Server racks and data infrastructure
CASE_STUDY / JAN 2026

The 1M Record Caching Strategy

This project reflects the notification and queue-processing architecture used for the Landkreis Fulda App, where high record volume and daily operational messaging had to remain reliable under sustained demand.

RECORD_VOLUME10,00,000+
DAILY_NOTIFICATIONS80,000+
QUEUE_THROUGHPUT1,000+ jobs/hour

Context

The system needed to deliver push, email, and in-app notifications at public-sector scale without slowing the core application. Data volume alone was not the only problem. The real challenge was keeping background processing predictable while user-facing operations stayed responsive.

Approach

  • Used Laravel and Redis-backed processing to separate real-time application traffic from queued delivery work.
  • Structured queue handling around predictable workloads so spikes in notifications did not block transactional user requests.
  • Kept MySQL focused on durable application state while Redis supported the fast-moving operational layer.

Outcome

The result was a notification platform capable of supporting large public-sector workloads with steady throughput and cleaner operational control. Instead of treating scale as a one-time optimization task, the system was shaped around sustained delivery volume from the start.

[NOTE] A deeper technical write-up with diagrams and queue topology can be added later if you want this expanded into a full engineering article.