The Challenge
DataCore analytics queries across 500M data rows were timing out and taking up to 45 seconds to generate client reports.
Our Solution
WebZap restructured PostgreSQL table indexing, partitioned BigQuery datasets, and implemented Redis query caching.
Key Features Implemented
Specific technical features built into this application.
BigQuery Table Partitioning
Partitioned 500M row dataset by date and customer ID reducing scan volume by 90%.
Cloud SQL Read Replicas
Offloaded heavy analytical read queries to secondary PostgreSQL read replicas.
Redis Query Result Cache
Caches frequent dashboard queries serving responses in 20 milliseconds.
Automated Daily Backup Vault
Encrypted snapshot backups stored in multi-region GCP bucket.
Key Performance Indicators
Quantifiable results achieved post-launch.
WebZap reduced our query speeds from 45 seconds to less than half a second while cutting our GCP bill in half!
Let's Engineer Your Digital Product
Speak with our lead architect to review technical specs and timelines.