The JusDB Database Engineering Blog
Deep dives on PostgreSQL, MySQL, MongoDB and more — performance tuning, high availability, migrations and production war stories from our DBAs.
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StarRocks Monitoring & Alerting: The Complete Production Guide
Complete guide to StarRocks monitoring with Prometheus and Grafana. Covers resource saturation, cluster health, and application availability alerts with PromQL expressions and runbooks.
Solving Cache Invalidation and Stampede in Valkey with Debezium CDC
Eliminate stale cache reads and thundering-herd stampedes by streaming MySQL binlog changes to Valkey via Debezium CDC. Full Java setup with embedded engine and XFetch.
OLAP vs OLTP: Choosing the Right Database for Your Workload
Understand the differences between OLAP and OLTP systems — query patterns, storage engines, and when to use a hybrid approach
ScyllaDB vs Apache Cassandra: Performance and Operational Differences
Compare ScyllaDB and Apache Cassandra — throughput, latency, operational complexity, and when to switch
Cassandra Compaction Strategies: STCS, LCS, and TWCS Explained
Choose the right Cassandra compaction strategy for your workload — STCS for write-heavy, LCS for read-heavy, TWCS for time-series
MongoDB Aggregation Pipeline: Advanced Patterns and Performance
Master MongoDB aggregation pipeline stages — $lookup, $group, $facet, explain plans, and index optimization
PostgreSQL Table Bloat and pg_repack: Reclaim Disk Without Downtime
Measure PostgreSQL table and index bloat, then use pg_repack to reclaim space with zero downtime
PostgreSQL Autovacuum Tuning: Prevent Table Bloat and Dead Tuples
Fine-tune PostgreSQL autovacuum to eliminate dead tuples, prevent table bloat, and maintain query performance
MySQL Performance Schema: A Practical Guide
Use MySQL Performance Schema to profile queries, monitor memory, and diagnose bottlenecks without guesswork
PostgreSQL Wait Events: Understanding What Slows Your Database
Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production
pg_stat_statements: Query Performance Analysis in PostgreSQL
How to use pg_stat_statements to identify slow queries, analyze execution stats, and optimize PostgreSQL performance
5 Surprising Truths About Database Performance
Five counterintuitive database performance truths every engineer gets wrong — over-indexing costs, N+1 queries, connection pool sizing, replica reads, and EXPLAIN limitations.
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