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.
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StarRocks 4.1: Adaptive Tablets, Range Distribution, and the Upgrade Trade-Offs
StarRocks 4.1 makes tablet layout adaptive: Range distribution, automatic splitting at 10 GB, and 100 GB tablets. When to enable it, and what it costs.
PostgreSQL 19 Beta: Every New Feature That Matters to DBAs
PostgreSQL 19 Beta 1 (June 4, 2026) brings parallel autovacuum, the native REPACK command for online table rebuilds, 2x faster inserts under foreign-key load, online logical replication without a restart, WAIT FOR LSN for read-your-writes consistency, and default changes (JIT off, lz4 TOAST, RADIUS removed). A DBA-focused walkthrough of what changed and what to test before GA.
High Performance with MongoDB: A Top-Down Tuning Guide
A top-down playbook for high-performance MongoDB: measure with the profiler and explain(), model for access patterns, index by the ESR rule, keep the working set in the WiredTiger cache, pool connections, and scale reads with secondaries and sharding — with flow diagrams for each layer.
Migrate On-Premises SQL Server to Amazon RDS: Native Backup/Restore vs AWS DMS
A step-by-step guide to migrating an on-premises Microsoft SQL Server database to Amazon RDS for SQL Server — covering native backup/restore via S3 with the rds_restore_database stored procedure, AWS DMS full-load + CDC for near-zero downtime, option group and IAM setup, cutover, and post-migration hardening.
PostgreSQL Performance Tuning Playbook: A Top-Down Method for Faster Queries
A repeatable, top-down method for tuning PostgreSQL: measure with pg_stat_statements, read plans with EXPLAIN (ANALYZE, BUFFERS), fix queries and indexes before parameters, then tune memory, I/O, WAL, connection pooling, and autovacuum — with a ready-to-adapt postgresql.conf baseline.
PostgreSQL Architecture Deep Dive: Process Model, MVCC, WAL & Replication Explained
Walk through PostgreSQL's multi-process architecture, shared/local memory layout, page-organized storage, MVCC tuple versioning, the WAL write path, the query execution pipeline, and physical + logical replication — all with ASCII flow diagrams that show how data and control actually move through the system.
Azure SQL Managed Instance vs SQL Server on Azure VM vs Azure SQL Database
The decision matrix for the three Azure SQL flavors: eight constraints (cross-DB queries, SQL Agent, CLR, linked servers, networking, licensing…) that pick Managed Instance vs Azure SQL Database vs SQL Server on Azure VM, with a cost comparison and migration paths.
Ola Hallengren's SQL Server Maintenance Solution: Production Setup Guide
Production setup of Ola Hallengren's SQL Server Maintenance Solution: the four jobs that matter, FULL/DIFF/LOG backup cadence for your RPO, DBCC CHECKDB scheduling, IndexOptimize tuning, encryption, and CommandLog-based alerting.
SQL Server Wait Stats: A Diagnostic Playbook for Slow Queries
Read SQL Server wait stats like a senior DBA: the four DMV sources, the eight wait types that cover 95% of incidents (PAGEIOLATCH, LCK_M, CXPACKET, WRITELOG…), and the remediation for each. A 30-minute diagnostic workflow from page to plan.
InnoDB Architecture Explained (2026): Buffer Pool, Redo Log & Production Tuning
Deep dive into InnoDB storage engine internals. Understand buffer pool, redo log, undo log, change buffer, and adaptive hash index for expert-level MySQL optimization.
MySQL Group Replication (2026): Multi-Primary HA, Conflict Resolution & Production Setup
Production-ready MySQL Group Replication deployment guide. Learn cluster sizing, monitoring setup, performance tuning, and disaster recovery planning.
MySQL Explained (2026): InnoDB, 8.4 LTS, Replication & Production Patterns
Everything you need to know about MySQL: storage engines, replication topologies, performance tuning, and cloud deployment. From basics to advanced optimization.
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