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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PostgreSQL Logical Replication: Setup, Use Cases, and Limitations
Configure PostgreSQL logical replication for selective table sync, zero-downtime upgrades, and multi-tenant setups
Redis Use Cases: Caching, Rate Limiting, Pub/Sub, Queues, and Session Storage
A practical guide to Redis use cases in production — cache-aside pattern, sliding window rate limiting, Pub/Sub vs Streams, BRPOP queues with delayed job scheduling, and session storage with persistence configuration.
Apache Kafka for Database Engineers: A Practical Introduction
Understand Kafka from a database perspective — partitions, offsets, consumer groups, and durability guarantees
Database Connection Pooling: PgBouncer, ProxySQL, and HikariCP Compared
A comprehensive guide to database connection pooling — comparing PgBouncer, ProxySQL, and HikariCP with configuration examples, pool mode trade-offs, and production sizing recommendations.
The Ultimate Guide to Choosing the Right Database for Your Application
Navigate the complex landscape of database technologies. Compare SQL vs NoSQL, OLTP vs OLAP, and learn decision frameworks for selecting the perfect database for your use case.
DynamoDB Streams and Lambda: Event-Driven Database Patterns
Process DynamoDB Streams with Lambda for change data capture, cross-region replication, and event sourcing
Partitioning and Sharding Techniques for Database Scalability
Master horizontal and vertical partitioning, plus database sharding strategies for handling billions of records. Learn partition pruning, shard key selection, and cross-shard query optimization.
FoundationDB: The Ordered Key-Value Store Powering Apple and Snowflake
Understand FoundationDB's architecture — ACID transactions, layers, and why Snowflake and Apple chose it
Battle of Memory Allocators: A Deep Dive
Discover how jemalloc, tcmalloc, and mimalloc can dramatically improve MySQL memory management. Real benchmarks showing 2-4x performance improvements and memory leak prevention.
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