Expert insights on database management, performance optimization, and reliability engineering from industry professionals
A complete guide to MySQL JSON functions — JSON column type, JSON_EXTRACT and arrow operators, JSON_SET vs JSON_INSERT vs JSON_REPLACE vs JSON_MERGE_PATCH, functional indexes, and multi-valued indexes for arrays.
A deep dive into PostgreSQL JSONB vs JSON storage formats, GIN and B-tree indexing strategies, containment operators, and the performance characteristics that determine which to use for document storage workloads.
Choose the right Cassandra compaction strategy for your workload — STCS for write-heavy, LCS for read-heavy, TWCS for time-series
A production guide to PostgreSQL full-text search — building tsvector generated columns, GIN indexes, multi-column search with setweight, ts_rank scoring, websearch_to_tsquery, and comparison against Elasticsearch.
Measure PostgreSQL table and index bloat, then use pg_repack to reclaim space with zero downtime
A production guide to MySQL full-text search — FULLTEXT index creation, MATCH AGAINST in natural language and boolean modes, the 50% rule, InnoDB vs MyISAM FTS, combining with B-tree indexes, and comparison against Elasticsearch.
Use MySQL Performance Schema to profile queries, monitor memory, and diagnose bottlenecks without guesswork
Master Redis performance tuning with expert tips on memory optimization, connection pooling, data structures, and caching strategies for high-traffic apps.
Secure your MySQL and PostgreSQL databases — TLS, at-rest encryption, role-based access, and audit logging
PgBouncer multiplexes thousands of application connections onto a small pool of real PostgreSQL server connections — reducing connection overhead without any application code changes.
mysqlpump adds parallel backup support to MySQL's logical dump toolset — enabling multi-threaded exports that can be 3-5x faster than mysqldump for large databases.
MySQL InnoDB supports multiple compression strategies — from ROW_FORMAT=COMPRESSED to transparent page compression using punch holes. Choosing the right approach can cut storage by 40-70% for text-heavy workloads.
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