MinervaDB Blog: Mastering WebScale Database Infrastructure

Kafka exactly-once semantics transaction coordinator commit protocol diagram

Kafka Exactly-Once Semantics: The Ultimate 2026 Deep Dive

Kafka exactly-once semantics is the most misunderstood feature in the Apache Kafka toolbox. Most teams flip processing.guarantee to exactly_once_v2, watch duplicates disappear from a test harness, and declare victory. Then a producer stalls at 03:00, [...]

Troubleshooting PostgreSQL Streaming Replication Lag in Production

PostgreSQL replication lag troubleshooting: measure send, flush and replay lag via pg_stat_replication, isolate the bottleneck stage, and fix it.

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PostgreSQL lock contention featured image for the MinervaDB pg_locks deep dive, showing a three-step blocking chain

Resolving PostgreSQL Lock Contention: A pg_locks Deep Dive

PostgreSQL lock contention resolved: read pg_locks correctly, trace blocking chains, fix deadlocks, and design DDL that never queues production.

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Detecting and Fixing PostgreSQL Index Bloat with REINDEX CONCURRENTLY

PostgreSQL index bloat: measure it with pgstattuple, understand why B-trees inflate, and rebuild online with REINDEX CONCURRENTLY without downtime.

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PostgreSQL Wait Event Analysis: Finding Bottlenecks with pg_stat_activity

PostgreSQL wait events explained: sample pg_stat_activity, interpret Lock, LWLock, IO and Client waits, and turn wait profiles into targeted fixes.

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Diagnosing Autovacuum Lag and Table Bloat in PostgreSQL Production Systems

PostgreSQL autovacuum tuning for production: diagnose autovacuum lag, measure table bloat, fix per-table thresholds, and prevent wraparound risk.

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PgBouncer Pool Saturation: Diagnosing Connection Bottlenecks in PostgreSQL

PgBouncer performance tuning for PostgreSQL: diagnose pool saturation with SHOW POOLS, read cl_waiting correctly, size pools, and fix bottlenecks.

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Troubleshooting Slow PostgreSQL Queries with EXPLAIN ANALYZE and pg_stat_statements

PostgreSQL slow query troubleshooting with EXPLAIN ANALYZE and pg_stat_statements: find, diagnose, and fix slow queries in production, step by step.

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MariaDB Performance Monitoring: 20 Essential Metrics Every DBA Should Track for Troubleshooting

Why MariaDB Performance Monitoring Fails Without Baselines MariaDB performance monitoring is what separates a diagnosis from a guess. Most MariaDB incidents are never actually diagnosed. When a production cluster degrades at 02:00, the on-call DBA [...]

pgvector for timeseries data anomaly detection in PostgreSQL

Using pgvector for Timeseries Data in PostgreSQL: Anomaly Detection with Vectors

pgvector for timeseries data is a technique MinervaDB uses to bring vector similarity to operational analytics inside PostgreSQL. Most engineering teams first meet pgvector as an AI tool for semantic search and embeddings, but the [...]

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MinervaDB Blog

Kafka Exactly-Once Semantics: The Ultimate 2026 Deep Dive

Troubleshooting PostgreSQL Streaming Replication Lag in Production

Resolving PostgreSQL Lock Contention: A pg_locks Deep Dive

Detecting and Fixing PostgreSQL Index Bloat with REINDEX CONCURRENTLY

PostgreSQL Wait Event Analysis: Finding Bottlenecks with pg_stat_activity

Diagnosing Autovacuum Lag and Table Bloat in PostgreSQL Production Systems

PgBouncer Pool Saturation: Diagnosing Connection Bottlenecks in PostgreSQL

Troubleshooting Slow PostgreSQL Queries with EXPLAIN ANALYZE and pg_stat_statements

MariaDB Performance Monitoring: 20 Essential Metrics Every DBA Should Track for Troubleshooting

Using pgvector for Timeseries Data in PostgreSQL: Anomaly Detection with Vectors