A production-grade MySQL backup guide analyzing a 3 AM replica crash, covering RPO/RTO design, logical vs physical backup trade-offs, XtraBackup streaming, PITR with binlog, automated restore drills, and a 3-2-1-1-0 resilience architecture.
This comprehensive guide walks through PostgreSQL's backup and replication architecture, explaining WAL fundamentals, the distinction between backup, high‑availability, disaster‑recovery and CDC, and provides step‑by‑step configurations, performance trade‑offs, monitoring queries, Kubernetes deployment tips, and practical recovery‑drill procedures for production environments.
This article provides a comprehensive MySQL data‑loss recovery guide, covering logical and physical backup methods, their advantages and drawbacks, detailed command‑line examples, XtraBackup installation, full and incremental backups, compression and streaming, and point‑in‑time recovery using binary logs, along with core backup best‑practice principles.
This comprehensive guide explains PostgreSQL backup and recovery techniques—including logical and physical backups, point‑in‑time recovery, automation scripts, security measures, and production‑grade best practices—to ensure data availability, integrity, and compliance.
The article details how DaVinci Resolve’s project library, built on PostgreSQL, evolved from a monolithic server to a Docker‑based setup and finally to a Pigsty‑powered high‑availability cluster, covering challenges, point‑in‑time recovery, permission management, a real‑world outage, and the resulting reliability gains.
This guide walks through setting up PostgreSQL's Point‑In‑Time Recovery (PITR) by enabling WAL archiving, performing a base backup, simulating data loss, and restoring the database to a specific timestamp, complete with command‑line examples and verification steps.
This article demonstrates a step‑by‑step point‑in‑time recovery of a MongoDB sharded cluster by restoring shard instances, replaying oplog entries to a specific timestamp, updating metadata, and finally rebuilding the config server and mongos to achieve a consistent snapshot with max(id)=15.
