
Why PostgreSQL?
A series on choosing PostgreSQL with numbers, case studies, and operational realities.
Intermediate
PostgreSQL
From beginners to teams evaluating production adoption
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A series on choosing PostgreSQL with numbers, case studies, and operational realities.
Intermediate
PostgreSQL
From beginners to teams evaluating production adoption
Open series hub →A practical series on choosing a backend database through design philosophy and real-world trade-offs.
Beginner
PostgreSQL
Backend developers who need a clearer decision frame for PostgreSQL and MongoDB
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A practical series to understand MongoDB transactions and consistency in depth.
Advanced
MongoDB
Engineers designing or operating MongoDB workloads
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A practical MongoDB backup and recovery series, from RTO/RPO and logical backups to snapshots and cloud PITR.
Intermediate
MongoDB
Developers and database operators who want to systematize MongoDB backup and restore operations
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Seven parts on the modern data engineer's core skills — architecture, pipelines, governance, cloud, and AI-native.
Beginner
DataEngineering
Data practitioners starting out or looking to systematically audit and upgrade their current stack
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Separate Data Architect (DA), database administration, and engineering (DBE) responsibilities as they appear in job posts and org charts.
Beginner
DataEngineering
Readers mapping titles to day-to-day responsibilities
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Understand SaaS, IaaS, PaaS, and DBaaS through management responsibility boundaries, with the 2026 market landscape and AI trends.
Beginner
DataEngineering
Developers and product people learning or clarifying cloud service model choices
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Six parts on PostgreSQL backup strategy — from pg_dump, pg_basebackup, and WAL archiving through PITR, enterprise tool comparisons, and recovery drills.
Intermediate
PostgreSQL
Backend developers, DBAs, and DevOps engineers who want a systematic understanding of PostgreSQL backup and recovery for production use
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Four parts on MongoDB's evolution from NoSQL underdog to enterprise standard — covering technology, industry adoption, and AI-era strategy.
Intermediate
MongoDB
Developers and architects evaluating MongoDB or exploring real-world enterprise use cases
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Five parts on mastering MongoDB Atlas — from Control Plane architecture and three-tier hierarchy to competitor comparisons and 2025–2026 changes.
Beginner
MongoDB
Developers and DBAs moving from self-managed MongoDB to Atlas or exploring Atlas for the first time
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Four parts comparing PostgreSQL and MongoDB transaction models — from ACID fundamentals and isolation levels to MVCC and multi-document transactions.
Beginner
PostgreSQL
Developers who want a solid understanding of ACID and how PostgreSQL and MongoDB handle transactions differently
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From single-DC Patroni limitations to multi-region HA architecture design. Six parts covering RPO/RTO/RTT trade-offs, synchronous 3-DC replication, async Standby Cluster, and DCS placement strategy.
Advanced
PostgreSQL
DBAs, backend engineers, and DevOps engineers designing or operating PostgreSQL high-availability architectures
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Three parts on PostgreSQL VACUUM operations — from MVCC and Dead Tuples through Autovacuum tuning, XID Wraparound handling, and production Bloat removal.
Advanced
PostgreSQL
Backend developers, DBAs, and DevOps engineers who want a systematic understanding of PostgreSQL VACUUM for production use
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