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Database Engineering

PostgreSQL, SQL Server, NoSQL design, query optimization, migration strategies, and high-availability patterns.

15 guides
01

How to Tune SQL Server Performance: Indexes, Query Plans, and Wait Stats

Diagnose and fix SQL Server performance issues. Covers index analysis, execution plan reading, wait statistics, parameter sniffing, and tempdb optimization.

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02

PostgreSQL Performance Tuning: From Slow to Sub-Second

Optimize PostgreSQL for production workloads. Covers EXPLAIN ANALYZE, indexing strategies, configuration tuning, connection pooling, and vacuum management.

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03

How to Manage Database Schema Migrations Safely

Deploy database changes without downtime. Covers blue-green migrations, backward compatibility, rollback strategies, and migration testing.

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04

MongoDB vs PostgreSQL: When to Choose What

A practical decision framework for choosing between MongoDB and PostgreSQL. Covers data modeling, scalability, ACID guarantees, query patterns, and real-world selection criteria.

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05

Database Indexing Strategies for High-Traffic Applications

Master database indexing beyond the basics. Covers B-tree, hash, GIN, GiST, partial indexes, covering indexes, and composite index design for production workloads.

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06

Redis Caching Patterns for Enterprise Applications

Production-ready Redis caching strategies. Covers cache-aside, write-through, read-through, cache invalidation, TTL management, and distributed locking patterns.

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07

Database Sharding: When, Why, and How

A comprehensive guide to horizontal database sharding. Covers sharding keys, strategies (hash, range, geo), cross-shard queries, rebalancing, and when NOT to shard.

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08

Graph Databases: Neo4j Use Cases & Architecture

When and how to use graph databases in enterprise applications. Covers Neo4j fundamentals, Cypher queries, data modeling, performance tuning, and real-world use cases from fraud detection to recommendation engines.

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09

PostgreSQL Performance Engineering

Optimize PostgreSQL for production. Covers query optimization, indexing strategies, EXPLAIN ANALYZE, connection pooling, partitioning, vacuum tuning, and monitoring for high-traffic applications.

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10

Distributed Database Architecture

Design distributed database systems. Covers CAP theorem, consensus protocols, sharding strategies, replication topologies, conflict resolution, and choosing between consistency and availability.

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11

Database Migration Strategies

Execute zero-downtime database migrations. Covers schema evolution, expand-contract pattern, online DDL, data migration, rollback strategies, and migration testing.

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12

Database Indexing Deep Dive

Master database indexing. Covers B-tree internals, composite index strategy, covering indexes, partial indexes, index maintenance, and common indexing mistakes that destroy performance.

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13

Database Backup & Recovery Engineering

Design database backup strategies. Covers backup types, point-in-time recovery, RPO/RTO, WAL archiving, cross-region replication, backup testing, and disaster recovery for databases.

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14

NoSQL Database Selection Guide

Choose the right NoSQL database. Covers document stores, key-value, wide-column, graph databases, time-series databases, and when to use NoSQL vs relational.

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15

Database Connection Pooling

Optimize database connections. Covers connection pool architecture, PgBouncer, HikariCP, pool sizing formulas, connection leak detection, and serverless connection challenges.

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