🗄️

Базы данных — Кейсы

Глубокое погружение в проблемы производительности PostgreSQL, MySQL, MongoDB и Redis. Реальные инциденты с оптимизацией запросов, исчерпанием пула соединений, анализом индексов и репликацией.

2 Junior3 Middle1 Senior
NEW
middle⏱ 25 min

PostgreSQL Connection Pool Exhaustion

Response time degraded from 150ms to 8000ms. Error rate jumped to 22%.

PostgreSQLHikariCPJava
SOON
junior⏱ 20 min

Missing Index on High-Traffic Table

Simple SELECT query taking 12 seconds instead of 50ms after data growth.

PostgreSQLEXPLAINIndexes
SOON
senior⏱ 40 min

Transaction Deadlock Under High Concurrency

Sporadic 500 errors during peak load. Deadlock detected in pg_locks.

PostgreSQLTransactionsLocksMVCC
SOON
middle⏱ 30 min

Streaming Replication Lag Causing Stale Reads

Read replica 45 seconds behind primary. Stale data served to users.

PostgreSQLReplicationWALRead Replicas
SOON
middle⏱ 22 min

Redis Memory Eviction Killing Cache Hit Rate

Cache hit rate dropped from 94% to 31% overnight. DB hammered.

RedisCacheEviction PolicyMemory
SOON
junior⏱ 18 min

MongoDB Full Collection Scan at Scale

Aggregation pipeline taking 40 seconds on a 10M document collection.

MongoDBIndexesexplain()Aggregation