Expert insights on database management, performance optimization, and reliability engineering from industry professionals
PostgreSQL 17 is one of the most impactful releases in years. Incremental backups, vacuum improvements, logical replication failover slots, and planner enhancements are all production-critical changes.
MySQL 8.4 LTS removes variables, enforces new replication defaults, and ships changed InnoDB settings that can silently break 8.0 configurations. This production checklist covers every item to verify before upgrading.
TiDB uses Raft consensus protocol through TiKV to replicate every region across three or more nodes. Here's how leader election, log replication, and region management work in practice.
Use Apache Flink CDC to capture MySQL and PostgreSQL changes — stateful processing, exactly-once semantics, and Kubernetes deployment
MySQL offers multiple replication topologies — traditional async replication, semi-sync, Group Replication, and InnoDB Cluster. Understanding the trade-offs determines whether your failover takes seconds or minutes.
MongoDB's mongosync utility enables continuous, real-time synchronization between two MongoDB clusters — simplifying live migrations, multi-cloud replication, and DR setups.
A practical guide to choosing between read replicas and caching layers — replication lag behavior, cache invalidation strategies, thundering herd prevention, tiered read architecture patterns, and decision framework.
Go beyond basics with Debezium — handle schema evolution, manage connector offsets, and build resilient CDC pipelines
A production guide to AWS Database Migration Service — replication instance sizing, endpoint configuration, Full Load vs CDC vs Full Load+CDC modes, performance tuning, and DMS vs Debezium vs pglogical.
Debezium reads MySQL binary logs and PostgreSQL WAL to stream every row-level change as a Kafka event in near real-time — replacing nightly batch ETL with sub-second data propagation.
Stream PostgreSQL changes to Kafka using pgoutput and Debezium — setup, monitoring, and lag management
Patroni automates PostgreSQL failover using a distributed consensus store like etcd. Learn how to configure Patroni for production-grade HA.
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