Expert insights on database management, performance optimization, and reliability engineering from industry professionals
Showing 12 of 387 articles
Understand MySQL query execution from parser to storage. Learn optimizer internals, execution plans, buffer management, and physical storage organization.
Use Apache Flink CDC to capture MySQL and PostgreSQL changes — stateful processing, exactly-once semantics, and Kubernetes deployment
PostgreSQL 17 finally adds native incremental backup support — allowing subsequent backups to capture only changed blocks since the last full backup.
pgvector brings vector similarity search to PostgreSQL — enabling semantic search, recommendation engines, and RAG pipelines without a separate vector database.
Downgrading MongoDB requires careful planning — setting the Feature Compatibility Version before replacing binaries, handling replica set members in sequence, and verifying data integrity throughout.
MongoDB's indexing system supports single-field, compound, multikey, text, geospatial, and partial indexes. Choosing the right index type and key order determines whether your queries use microseconds or seconds.
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.
Compare vector database options for AI workloads — pgvector in PostgreSQL, Pinecone, Weaviate, and Qdrant
MongoDB's mongosync utility enables continuous, real-time synchronization between two MongoDB clusters — simplifying live migrations, multi-cloud replication, and DR setups.
MySQL transmits data in plaintext by default, exposing passwords and query results to network interception. Here's how to configure SSL/TLS for MySQL — from certificate generation to enforcing encrypted connections.
A detailed comparison of PgBouncer, Odyssey, and pgcat for PostgreSQL connection pooling — architecture differences, threading models, pool modes, TLS support, and decision criteria for each workload type.
Compare Elasticsearch, Typesense, and Meilisearch — relevance, speed, operational complexity, and when to use each
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