Systems, streams and analytical APIs

Data engineering without the hand-waving.

Zamh Tech publishes practical guides for teams moving operational data from PostgreSQL into reliable streams, analytical stores and real-time products.

Read the CDC guides

Start with the database contract

We explain WAL, replication slots, snapshots, ordering and deletes before choosing tools.

Design for failure

Production guidance covers lag, retained WAL, retries, duplicates, failover and reconciliation.

Serve a real decision

Architecture is useful only when fresh data reaches a dashboard, API or workflow correctly.

Data EngineeringHow Postgres CDC Works

Understand PostgreSQL change data capture through WAL, logical decoding, publications and replication slots, including setup choices and production risks.

Data EngineeringPostgres CDC to Kafka

Build a production Postgres CDC to Kafka pipeline with logical replication, Debezium or Confluent, AWS RDS configuration and a reliable analytics sink.

Data EngineeringPostgres CDC Best Practices

Production practices for PostgreSQL CDC covering failover, retries, duplicate events, WAL retention, schema changes, reconciliation and recovery testing.

Data EngineeringBest Postgres CDC Tools

Compare PostgreSQL CDC approaches including Debezium, managed connectors, AWS DMS, Airbyte and Estuary by architecture, operations and destination fit.

Data EngineeringCDC vs ETL for Postgres

Decide whether PostgreSQL changes should use CDC, scheduled ETL or direct events for warehouses, event streams and real-time analytics APIs.