Data engineering
Build data pipelines that stay understandable in production.
Should You Use Didit? A Decision Guide for Software Teams
Decide whether Didit fits your software: requirements, integration readiness, exception ownership, data handling and a bounded pilot.
Practical, source-backed guides to PostgreSQL change data capture, Kafka, real-time analytics and the failure modes that architecture diagrams leave out.
Plan row identity, WAL retention, ordering, retries and deletes before choosing a connector or destination.
Data EngineeringWhy Your Sustainability Dashboard Keeps Changing After Month-EndHandle late bills, duplicate imports and quiet corrections without losing track of the numbers you already reported.
Product AnalyticsISO 27001 Evidence for Software Teams: From Working Practice to Reviewable RecordsMake ISO 27001 evidence useful for software teams: define owners, connect decisions to records and prepare a maintainable handover.
Product AnalyticsMulti-Entity Carbon Reporting: Organize the Data Before ConsolidationOrganize multi-entity carbon reporting around clear boundaries, stable identifiers, periods and reconciliation before connecting systems.
Product Analytics7 Best Customer-Facing Analytics Platforms in 2026Compare customer-facing analytics platforms for APIs, tenant access and release workflows. Tinybird, ClickHouse Cloud and five alternatives.
Identity APIs7 Best Veriff Alternatives in 2026: Pros and ConsCompare seven Veriff alternatives in 2026, including Didit, with pricing, pros and cons, and a practical side-by-side comparison.
Data EngineeringHow Postgres CDC WorksUnderstand PostgreSQL change data capture through WAL, logical decoding, publications and replication slots, including setup choices and production risks.
Data EngineeringPostgres CDC to KafkaBuild 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 PracticesProduction practices for PostgreSQL CDC covering failover, retries, duplicate events, WAL retention, schema changes, reconciliation and recovery testing.
Data EngineeringBest Postgres CDC ToolsCompare PostgreSQL CDC approaches including Debezium, managed connectors, AWS DMS, Airbyte and Estuary by architecture, operations and destination fit.
Data EngineeringCDC vs ETL for PostgresDecide whether PostgreSQL changes should use CDC, scheduled ETL or direct events for warehouses, event streams and real-time analytics APIs.