Event‑driven architecture EDA has become a cornerstone of modern backend systems — powering real‑time analytics, notification pipelines, and scalable microservi...
!Cover image for Kafka Ingestion & Processing at Scale | Rajamohan Jabbalahttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,forma...
!Cover image for Building a Kafka Event-Driven Spring Boot Application with Avro, Schema Registry and PostgreSQLhttps://media2.dev.to/dynamic/image/width=1000,h...
Introduction Data engineering is often misunderstood as a discipline driven mainly by tools. New learners are frequently advised to master Airflow, Spark, Kafk...
Overview The dual‑write problem occurs when a single logical operation must update two or more independent systems—e.g., persisting data in a database and publ...
In data engineering, failures are the norm: jobs crash, networks timeout, Airflow retries tasks, Kafka replays messages, and backfills rerun months of data. In...
Many of you have been there – it’s 3 AM, your phone buzzes, and you’re staring at an alert: Kafka consumer lag exceeded threshold. You stumble to your laptop, c...
