Understanding subscribe() and assign() Methods of KafkaConsumer

Apache Kafka consumers can read messages from topics using two important methods: subscribe() and assign(). Understanding how these approaches differ…

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Kafka Idempotence Performance Analysis

Apache Kafka is designed for high-throughput, fault-tolerant, distributed messaging. In real-world systems, producers may retry sending messages due to network…

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How to Reset Consumer Offsets in Kafka

In distributed messaging systems, consumer offsets determine where a consumer resumes reading messages from a topic partition. Resetting consumer offsets…

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Exception Handling in Kafka Streams

Kafka Streams is a powerful Java library designed to process and analyze real-time data streams using Apache Kafka. Like any…

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Building Reliable Event-Driven Architectures with Kafka: Outbox Pattern, Exactly-Once Guarantees, and Idempotent Consumers

Event-driven architectures (EDA) are becoming the backbone of modern applications. By decoupling services and reacting to events rather than polling…

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Understanding Kafka Message Delivery Across Multiple Partitions

Apache Kafka is a distributed streaming platform designed to handle high throughput, real-time data pipelines, and event-driven applications. One of…

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Kafka Security with SASL/PLAIN Authentication

Kafka is a distributed streaming platform widely used for building real-time data pipelines and streaming applications. Security is a critical…

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Polyglot Event-Driven Systems: Kafka, RabbitMQ, and gRPC Across Java, Go, and Node.js

Designing Language-Agnostic Architectures with Practical Code Examples In today’s distributed systems world, building polyglot, event-driven architectures has become increasingly common.…

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Transactional Messaging with Eventuate Tram

Event-driven microservices often rely on asynchronous communication between services. However, when business logic involves modifying a database and sending an…

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