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Discover articles about Apache Kafka, Event Streaming, Real Time Data Processing, Apache Kafka Use Cases, and Strimzi for Kafka that inform, inspire, and give you the latest insights.

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Latest Apache Kafka Blogs

Kafka Consumer Groups and Offsets: What You Need to Know

Consumer group offsets are essential components in Apache Kafka, a leading platform for handling real-time event streaming. By allowing organizations to scale efficiently, manage data consumption, and track progress in data processing, Kafka’s consumer groups and offsets ensure reliability and performance. In this blog post, we'll dive deep into these concepts, explain how consumer groups and offsets work, and answer key questions about their functionality. We'll also explore several practical use cases that show how Kafka’s consumer groups and offsets drive real business value, from real-time analytics to machine learning pipelines.

Apache Kafka
Starting Small with Kafka: Why It’s the Right Choice for Your Enterprise

Apache Kafka is a powerful event-streaming platform, but does your enterprise need to go all in from day one? In this blog, we explore why starting small with Kafka is the best strategy. Learn how an incremental approach can help you reduce complexity, and scale efficiently as your needs grow. Whether you're new to Kafka or looking for a practical implementation strategy, this guide will set you on the right path.

Apache Kafka for Business
Kafka Consumer Configuration: Optimize Performance with Key Settings & Use Cases

Kafka Consumer Configuration is at the heart of building efficient, scalable, and reliable data streaming applications. Whether you’re working with event-driven architectures, batch data ingestion, or real-time stream processing, the right configurations can make all the difference. In this guide, we’ll explore the most important Kafka consumer settings, break down their impact, and showcase practical use cases to help you optimize performance. By the end, you’ll have a clear roadmap to fine-tune your Kafka consumers for maximum efficiency.

Apache Kafka

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Joey Compeer
December 5, 2024
From Kafka vendor lock-in to open-source: less costs, more flexibility, and independence
From Kafka vendor lock-in to open-source: less costs, more flexibility, and independence

Kafka vendor lock-in can limit your organization's flexibility, control, and cost efficiency. As companies increasingly turn to open-source Kafka, they unlock the potential for greater independence and adaptability. In this blog, we explore how migrating to open-source Kafka offers reduced costs, increased flexibility, and freedom from vendor restrictions.

Apache Kafka for Business
Richard Bosch
November 29, 2024
Deep Dive into Kafka Connect Clusters: Structure, Scaling, and Task Management
Deep Dive into Kafka Connect Clusters: Structure, Scaling, and Task Management

This blog dives deep into Kafka Connect clusters, unraveling their structure, scaling strategies, and task management processes. Whether you're designing a high-availability system, troubleshooting task distribution, or scaling your pipeline for performance, this article provides a comprehensive look at how Kafka Connect clusters operate.

Apache Kafka Use Cases
Daniel Mulder
November 28, 2024
Introduction Zookeeper to KRaft
Introduction Zookeeper to KRaft

For years, Zookeeper has been integral to Kafka deployments as a reliable metadata management system. However, with its limitations and Kafka’s evolution through KIP-500, the shift to KRaft—a self-managed metadata quorum—marks a new era. This transition is critical as Zookeeper’s deprecation accelerates, with its removal planned in Kafka 4.0. Adapting now ensures your Kafka clusters remain future-ready and efficient.

Apache Kafka
Rachel van Egmond
November 19, 2024
Optimizing Healthcare Integration with Kafka at NHN | Use case
Optimizing Healthcare Integration with Kafka at NHN | Use case

Norsk Helsenett (NHN) is revolutionizing Norway's fragmented healthcare landscape with a scalable Kafka ecosystem. Bridging 17,000 organizations ensures secure, efficient communication across hospitals, municipalities, and care providers.

Apache Kafka Use Cases
Richard Bosch
November 12, 2024
Understanding Kafka Connect
Understanding Kafka Connect

Apache Kafka has become a central component of modern data architectures, enabling real-time data streaming and integration across distributed systems. Within Kafka’s ecosystem, Kafka Connect plays a crucial role as a powerful framework designed for seamlessly moving data between Kafka and external systems. Kafka Connect provides a standardized, scalable approach to data integration, removing the need for complex custom scripts or applications. For architects, product owners, and senior engineers, Kafka Connect is essential to understand because it simplifies data pipelines and supports low-latency, fault-tolerant data flow across platforms. But what exactly is Kafka Connect, and how can it benefit your architecture?

Apache Kafka
Richard Bosch
November 1, 2024
Kafka Topics and Partitions - The building blocks of Real Time Data Streaming
Kafka Topics and Partitions - The building blocks of Real Time Data Streaming

Apache Kafka is a powerful platform for handling real-time data streaming, often used in systems that follow the Publish-Subscribe (Pub-Sub) model. In Pub-Sub, producers send messages (data) that consumers receive, enabling asynchronous communication between services. Kafka’s Pub-Sub model is designed for high throughput, reliability, and scalability, making it a preferred choice for applications needing to process massive volumes of data efficiently. Central to this functionality are topics and partitions—essential elements that organize and distribute messages across Kafka. But what exactly are topics and partitions, and why are they so important?

Event Streaming
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