Apache Kafka Proxy Use Cases Benefits Trade-Offs - Open Source vs Cloud
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Kafka Proxy Demystified: Use Cases, Benefits, and Trade-offs

A Kafka proxy adds centralized security and governance for Apache Kafka. Solutions like Kroxylicious, Conduktor, and Confluent enable encryption, access control, and compliance without modifying clients or brokers. This article explores key use cases, best practices, and alternatives such as API gateways and service meshes.
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The Future of AI-Ready Integration with Data Streaming powered by Apache Kafka and Flink
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How Siemens, SAP, and Confluent Shape the Future of AI Ready Integration – Highlights from the Rojo Event in Amsterdam

Many enterprises want to become AI ready but are limited by slow, batch based integration platforms that prevent real time insight and automation. The Rojo “Future of Integration” event in Amsterdam addressed this challenge by bringing together Siemens, SAP, Rojo, and Confluent to show how event driven and intelligent data architectures solve it. The discussions revealed how data streaming with Apache Kafka and Flink complements traditional integration tools, enabling continuous data flow, scalability, and the foundation for AI and automation. This blog summarizes the key learnings from the event, including my presentation “AI Ready Integration with Data Streaming,” and insights from Siemens, SAP, and Rojo on how enterprises can build truly connected, AI ready ecosystems.
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Real Time Point of Sale POS in Retail and eCommerce with Data Streaming using Kafka and Flink at SumUp Square Shopify
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Square, SumUp, Shopify: Real-Time Point-of-Sale (POS) in the Age of Data Streaming

Point-of-Sale systems are evolving into real-time, connected platforms that go far beyond payments. Mobile solutions from Square, SumUp, and Shopify give even the smallest merchants access to integrated sales channels, inventory management, and customer insights. Powered by Apache Kafka and Apache Flink, data streaming is transforming retail with instant decisions, automated actions, and the foundation for Agentic AI in the future of POS.
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How Data Streaming with Apache Kafka and Flink Powers AI and Autonomous Networks in the Telecom Industry
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How Data Streaming Powers AI and Autonomous Networks in Telecom – Insights from TM Forum Innovate Americas

AI and autonomous networks took center stage at TM Forum Innovate Americas 2025 in Dallas. Leaders from AT&T, Verizon, and other telcos showed how large-scale AI is transforming customer experience, security, and network operations, while the vision of self-optimizing networks moves closer to reality. At the heart of these advances lies data streaming: real-time, governed data flows that connect OSS/BSS, feed AI with fresh context, and enable automation at scale. This article captures the key insights from the event and explains why data streaming is becoming the central nervous system of modern telecoms.
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Telecom OSS Modernization with Data Streaming using Apache Kafka and Flink for Cloud-Native BSS and OTT Integration
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Telecom OSS Modernization with Data Streaming: From Legacy Burden to Cloud-Native Agility

OSS is critical for service delivery in telecom, yet legacy platforms have become rigid and costly. They slow innovation just as 5G, cloud native networks and OTT partnerships demand agility. This article explores how a data streaming platform with Apache Kafka and Flink helps telcos modernize OSS step by step, cut costs, accelerate time to market and turn OSS into the real time backbone for AI and event driven operations.
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Amazon MSK Forces a Kafka Cluster Migration from ZooKeeper to KRaft
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In-Place Kafka Cluster Upgrades from ZooKeeper to KRaft are Not Possible with Amazon MSK

The Apache Kafka community introduced KIP-500 to remove ZooKeeper and replace it with KRaft, a new built-in consensus layer. This was a major milestone. It simplified operations, improved scalability, and reduced complexity. Importantly, Kafka supports smooth, zero downtime migrations from ZooKeeper to KRaft, even for large, business critical clusters. But NOT with Amazon MSK…
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Connected Car Vehicle API and Data Streaming with Apache Kafka and Flink in the Automotive Industry
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Streaming the Automotive Future: Real-Time Infrastructure for Vehicle Data

Connected vehicles are transforming the automotive industry into a software-driven, data-centric ecosystem. While APIs provide access to critical vehicle data, they fall short when it comes to real-time intelligence and scalability. This post explores how data streaming with Apache Kafka and Apache Flink turns raw API responses into reusable, governed data products that support real-time operations, analytics, and innovation. Learn how industry leaders are combining APIs and event streaming to build modern automotive platforms -where real-time data becomes a strategic asset.
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Global Payment Processor Built with Data Streaming using Apache Kafka at Stripe Paypal Payoneer Worldline
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How Global Payment Processors like Stripe and PayPal Use Data Streaming to Scale

This blog post explores how leading payment processors like Stripe, PayPal, Payoneer, and Worldline are leveraging data streaming with Apache Kafka to power real-time, scalable, and secure financial systems. As the industry shifts from batch processing to event-driven architecture, data streaming has become essential for handling transactions, fraud detection, compliance, and embedded services. The post highlights why Kafka is at the core of modern payment infrastructure – and how it enables innovation, resilience, and operational agility in the evolving fintech landscape.
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The Rise of Diskless Apache Kafka with Object Storage and No Brokers
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The Rise of Diskless Kafka: Rethinking Brokers, Storage, and the Kafka Protocol

Apache Kafka has evolved from a data lake pipeline into the backbone of real-time transactional systems. The shift from broker-based storage to Tiered Storage and now to Diskless Kafka using cloud object storage redefines Kafka’s role. This blog explores the business value, technical architecture, and use cases of running Kafka without brokers, using the Kafka protocol as the foundation for scalable, cost-efficient event streaming.
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Data Streaming and AI in the Automotive Industry at OEMs like Porsche Tesla BMW
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Driving the Future: How Real-Time Data Streaming Is Powering Automotive Innovation

The automotive industry is rapidly shifting toward a software-defined, data-driven future. Real-time technologies like Apache Kafka and Apache Flink are now critical to powering connected vehicles, smart factories, autonomous platforms, and personalized mobility services. This blog explores how leading OEMs and suppliers use data streaming to drive digital transformation – from edge processing and AI to predictive maintenance and customer experience. As the industry moves toward intelligent, adaptive systems, event-driven architecture becomes a strategic foundation.
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