Browsing Tag

kafka

219 posts
Social Commerce in Retail with Data Streaming using Apache Kafka Flink and Agentic AI
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  • 9 minute read

Data Streaming in Retail: Social Commerce from Influencers to Inventory

Social commerce is reshaping retail by merging entertainment, influencer marketing, and instant purchasing into one real-time experience. Platforms like TikTok and Instagram have become active digital storefronts where discovery and transactions happen at once. This article explains how data streaming with Apache Kafka and Flink enables retailers to power social commerce through continuous data flow, real-time inventory updates, and personalized engagement. It shows how streaming unifies marketing, operations, and AI-driven decision-making while helping retailers compete with new AI platforms such as OpenAI that are redefining digital shopping.
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Stablecoins and Data Streaming with Kafka and Flink for Digital Money and Currency USDC USDT Blockchain
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  • 10 minute read

How Stablecoins Use Blockchain and Data Streaming to Power Digital Money

Stablecoins are reshaping digital money by linking traditional finance with blockchain technology. Built for stability and speed, they enable real time payments, settlements, and programmable financial services. To operate reliably at scale, stablecoin systems require continuous data movement and analysis across ledgers, compliance tools, and banking platforms. A Data Streaming Platform using technologies like Apache Kafka and Apache Flink can provide this foundation by ensuring transactions, reserves, and risk signals are processed instantly and consistently. Together, blockchain, data streaming, and AI pave the way for a new financial infrastructure that runs on live, contextual data.
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Scaling Apache Kafka Consumers for High Throughput with Proxy or Client Library for API and Database Integration
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  • 8 minute read

Scaling Kafka Consumers: Proxy vs. Client Library for High-Throughput Architectures

Apache Kafka’s pull-based model and decoupled architecture offer unmatched flexibility for event-driven systems. But as data volumes and consumer applications grow, new challenges emerge; from head-of-line blocking and rising operational overhead to complex failure handling. This post explores real-world lessons from companies like Wix and Uber, highlighting common consumer scalability issues and two main solutions: push-based consumer proxies and enhanced client libraries like Confluent’s Parallel Consumer. It concludes with a vision for a serverless Kafka consumption model that reduces total cost of ownership while preserving Kafka’s core strengths.
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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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  • 6 minute read

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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  • 8 minute read

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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  • 7 minute read

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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  • 4 minute read

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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  • 7 minute read

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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  • 10 minute read

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 Future of Data Streaming with Apache Flink for Agentic AI Supporting A2A and MCP
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  • 8 minute read

The Future of Data Streaming with Apache Flink for Agentic AI

Agentic AI is moving into production. Autonomous, tool-using, goal-driven systems that need real-time data and context. Apache Kafka and Flink provide the event-driven foundation to run these agents at scale. With the new Flink Agents project (FLIP-531), Flink will natively support long-running, system-triggered AI agents integrated with LLMs, tools, and emerging protocols like MCP and A2A. This marks a major step toward reliable, enterprise-grade Agentic AI.
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