Synchronous Multi-Region Replication with Apache Kafka Confluent WarpStream for Zero Data Loss Disaster Recovery
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Multi-Region Kafka using Synchronous Replication for Disaster Recovery with Zero Data Loss (RPO=0)

Apache Kafka is the backbone of real-time data streaming. Choosing the right deployment model – self-managed, fully managed, or bring-your-own-cloud (BYOC) – is a strategic decision. It affects performance, compliance, and cost. This article explains the most common Kafka deployment strategies and highlights the innovation of synchronous multi-region replication to achieve zero data loss (RPO=0). Alternatives like stretched Kafka clusters, Confluent Multi-Region Clusters (MRC), and WarpStream offer different paths to RPO=0. They support critical workloads with strong durability and high availability. For mission critical and regulated use cases, zero data loss is no longer a future goal. It is now achievable with the right architecture.
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Open RAN and Data Streaming with Apache Kafka and Flink in Telecom Industry for Network Analytics and Observability
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Open RAN and Data Streaming: How the Telecom Industry Modernizes Network Infrastructure with Apache Kafka and Flink

Open RAN is transforming telecom by decoupling hardware and software to unlock flexibility, innovation, and cost savings. But to fully realize its potential, telcos need real-time data streaming for observability, automation, and AI. This post shows how Apache Kafka, Apache Flink, and a diskless data streaming platform like Confluent WarpStream help telco operators scale RAN data processing securely and cost-effectively.
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The Data Streaming Landscape 2025 with Kafka Flink Confluent Amazon MSK Cloudera Event Hubs and Other Platforms
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The Data Streaming Landscape 2025

Data streaming is a new software category. It has grown from niche adoption to becoming a fundamental part of modern data architecture, leveraging open source technologies like Apache Kafka and Flink. With real-time data processing transforming industries, the ecosystem of tools, platforms, and cloud services has evolved significantly. This blog post explores the data streaming landscape of 2025, analyzing key players, trends, and market dynamics shaping this space.
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