Data Streaming

Apache Kafka is an open-source distributed event streaming platform that underpins many of today’s real-time data pipelines. As organizations scale their Kafka deployments to support mission-critical use cases, effective Kafka monitoring becomes essential. Monitoring Kafka clusters ensures system reliability, minimizes downtime, and keeps Kafka performance aligned with SLAs. In this guide, we explore the top…

Why use a Managed Apache Kafka service? Apache Kafka is an open-source distributed streaming platform that powers real-time data pipelines and event-driven applications. But while Kafka’s capabilities are impressive, managing Kafka clusters from provisioning to scaling, monitoring, and ensuring high availability can quickly become a burden. This is where managed Apache Kafka services come in. These providers…

Apache Kafka vs Redpanda. What’s the real difference? Apache Kafka® is the foundational streaming platform powering real-time data pipelines at companies like LinkedIn, Netflix, and Uber. Redpanda, a newer entrant, promises a Kafka-compatible, high-performance alternative, claiming superior latency, simplicity, and cost efficiency. But is Redpanda a drop-in replacement for large Kafka clusters? Can Redpanda Cloud…

Kafka pricing in the cloud era Apache Kafka is an open-source streaming platform used to build real-time data pipelines and stream processing applications. While powerful, running and scaling Apache Kafka clusters can be operationally complex and cost-intensive. That’s why many organizations opt for Kafka as a Service via managed Kafka offerings from cloud providers like…

In today’s data-driven world, event streaming is foundational to everything from financial transactions and e-commerce to IoT and real-time analytics. Apache Kafka has long been the de facto standard for event streaming. But it’s not the only option. If you’re building high-throughput systems or navigating architectural trade-offs, understanding Kafka alternatives is crucial. In this post,…

Choosing the right Kafka provider in the age of AI As enterprises modernize their data infrastructure, the mission-critical nature of data streaming has elevated Apache Kafka® to the backbone of real-time analytics, event streaming, and AI-driven use cases. The question for CIOs and architects in 2025 is not whether to use Kafka, but which Kafka…

Choosing between Apache Kafka and RabbitMQ is a high-stakes architectural decision for teams building real-time, event-driven systems. While both are messaging platforms, their core design philosophies differ greatly—Kafka is optimized for high-throughput event streaming and persistent logs, while RabbitMQ focuses on flexible routing, guaranteed delivery, and traditional message queuing. This guide compares Kafka and RabbitMQ…