Anatomy of an Event Streaming Platform — Part 1

Understand the concepts, architecture, and the ecosystem of a real-time event streaming platform

Businesses today are dealing with a massive influx of real-time data. Financial transactions, application logs, website clickstreams, and IoT telemetry data are few examples. As a business, you can’t simply ignore the importance of real-time data. Even if you do, your competitors won’t. Modern businesses use them to get meaningful insights in a timely fashion to stay ahead of the competition.

Crude oil is the best analogy we can apply to real-time data as well. They have to be extracted, transported, and refined to get a meaningful value. The question is, how do we put together a proper system architecture to harness the power of real-time data?

Event stream platforms play a central role in ingesting, storing, and processing real-time data in a scalable and resilient manner. Before using them, one must first understand the architecture and ecosystem of a typical event streaming platform. In this article series, we’ll take a deep dive into the architecture of a modern-day event stream platform and how you can leverage it to your competitive advantage.

Before jumping into the architecture straight, this article sets the stage by introducing you to the concept of an Event Streaming Platform, its potential use cases, and some implementations that exist in the market.

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