Month: January 2025

CAP Theorem Insights for Apache Kafka and Flink

In this article, I’ll explore CAP Theorem and its implications on distributed systems, particularly focusing on Apache Kafka, Apache Flink, and Apache Cassandra. I’ll then dissect how CAP influences these systems in real-world scenarios, delve into some of the edge cases like split-brain scenarios, and offer actionable strategies to mitigate challenges. Finally, a wrap up with deployment strategies for self-hosted environments and discuss how Confluent Cloud tackles CAP-related challenges.

What is the CAP Theorem?

The CAP Theorem, introduced by Eric Brewer, states that in a distributed data system, you can only guarantee two out of the following three properties:

  • Consistency (C): Every read receives the most recent write or an error.
  • Availability (A): Every request receives a response, even if it’s not the most recent write.
  • Partition Tolerance (P): The system continues to function despite network partitions.

This means that distributed systems inherently make trade-offs, and understanding these trade-offs is key to designing robust architectures.

CAP Theorem and Apache Kafka/Flink

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What is the SITREP on Apache Kafka & Flink?

I’ve worked with (** references at end of article) a number of Apache projects over the years, often pretty closely; Apache Cassandra, Apache Flink, Apache Kafka, Apache Zookeeper and numerous others. But the last few years I’ve not been immediately hands on with the technology. A few questions popped up recently, that fortunately I was able to answer based on existing knowledge, but it made me real curious about what the SITREP (Situational Report) is for the Apache Kafka and Flink Projects for TODAY, i.e. rolling into 2025! The following is a quick dive into the history and then the latest details (and drama?) with Apache Kafka, Flink, and tangentially some other projects (Zookeeper?).

Apache Projects – Context & Quick Details

If you’re unfamiliar with the Apache Projects in a general sense, I highly suggest going and checking out the Apache Project Directory and Apache Projects List. There you will find all sorts of fascinating information about the organization itself, how the projects are organized, and the trend of committees and related details. For example, I always love checking out the initial charts on retired and active that show on the directory page, as I’ve snapshotted below.

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Keeping it Lean: Building the Bare Essentials for Project Management

When you’re running a project that needs to stay lean — and I mean lean like taking a cargo bike to grab groceries instead of a 2+ ton automobile that’s slower, more cumbersome, and way overkill for the job — the tools you choose and the processes you define matter as much as the work itself. It’s easy to go overboard, drowning in Gantt charts, sprint boards, and daily standups that spiral into mini-retrospectives. But what if the goal is simplicity, agility, and clarity?

Let’s break it down.

1. Define Your Central Hub

The first thing you need is a single source of truth. This doesn’t mean a bloated Jira instance with workflows for every imaginable scenario. For a lean project, a simple Kanban-style board can do wonders. Tools like Trello or GitHub Projects (especially if you’re already using GitHub for version control) offer clean, intuitive interfaces that keep everything in one place.

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