A specialist track for event-driven architecture, messaging trade-offs, stream processing, and operational reliability in distributed systems.

A structured roadmap for mastering event-driven architecture. Covers when to use messaging over REST, how Kafka, RabbitMQ, and SQS differ architecturally, and the learning path from producer/consumer basics to production-grade exactly-once processing.

Messaging & Event-Driven Mastery

Messaging & Event-Driven Mastery: Roadmap and Learning Path

Don't let a poison pill block your Kafka partition. Learn how to design a non-blocking retry architecture with exponential backoff and jitter.

Retry Queues vs. DLQ: Architecting Resilient Message Consumers

How does Kafka hit 1M+ messages per second? A technical deep dive into Log-Structured Storage, Zero-Copy optimization, and the OS Page Cache.

Kafka Internals: The Storage Layer, Zero-Copy, and High Throughput

Identify and fix uneven partition distribution. How to handle hotspots when using Keyed-Producers.

Kafka Partition Skew Management

0. Roadmap

Master Kafka consumer group rebalances. Learn about Cooperative Sticky Partitioning, heartbeat configuration, and how to avoid the stop-the-world effect.

Kafka Consumer Rebalancing: The Senior Engineer's Playbook

Why does your Kafka throughput drop to zero during a rebalance? Learn about Eager vs. Cooperative Sticky partitioning and how to stabilize your consumer groups.

Kafka Rebalance Storms: Solving the 'Stop-the-World' Problem

What Kafka's exactly-once guarantee actually covers, where duplicates still happen in practice, and how to design genuinely idempotent consumers with Spring Kafka. Real production mistakes and their fixes.

Kafka Exactly-Once Semantics: Myth vs Production Reality

1. Event Streaming

Learn how to avoid RabbitMQ production issues like consumer starvation, unacknowledged message leakage, and the thundering herd problem.

RabbitMQ Pitfalls: Managing Unacked Messages and Thundering Herds

2. Message Queues

How to keep your search index perfectly in sync with your source database. A technical guide to Change Data Capture (CDC) using Debezium and Kafka.

The CDC Playbook: Real-time Syncing between PostgreSQL and Elasticsearch

A deep architectural guide to building production-grade Event Sourcing and CQRS platforms. Explore event store DDL schema design, snapshotting policies, schema upcasting chains, zero-downtime projection rebuilds, and optimistic locking mechanics.

Event Sourcing and CQRS in Production: Beyond the Theory

Reliable event publishing. Learn how to bridge your database and Kafka using the Outbox pattern and Debezium CDC.

Distributed Transactions Part 4: The Transactional Outbox

3. Patterns & Production

A deep dive into how Kafka achieves its massive throughput. Learn about zero-copy optimization, sequential I/O, and the log-structured storage model.

Kafka Internals: Zero-Copy, Log Storage, and High Throughput

Explore the internal architecture of RabbitMQ. Learn about the AMQP protocol, exchange types, Erlang's concurrency model, and how flow control works under the hood.

RabbitMQ Internals: A Deep Dive into High-Performance Messaging

Discover RabbitMQ Quorum Queues. Learn how the Raft consensus algorithm provides superior data safety and availability compared to classic mirrored queues.

RabbitMQ Quorum Queues: Modern High Availability with Raft

A practical Kafka consumer lag playbook covering partition skew, slow processing, rebalances, max.poll settings, poison messages, autoscaling, metrics, and safe recovery strategies.

Kafka Consumer Lag: Causes, Diagnosis, and Production Fixes

Production Kafka Streams: KStream vs KTable semantics, stateful transformations with RocksDB state stores, windowed aggregations, stream-table joins, topology design, changelog topics, and the operational patterns for running Kafka Streams in production.

Kafka Streams: Real-Time Stream Processing Without a Separate Cluster

A senior engineer's guide to selecting between Amazon SQS, Apache Kafka on AWS, and EventBridge. Throughput benchmarks, cost breakdowns, ordering guarantees, and real production trade-offs.

SQS vs Kafka vs EventBridge: Choosing the Right Messaging System on AWS

Understand how Apache Kafka achieves high throughput through log-based storage, how offsets enable reliable consumption, and how consumer groups scale processing horizontally.

Kafka Internals Deep Dive: Partitions, Offsets, and Consumer Groups

Event Streaming

CDC lets you stream every database change as an event. Learn how Debezium captures PostgreSQL WAL logs, publishes to Kafka, and powers cache invalidation, search indexing, and microservice sync.

Kafka Production Playbook

Change Data Capture with Debezium: Real-Time Data Synchronization Patterns

Exactly-once is a lie. Learn the Two Generals' Problem and how systems like Kafka achieve 'Effectively' Exactly-Once.