This article outlines how Honeycomb’s observability platform handles massive, distributed systems by shortening time-to-understanding, reducing alert fatigue with SLOs, and consolidating legacy tools. A Forrester TEI study reports a 296% ROI over three years, $2.68 M in incident-related savings, and a break-even point under six months.

This course covers core concepts of concurrency control—threads, locks, transactions, and crash recovery—in the first half, then shifts to distributed systems topics like network models, clocks, replication, consensus, and fault tolerance. It lists lecture topics, objectives, prerequisites, and recommended readings for a Part IB CST Michaelmas module led by Dr. Martin Kleppmann.

Martin Kleppmann discusses his journey from startups to academia, and the new edition of his book Designing Data-Intensive Applications. They cover trade-offs in modern infrastructure, cloud scalability, distributed system challenges, and emerging topics like formal verification and local-first software.

In this Pragmatic Engineer episode, Martin Kleppmann walks through updates in the second edition of Designing Data-Intensive Applications and shares how his LinkedIn experience shaped the book’s core concepts. He breaks down trade-offs in multi-region and cloud architectures, explains why replication still matters more than sharding, and predicts a rise in formal verification and local-first software.