Event Foo: A Series of Unfortunate/Incredible Events

2 Min. Read

Good technical intuition is one of the things that defines a good senior engineer. And unpacking that intuition is the most valuable teaching tool. By making your implicit assumptions and experiences explicit, others can learn from them.

Lately I’ve been having a lot of conversations with people about debugging with events, or structured log data, with a dawning realization that this is not a universal experience. What I thought was as normal as code reviews is an intuition fed by some highly specific experiences.

Events seem ordinary and intuitive to many engineers—that’s how our brain works, after all—but not all of us. Furthermore, many engineers in the ops space have spent years or decades learning, intentionally and painstakingly, to retrain their brains to think in terms of metrics and aggregates. Which does not come as naturally, but is no less sticky once learned.

What makes an event useful or good? What makes it not-useful, or even deceptive? Instead of assuming full knowledge, let’s assume none and start from scratch.

We have invited some of our favorite people to start at the beginning and unpack their experience and understanding of how to debug with structured log events. Enjoy.

Part 1: you’re reading it 🙂

Part 2: Build Observable Systems by Sam Stokes

Part 3: Constructing a Coherent Narrative by Colin Curtin

Part 4: Designing for Results by Matt Klein

Part 5: Moar Context Better Events by Mark McBride

Part 6: Thou Shalt Not Aggregate at Source by Alex Rasmussen

Part 7: Building Better Events by Rachel Perkins

Part 8: What Should I Add to an Event? by Ben Hartshorne

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Charity Majors

Charity Majors

CTO

Charity Majors is the co-founder and CTO of honeycomb.io. She pioneered the concept of modern Observability, drawing on her years of experience building and managing massive distributed systems at Parse (acquired by Facebook), Facebook, and Linden Lab building Second Life. She is the co-author of Observability Engineering and Database Reliability Engineering (O’Reilly). She loves free speech, free software and single malt scotch.

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