Why We Publish Post-Mortems for Every Incident

At 3:47pm on a Thursday, our payment webhook processing slowed to a crawl. For 23 minutes, order confirmations were delayed by up to 8 minutes. For merchants running flash sales, this created customer confusion — orders appeared to hang, some customers attempted duplicate purchases, some support queues spiked.

We fixed it at 4:10pm. Then we published a post-mortem. The full one — the timeline with specific timestamps, the root cause (a database connection pool exhaustion triggered by an upstream webhook retry storm), the contributing factors (a configuration change that had reduced pool size two days earlier), the customer impact (estimated 1,840 affected orders, 12 duplicate purchase attempts, 4 merchants with measurable support queue spikes), and the four specific remediation steps we took and why.

We didn't have to publish this level of detail. Most companies don't. We did it anyway, and we've done it for every significant incident since.

Why Most Companies Don't Do This

The instinct against publishing detailed post-mortems is understandable. Detailed incident reports give prospects ammunition — 'look, they had a payment processing outage last quarter.' They reveal internal architecture details. They require a level of honest self-assessment that's uncomfortable for engineering teams and marketing teams alike.

The status quo — a brief resolution notice, a vague promise that 'steps have been taken' — protects the company from scrutiny. It's optimized for damage control, not trust-building.

The problem is that damage control and trust-building are, over time, in direct conflict. The merchants who experienced the 23-minute delay know something went wrong. When they read 'we've resolved an issue affecting some order processing' with no further detail, they fill in the gaps with their imaginations — which are usually worse than reality. They don't know if this was a minor hiccup or a fundamental architectural flaw. They don't know if it's likely to recur. They don't know if the team understands what happened.

A detailed post-mortem answers all of these questions. And the answers — even when they reveal real failures — tend to be less frightening than the uncertainty they replace.

What a Real Post-Mortem Includes

We've developed a specific template that we use for every incident:

• Timeline: exactly when the issue began, when it was detected (by monitoring or by a customer report), when response started, when resolution was achieved
• Root cause: the specific technical cause, explained in plain language alongside the technical detail
• Contributing factors: what circumstances allowed the root cause to become an incident — configuration changes, monitoring gaps, scaling assumptions that didn't hold
• Customer impact: specific, measured — how many transactions affected, what the measurable consequence was, which customers were most impacted
• Remediation: specific changes made, with explanations of how each change addresses the root cause or contributing factor
• Preventive measures: what we're changing in our processes, monitoring, or architecture to reduce the likelihood of this class of incident in the future

The customer impact section is the hardest one to write honestly. Saying 'approximately 1,840 orders experienced delays of up to 8 minutes' is more useful than 'some customers experienced brief delays.' It's also more uncomfortable to publish. We publish it anyway.

The Internal Effect

Here's something we didn't fully anticipate: public post-mortems change how incidents are handled internally, in ways that improve the quality of the response.

When the engineering team knows that their incident response will be publicly documented, they document it more carefully in real time. The blameless post-mortem culture — where incidents are treated as system failures to be understood, not individual failures to be punished — is enforced by the public commitment to honest documentation. It's very hard to scapegoat an individual when the post-mortem format requires you to identify contributing factors, which inevitably implicates system design decisions made long before the incident.

The public commitment to post-mortems also raises the standard for monitoring and alerting. When you know you'll have to document the gap between when an incident began and when it was detected, you have strong incentive to narrow that gap through better observability.

Trust Through Accountability

We've had prospects read our post-mortem archive during their evaluation and come away more confident, not less. The reasoning: any platform will have incidents. The question is whether the team handling those incidents is competent, honest, and learns from them. A detailed post-mortem archive is direct evidence of all three.

The companies that never publish post-mortems don't have fewer incidents. They have less visible incidents — which is not the same thing as more reliable infrastructure. The post-mortem is not evidence of failure. It's evidence of a team that takes failure seriously enough to understand it completely and explain it honestly.

That's the kind of team you want running the infrastructure your business depends on.

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