Latest / The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure / Inside the Banality of Cloud Outage Postmortems
Transcript
- Lucas: So, Luna, I was reading the postmortem from that big regional outage last month, the one that took down half the internet for an afternoon, and I kept thinking, this is a masterpiece of saying nothing. Luna: You mean the one where they kept saying 'network configuration change'? I saw that. It was like reading a horoscope, vague enough to be true. Lucas: Exactly. And that got me thinking about the whole genre of the cloud postmortem. It's supposed to be the ultimate act of transparency, the industry's way of saying, 'we messed up, here's what happened, here's what we're doing about it.' But in practice, it's become this incredibly polished, lawyer-approved document that often obscures more than it reveals. Luna: Right, and for a business audience, that's a problem. If you're a CIO or a founder betting your company on this infrastructure, you need to know how much risk you're actually carrying. And the postmortem is one of your only windows into that. Lucas: So today, let's drill into the anatomy of a cloud postmortem. We'll look at why they’re written the way they are, what's typically left out, and maybe more importantly, how you can read between the lines to get the real story out of them. Luna: And maybe even what you should demand from your provider when the next one drops. Lucas: Alright. So let's start with the structure. Most major postmortems follow a similar arc. You've got the timeline, which is usually down to the second, and that part is often genuinely useful. Lucas: You see the duration, the impact metrics, the detection time, the mitigation time. That's the data. But then you get to the 'root cause' section, and that's where the fog rolls in. Luna: Yeah, the root cause. It's always something like 'a misconfigured internal service' or 'an unexpected interaction between components.' It's technically true, but it's so high-level it's almost meaningless. Lucas: Right. And it's not just the cloud giants. You see this across the industry. The root cause is described in this very narrow, technical language that's just broad enough to sound definitive but vague enough to avoid any real accountability. Lucas: The classic example is the 'network configuration change.' That could mean a typo in a firewall rule, or a routing table update that went sideways, or someone accidentally taking down a core router. But you never get that granularity. Luna: And I get the argument for that. If you're a vendor, you don't want to name a specific product or team, because then customers might start pointing fingers, and competitors might use it in a sales pitch. But from a customer perspective, it's infuriating. Lucas: Absolutely. And there's a deeper issue here. The postmortem is a document that's written for multiple audiences at once. It's for the engineers who need to learn, for the executives who need to assure investors, for the customers who need to feel safe, and for the lawyers who need to limit liability. Luna: And those audiences pull in opposite directions. The engineers want raw detail, the lawyers want sanitized summary. And the lawyers usually win. Lucas: So what ends up happening is you get this genre that's become almost a ritual. Every provider has a template, and they fill it in with the same kind of language. 'We deeply regret the impact,' 'We are committed to earning back your trust,' 'We have implemented automated guardrails to prevent recurrence.' Lucas: But if you look across a year of postmortems from any major provider, you'll notice the same categories of incidents keep repeating. You know, the 'misconfigured change' and the 'unexpected dependency issue' and the 'capacity saturation event.' Luna: So what's the tell, then? How do you spot a postmortem that's actually going to be useful versus one that's just going through the motions? Lucas: The biggest tell, I think, is whether the corrective actions are specific enough to be testable. A good postmortem says something like, 'We will add a canary test that runs every deployment of the load balancer config through a staging environment with live traffic patterns, and we will require sign-off from two senior engineers before any production change.' Lucas: A bad postmortem says, 'We will improve our change management process.' It's not a plan, it's a vibe. Luna: That's a great point. And you can actually check if they followed through. If they say they're going to add a canary test, you can look for evidence of that in their engineering blog or in their public documentation. If they say 'improve change management,' you've got nothing to verify. Lucas: And that's the key for a business listener. You're not just reading the postmortem for the narrative of what happened. You're trying to assess the reliability engineering culture of your provider. And that culture shows up in the specificity of the commitments. Lucas: Of course, there are exceptions. Some postmortems are genuinely stellar. I'm thinking of a few from smaller providers, and even some from the big three, where they actually name the service, the team, and they even include the exact CLI command that was mistyped. It's rare, but it happens. Luna: And what do those outliers have in common? Why do they do it? Lucas: I think it's a strategic choice. They understand that in the long run, radical transparency is a competitive advantage. When you're a smaller player competing against the giants, you can't win on scale, so you win on trust. And publishing a brutally honest postmortem is a powerful trust signal. Lucas: It says, 'We have nothing to hide, and we're confident in our engineering.' And that can actually be a differentiator in the enterprise market, where procurement teams are increasingly reading these documents. Luna: So what should the average business person do with all this? They're not a site reliability engineer, they don't have time to dissect every postmortem. What's the practical takeaway? Lucas: The practical takeaway is to build a habit of reading them, but to read them with a specific checklist in mind. First, look at the timeline and see how long it took to detect the issue versus mitigate it. That tells you about their monitoring and their incident response, which is actually more important than the root cause. Lucas: Second, look at the corrective actions and ask, 'Can I verify any of this?' If you can't, that's a red flag. Third, look for any mention of customer impact that goes beyond the headline numbers. Did they mention the specific services affected? Did they give an apology that actually acknowledges the human cost? Luna: And if they don't, maybe that's a signal to start thinking about multi-cloud or at least a more robust failover strategy. Lucas: Exactly. And that's the thing. The postmortem isn't just a historical record. It's a forward-looking risk assessment tool. You're using it to decide how much you can rely on this provider and what you need to do to protect yourself. Lucas: And honestly, that's why we keep coming back to these topics. If these conversations are useful for what you're building or running, that's the point. And if you ever feel like buying us a coffee to keep the show ad-free, that's a nice way to keep it going. Buy me a coffee dot com slash fexingo. Luna: Yeah, no pressure at all, but it does help. And we've got more to dig into on this, so let's keep going. Lucas: So let's talk about the elephant in the room: the status page. The postmortem is often the final chapter, but for most customers, the status page is where they experience the outage. And those updates are often even more cryptic. Luna: Right, 'We are investigating reports of increased latency in the us east region.' That's the classic. It tells you nothing, but it gives you just enough hope to not immediately switch to your disaster recovery plan. Lucas: And then it goes to 'we've identified the root cause and are implementing a fix,' and then 'the issue has been resolved.' But there's no granularity about what was actually wrong or what the blast radius really was. You're left in the dark, and that's a problem. Lucas: There's been research on this, and some providers are starting to improve. They're giving more frequent updates, they're being more specific about the affected services, and they're even offering a preliminary postmortem within 24 hours for major incidents. But the default is still the vague status page. Luna: And as a customer, what can you do in the moment? You can't exactly demand a detailed update while your site is down. Lucas: You're right, but you can do two things. First, you can have a plan that doesn't rely on the status page. You can have your own synthetic monitoring that tells you if your endpoints are healthy, regardless of what the provider says. And second, you can make noise after the fact. Lucas: When the postmortem comes out, you can hold them accountable. You can ask your account manager, 'Why didn't you mention the impact on our specific service? Can you share the detailed incident report?' And the more customers who do that, the more pressure there is to be transparent. Luna: It's a bit like voting. One postmortem request doesn't change much, but a coordinated push from enterprise customers might. Lucas: Exactly. And that's where we might see the industry shift. Already, some providers are publishing aggregate reliability data, like monthly uptime percentages that go beyond the 99.9% SLA. And there are third-party services that track and score postmortem quality. Lucas: That's a sign that transparency is becoming a differentiator. In a market where the technology is increasingly similar, the quality of the relationship during failure is what sets providers apart. Luna: So five years from now, do you think we'll look back at today's postmortems the way we look at old product manuals? Like, 'Wow, they actually expected us to trust that?' Lucas: I hope so. The bar is so low right now that there's a lot of room to improve. And the providers that get it right will win the most loyal customers. The ones that don't will face a slow erosion of trust, especially as outages become more common. Luna: More common? Do you mean because of AI's data center power demand or just the general complexity of these systems? Lucas: A bit of both, really. The systems are getting more complex, and they're being pushed harder. And there's this paradox where the cloud is supposed to be more reliable than on-prem, but it's also a bigger target. When it fails, it fails at scale. Lucas: So the postmortem will only become more important. It's the one tool we have to learn from these events at an industry level. We just need to demand that it lives up to its potential. Luna: Well, I know I'll be reading the next one with a lot more skepticism. And a highlighter. Lucas: That's the spirit. And if you want a cheat sheet, we'll put the checklist we talked about in the show notes. Until next time, keep your systems resilient.