Raj's Post-Mortem: The Surgery Is Over, Now for the Autopsy

Raj's Post-Mortem: The Surgery Is Over, Now for the Autopsy

The fix is ready. The team is breathing a collective sigh of relief. The temptation to move on, to declare victory and close the ticket, is immense. The surgeon's job may be done; the pathologist's work is just beginning. It is time for the guru to ensure the most important lesson is not forgotten.


TL;DR;

The bug is fixed, validated, and ready for release. The team thinks the job is done. The senior architect, Raj, intervenes by calling a "post-mortem." He explains that fixing a bug is merely treating a symptom. A great team must conduct a blameless Root Cause Analysis (RCA) to find and cure the underlying "disease" in their system or process. Using the "5 Whys" technique, they dig past the surface-level code error to find a systemic flaw, ensuring an entire class of similar bugs can be prevented in the future.


"The definition of insanity is doing the same thing over and over again and expecting different results." – (Often attributed to Albert Einstein)


(The scene: It is a Monday morning in Bengaluru. Raj is at his desk, writing a technical note. The week since the production bug has been a whirlwind of progress. The team has successfully navigated their new, disciplined process. The ticket, , now sits proudly in the "Ready for Release" column. The war room has become a celebration room. But Raj knows the work is not yet complete.)

There is a dangerous moment in the lifecycle of every bug. It is the moment after the fix has been found and validated. It is a moment of relief, of celebration. It is also a moment of greatest potential ignorance. The team, happy that the patient has been stabilized, is eager to discharge him from the hospital and forget the whole messy affair.

I called one last meeting for .

"But Raj sir," Arjun had said, surprised, "the fix is ready. It's done."

"No, Arjun," I replied as they gathered in the conference room. "The surgery was a success. The patient is alive. But you have no idea why he got sick in the first place. If we discharge him now, he will be back next month with the same illness. The surgery is over. Now, we must perform the autopsy."

This is the purpose of a post-mortem. It is not to find who to blame. It is to find what to fix. Not in the code, but in our system.

The First Rule: It Must Be Blameless

The first thing I wrote on the whiteboard was "BLAMELESS." In a bad culture, a post-mortem is a witch hunt. The question is "Whose fault is it?" This is a stupid question. It leads to fear, to hiding mistakes. In a good culture, the question is, "Why did our process, our safety nets, our system, allow this mistake to happen?" A bad cricket captain blames the batsman who got out. A great captain asks, "Why was our practice regimen not good enough to prepare our team for this type of bowling?" We are here to fix the regimen, not the batsman.

The Second Rule: Dig Deeper (The 5 Whys)

The second thing is to never be satisfied with the surface-level answer. For this, we use a simple but powerful tool. The 5 Whys. I turned to the team.

Me: "Okay. Why #1: Why did the bug happen?"

Arjun: "A Null Pointer Exception was thrown in the ."

Me: "Good. Why #2: Why was there a null pointer?"

Arjun: "The object, which we got from an upstream service, was null."

Me: "Okay. Why #3: Why did our code not handle a null ?"

Fatima: "Our logic made an assumption. It assumed that a valid customer profile would always be returned if the API call was successful."

Me: "Now we are getting somewhere. Why #4: Why did we make that assumption? Why didn't our tests catch this?"

Sameer: "My integration test for that service only checked the 'happy path'—the 200 OK response with a full JSON body. I didn't have a test for a 200 OK with an empty or malformed body."

Me: "Excellent. The final and most important question. Why #5: Why did our team's official testing standards allow for an integration test that only covers the happy path?"

(The room was silent for a moment.)

Fatima: "Because... we don't have an official standard for it. It was tribal knowledge. We just assumed people knew they should test for it."

I picked up the marker and wrote the true root cause on the board: "Our engineering standards do not formally require contract testing for non-happy-path scenarios on external API integrations."

Do you see? The problem was not Arjun's code. The problem was a hole in our system. A hole that we can now fix. I then wrote "ACTION ITEMS" on the board and assigned owners. We will update our official testing checklist. We will build a reusable test utility for this. We will hold a training session.

Now the work is truly done. We did not just fix a bug. We vaccinated our entire system against a whole class of future bugs. That is the difference between being a coder and being an engineer.


Summary

This article details the crucial, often-overlooked step of conducting a blameless post-mortem after a bug is resolved. The architect, Raj, explains that fixing the code is merely treating a symptom. To cure the underlying disease, the team must perform a Root Cause Analysis (RCA). He introduces the "5 Whys" technique, leading the team in an exercise that digs past the surface-level bug to uncover a systemic weakness in their testing standards. The article concludes by emphasizing that the goal of an RCA is to generate concrete, actionable improvements to the team's process, thereby preventing entire categories of future bugs.

Call to Action

Does your team conduct blameless post-mortems after significant bugs or outages? What techniques do you use to find the true root cause? Share your RCA process in the comments.

Keywords

Root Cause Analysis (RCA), Post-Mortem, 5 Whys, Blameless Culture, Continuous Improvement, Kaizen, Systems Thinking, Tech Leadership, Agile, Process Improvement.

Hashtags

#RootCauseAnalysis #PostMortem #ContinuousImprovement #EngineeringCulture #TechLead #Agile #SystemsThinking #DevOps #Kaizen #SoftwareDevelopment

Very Nice Post Raj. Wonder why such test cases are not automated. Tried working on an automation test case tool which will refer previous running instance for data and generate a test case. But, such things take time to perfect and go through various stumbling blocks of resistance. Unpopular opinion. Sometimes I feel, Indian IT suffers not because of lack of talent. But because of our Billing Revenue theory. Whatever that cannot be billed should be kept aside. Moreover there is no need to reduce our own billing with such automation. So far so good. Enter AI which takes the whole industry out of billing which relied on mundane tasks.

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