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Production Debugging: Fix Real Bugs in a Live-Looking App

Course progress

0%
0 of 68 modules complete

Django

Performance0/3
  • Debugging slow pages: measure first
  • Lab: The order list page is slow for repeat customers
  • Lab: The staff dashboard hits the database too often
Data model and money0/4
  • Debugging wrong data: trace the value, not the screen
  • Lab: Invoices vanish when a customer is deleted
  • Lab: Order totals are one cent off
  • Lab: Evening orders land on tomorrow's report
Concurrency0/3
  • Debugging races: make the bug happen on purpose
  • Lab: A burst of signups crashes with IntegrityError
  • Lab: The last unit is sold twice
Migrations0/3
  • Debugging migrations: the graph and the data
  • Lab: The release is blocked by conflicting migrations
  • Lab: A migration that only fails on production data
Configuration and deployment0/2
  • Debugging configuration: what differs between here and there
  • Lab: Production has no styles or scripts
Calls to other services0/2
  • Debugging calls to other services: design for the failure
  • Lab: Checkout hangs when the payments provider is slow

FastAPI

Migrations (Alembic)0/3
  • Debugging Alembic: the revision graph and the data it meets
  • Lab: The release is blocked by multiple Alembic heads
  • Lab: A migration works in staging and crashes on production
Performance (SQLAlchemy)0/2
  • Measure first: counting statements in async SQLAlchemy
  • Lab: The order list is slow for repeat customers
Async and concurrency0/3
  • Debugging async code: the loop and the races between awaits
  • Lab: The whole API freezes whenever somebody logs in
  • Lab: Store credit goes missing under load
Service calls and errors0/3
  • Debugging outbound calls and the errors you report
  • Lab: Paying hangs when the payments provider is slow
  • Lab: Customers cannot pay but the dashboards show no errors
Data model and validation0/2
  • Debugging validation models: absent is not the same as null
  • Lab: Saving one profile field erases the others
Configuration and security0/4
  • Debugging deployment settings and authorization
  • Lab: The API docs are blank behind the gateway
  • Lab: Any customer can read any order
  • Expert lab: Double charges, then a frozen API, then a kill switch that does nothing

React

React hooks0/4
  • Debugging hooks: dependencies, closures and identity
  • Lab: The updated badge never gets past 1
  • Lab: Changing the status filter does not reload orders
  • Lab: The Reports page hammers the API
Async and races0/3
  • Debugging async UI: ordering and failure paths
  • Lab: Customer search shows results for an older query
  • Lab: An order stays flagged after the server refused it
State and identity0/3
  • Debugging state: who owns it and which component it belongs to
  • Lab: Deleting a note makes the next note show the wrong text
  • Lab: The customer editor shows the previous customer
Performance0/3
  • Debugging React performance: measure renders and leaks
  • Lab: Typing in the quick filter makes every page re-render
  • Lab: Memory and CPU grow every time Orders is opened
API and configuration0/4
  • Debugging the edges: API results, dates and build-time config
  • Lab: The UI says Saved while the server was down
  • Lab: Revenue report shows the previous day for US users
  • Lab: The staging build still calls its own host

Fullstack

Sessions, cookies and CORS0/5
  • Where the browser and the API disagree: sessions, cookies and CORS
  • Lab: Staging console cannot sign in - the form just says "Failed to fetch
  • Lab: Sign-in succeeds, then Orders and Profile say "Sign in to continue
  • Lab: Saving anything fails with "The request could not be verified
  • Lab: Saving the profile fails with "The request could not be verified
The API contract0/4
  • Contracts across the wire: error bodies, query strings and paging
  • Lab: Error messages are gone - not-found and forbidden failures show "Request failed"
  • Lab: Searching for "R&D Kit" lists everything containing an R
  • Lab: Our newest orders are missing from the order history
Data and state0/4
  • Values that change meaning on the way: time zones, money and stale writes
  • Lab: The order I placed this evening is dated tomorrow
  • Lab: Every order in the history shows a total of under a dollar
  • Lab: Saving my profile on my laptop erased the phone number I just changed on my phone

FastAPI

Latency and slow APIs0/4
  • Debugging a slow API: blocked loops, sequential awaits and throwaway clients
  • Lab: The API stalls while shoppers search
  • Lab: The storefront takes the sum of its dependencies
  • Lab: A new connection for every charge
Debugging wrong data: trace the value, not the screen
Course contents

Production Debugging: Fix Real Bugs in a Live-Looking App

Course progress

0%
0 of 68 modules complete

Django

Performance0/3
  • Debugging slow pages: measure first
  • Lab: The order list page is slow for repeat customers
  • Lab: The staff dashboard hits the database too often
Data model and money0/4
  • Debugging wrong data: trace the value, not the screen
  • Lab: Invoices vanish when a customer is deleted
  • Lab: Order totals are one cent off
  • Lab: Evening orders land on tomorrow's report
Concurrency0/3
  • Debugging races: make the bug happen on purpose
  • Lab: A burst of signups crashes with IntegrityError
  • Lab: The last unit is sold twice
Migrations0/3
  • Debugging migrations: the graph and the data
  • Lab: The release is blocked by conflicting migrations
  • Lab: A migration that only fails on production data
Configuration and deployment0/2
  • Debugging configuration: what differs between here and there
  • Lab: Production has no styles or scripts
Calls to other services0/2
  • Debugging calls to other services: design for the failure
  • Lab: Checkout hangs when the payments provider is slow

FastAPI

Migrations (Alembic)0/3
  • Debugging Alembic: the revision graph and the data it meets
  • Lab: The release is blocked by multiple Alembic heads
  • Lab: A migration works in staging and crashes on production
Performance (SQLAlchemy)0/2
  • Measure first: counting statements in async SQLAlchemy
  • Lab: The order list is slow for repeat customers
Async and concurrency0/3
  • Debugging async code: the loop and the races between awaits
  • Lab: The whole API freezes whenever somebody logs in
  • Lab: Store credit goes missing under load
Service calls and errors0/3
  • Debugging outbound calls and the errors you report
  • Lab: Paying hangs when the payments provider is slow
  • Lab: Customers cannot pay but the dashboards show no errors
Data model and validation0/2
  • Debugging validation models: absent is not the same as null
  • Lab: Saving one profile field erases the others
Configuration and security0/4
  • Debugging deployment settings and authorization
  • Lab: The API docs are blank behind the gateway
  • Lab: Any customer can read any order
  • Expert lab: Double charges, then a frozen API, then a kill switch that does nothing

React

React hooks0/4
  • Debugging hooks: dependencies, closures and identity
  • Lab: The updated badge never gets past 1
  • Lab: Changing the status filter does not reload orders
  • Lab: The Reports page hammers the API
Async and races0/3
  • Debugging async UI: ordering and failure paths
  • Lab: Customer search shows results for an older query
  • Lab: An order stays flagged after the server refused it
State and identity0/3
  • Debugging state: who owns it and which component it belongs to
  • Lab: Deleting a note makes the next note show the wrong text
  • Lab: The customer editor shows the previous customer
Performance0/3
  • Debugging React performance: measure renders and leaks
  • Lab: Typing in the quick filter makes every page re-render
  • Lab: Memory and CPU grow every time Orders is opened
API and configuration0/4
  • Debugging the edges: API results, dates and build-time config
  • Lab: The UI says Saved while the server was down
  • Lab: Revenue report shows the previous day for US users
  • Lab: The staging build still calls its own host

Fullstack

Sessions, cookies and CORS0/5
  • Where the browser and the API disagree: sessions, cookies and CORS
  • Lab: Staging console cannot sign in - the form just says "Failed to fetch
  • Lab: Sign-in succeeds, then Orders and Profile say "Sign in to continue
  • Lab: Saving anything fails with "The request could not be verified
  • Lab: Saving the profile fails with "The request could not be verified
The API contract0/4
  • Contracts across the wire: error bodies, query strings and paging
  • Lab: Error messages are gone - not-found and forbidden failures show "Request failed"
  • Lab: Searching for "R&D Kit" lists everything containing an R
  • Lab: Our newest orders are missing from the order history
Data and state0/4
  • Values that change meaning on the way: time zones, money and stale writes
  • Lab: The order I placed this evening is dated tomorrow
  • Lab: Every order in the history shows a total of under a dollar
  • Lab: Saving my profile on my laptop erased the phone number I just changed on my phone

FastAPI

Latency and slow APIs0/4
  • Debugging a slow API: blocked loops, sequential awaits and throwaway clients
  • Lab: The API stalls while shoppers search
  • Lab: The storefront takes the sum of its dependencies
  • Lab: A new connection for every charge
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Debugging wrong data: trace the value, not the screen

Reading20 min

Wrong-data bugs are quiet. Nothing crashes: a total is a cent off, a day's revenue lands on the wrong day, a record is simply gone. By the time someone notices, the damage is already stored. The skill here is to stop staring at the screen and follow one wrong value backwards, from where it is displayed to where it was produced.

Follow one value end to end

Pick one concrete wrong example (order 4812, invoice INV-2025-00031, the 50.00 subtotal) and walk it through the system: what the database holds, what the code reads, what each function returns, what is finally rendered. The first place the value is wrong is where the bug lives, and it is often earlier than you expect. If the stored value is already wrong, the bug is in the write path; if the stored value is right, it is in the read path.

Keep the example small enough to check by hand. A wrong number you can recompute on paper is worth more than a hundred you can only see in aggregate.

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Relationships decide what deletion does

Every foreign key answers a question the model author may not have asked: what should happen to me when the row I point at is deleted? CASCADE deletes me too, PROTECT refuses the deletion, SET_NULL keeps me but detaches me. Cascades follow chains: delete a customer and the orders go, and so does everything hanging off the orders. Django even shows you this list on the admin delete confirmation page.

For business records (orders, invoices, payments) the right answer is almost never to lose them. The bug is often a single word in a model, and it can lie dormant for months until someone deletes the wrong row.

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Money is exact and time has a zone

Two families of data bugs come from using the wrong kind of number. Binary floating point cannot represent most decimal fractions exactly, so money computed through floats drifts by a cent in a few percent of cases, and round() on a float does not round halves the way accounting expects. Keep money in Decimal from input to output and choose the rounding mode on purpose.

Time has the mirror-image problem. Django stores instants in UTC, but a business day (or a report row, or an invoice date) belongs to a time zone, and the offset changes with daylight saving. "Which day was this order placed?" has no answer until you say which zone you mean. Whenever a number sits next to a date, ask what zone the date is in and where the conversion happens.

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Each lab in this section gives you one such lie to run to ground. The fix is only done when a test with a carefully chosen input (the 50.00 subtotal, the order just before midnight, the customer with orders) fails on the old code.

PreviousLab: The staff dashboard hits the database too oftenNextLab: Invoices vanish when a customer is deleted

Course progress

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On this page

  • Follow one value end to end
  • Relationships decide what deletion does
  • Money is exact and time has a zone