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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 migrations: the graph and the data
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 migrations: the graph and the data

Reading20 min

A migration bug is a deployment bug: it is discovered at the worst moment, on the machine you cannot experiment on. The skill this section trains is bringing the failure back to your own machine, by reproducing the exact starting state the migration ran on.

Migrations are a graph, and the numbers are decoration

Each migration lists its dependencies; the file number is only a naming convention. Two migrations that depend on the same parent are two leaf nodes, and migrate refuses to choose an order. Learn to read the graph (showmigrations, the dependencies list at the top of each file) rather than the file names, and to fix a fork by merging it, not by deleting files that may already have been applied somewhere.

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Reproduce the starting state, not just the code

A migration is a function of the schema and the data it meets. It can pass on an empty database and on staging and still fail on production because production has NULLs, duplicates and legacy values nobody remembers. To debug it, recreate that starting state: migrate a scratch database back to the migration before the failing one, insert rows shaped like production, then migrate forward and read the actual error.

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Expand, backfill, constrain

The safe shape for adding a required or unique column is three steps: add it nullable (expand), fill it with values that satisfy the future constraint by construction (backfill), then tighten it (constrain). Most migration failures on real data are a backfill that assumed the data was clean. Keep migrations reversible where you can, keep the model and the migrations in agreement (makemigrations --check in CI), and never weaken the model just to make a deploy pass.

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PreviousLab: The last unit is sold twiceNextLab: The release is blocked by conflicting migrations

Course progress

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On this page

  • Migrations are a graph, and the numbers are decoration
  • Reproduce the starting state, not just the code
  • Expand, backfill, constrain