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⚙️Backend Dev

Backend engineering, APIs, and databases

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Test yourself: Top 30 Backend Dev concepts questionsMultiple choice, with the correct answer and why it is correct on every question. Free, no sign-in.

Concepts in Backend Dev, page 19

Database Proxies: A Manager for Your Database Traffic
advanced2 min read

Database Proxies: A Manager for Your Database Traffic

A database proxy is a manager between your app and database, handling requests to improve performance and security. It pools connections, caches queries, and balances load, preventing any single server from being overwhelmed.

advanced2 min read

E2E Testing: The Final Check, Not The Whole Strategy

E2E testing is a dress rehearsal for your app, simulating a full user journey. Use it sparingly for critical flows like checkout, as it tests all services together. The footgun is over-reliance: they are slow, brittle, and hard to debug.

advanced2 min read

Rust Build Profiles: Tune for Speed vs. Debugging

Rust build profiles are presets for the compiler, trading off compile time and debuggability for runtime speed. Use the dev profile for quick iteration and the release profile for production. The footgun is benchmarking without the --release flag.

easy2 min read

Database as a Service (DBaaS): Rent, Don't Build

DBaaS is like leasing a database instead of owning it. A cloud provider handles the backups, patching, and scaling, so you can focus on your app. The main footgun is assuming "managed" means you can ignore configuration, query performance, and costs.

advanced2 min read

Nock: Intercept and Mock Node.js HTTP Requests

Nock acts like a fake switchboard for your Node.js app's outgoing HTTP calls, redirecting them to pre-defined responses. This lets you unit test code that relies on external services, making tests fast, deterministic, and offline-capable.

easy2 min read

Go's `os` Package: Your File System Toolkit

Go's os package is your universal remote for the file system. Use ReadFile for quick access or open a File object for finer control. It's essential for logs and configs. Forgetting to Close() a file leaks resources and can crash your program.

easy2 min read

Amazon RDS: Managed Relational Databases in the Cloud

Amazon RDS is like hiring a DBA to manage your database's plumbing. It's for when you need a SQL database like PostgreSQL or MySQL without the hassle of patching and backups. The footgun is assuming it's 'serverless'—you still manage cost and performance.

easy2 min read

Go-Style vs. GNU-Style Flag Parsing

Go's command-line parser is stricter than the familiar GNU style, not distinguishing short/long flags or allowing them after arguments. This is key when porting Go CLIs to Rust to maintain user experience.

Compute & Storage Separation: Scale One Without the Other
intermediate2 min read

Compute & Storage Separation: Scale One Without the Other

This architecture treats your data warehouse (cheap storage) and query engine (expensive compute) as separate services. You can scale compute for peak demand without overprovisioning storage.

advanced2 min read

Mocking with Pytest's monkeypatch

Pytest's monkeypatch is a temporary stunt double for your code, safely swapping out functions or environment variables for a single test. Use it to isolate tests from network calls or filesystem access.

easy2 min read

XSS Prevention: Context-Aware Output Encoding

Prevent XSS by encoding all untrusted data just before it's rendered. The key is context: escaping for an HTML body is different from an attribute or script tag. This is critical for displaying user content.

easy2 min read

Go's Time: Wall Clocks vs. Monotonic Clocks

Go separates telling time (wall clock) from measuring it (monotonic clock) to prevent errors from system clock changes. Use time.Sub for reliable timing and time.Format for display. The footgun: formatting uses a magic date, not YYYY-MM-DD.

intermediate1 min read

Amazon Aurora: AWS's Proprietary Relational Database

Amazon Aurora is a proprietary relational database from AWS, offered as part of the Amazon Relational Database Service (RDS). It provides a managed database solution within the AWS cloud ecosystem, available since October 2014.

Testing WebSockets in FastAPI
advanced2 min read

Testing WebSockets in FastAPI

Test a WebSocket conversation by scripting both sides. FastAPI's TestClient provides a websocket_connect context manager to send messages and assert responses sequentially, which is crucial for testing chats or live data feeds.

easy2 min read

Preventing SQL Injection: Never Trust User Input

To prevent SQL injection, treat SQL as a template and user input as data that can only fill placeholders, never changing the query's structure. Use this for any database query in your Node.js app that uses external data.

Go vs. Rust: Why String Indexing Is Tricky
easy2 min read

Go vs. Rust: Why String Indexing Is Tricky

Rust prevents direct string indexing to force correctness, while Go treats strings as raw byte slices. This matters for non-ASCII text where characters span multiple bytes. The footgun: Go's s[i] can corrupt data; Rust's &s[..i] can panic.

Amazon DynamoDB: Scalable NoSQL as a Service
intermediate2 min read

Amazon DynamoDB: Scalable NoSQL as a Service

Think of DynamoDB as a database where you trade complex queries for near-infinite, hands-off scaling. It's a managed NoSQL service from AWS for key-value and document data, built for high-performance applications.

FastAPI: Configure API Metadata for Better Docs
easy2 min read

FastAPI: Configure API Metadata for Better Docs

Think of FastAPI metadata as your project's business card. It sets the title, version, and description in your auto-generated docs, making your API professional and discoverable. The main footgun is forgetting to update the version string after a release.

Dependency Scanning with npm audit
easy2 min read

Dependency Scanning with npm audit

Think of dependency scanning as a background check for your code. npm audit compares your project's packages against a database of known security flaws, telling you if you're using vulnerable code. The biggest footgun is blindly running npm audit fix.

Buffered I/O: Batch System Calls for Speed
intermediate2 min read

Buffered I/O: Batch System Calls for Speed

Buffered I/O batches many small reads or writes into fewer, larger system calls, trading a small amount of memory for a huge speed boost. It's essential for tasks like writing log files line-by-line, preventing a system call for every single line.

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