There is a reason why System Design is hard for most software engineers.

They don't understand how distributed systems work.

If you want to learn the basics of distributed systems, read these 13 curated articles: ↓ 1. From theory to production: cache performance, architecture, and deployment strategies.

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If you're a software engineer who wants to get better at tech interviews, read these 12 articles (dark mode available): ↓ 1. A 7 steps bulletproof framework to ace your next technical interview round

francofernando.substack.com/p/how-to-tackl…

If you're a backend engineer who want to get better at system design, read these 14 articles: ↓ 1. The evolution of a web application architecture when going from serving hundreds to millions of users.

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Indexes are one of the most critical concepts for databases.

But to use them effectively, you need to know how they work under the hood.

Here are the fundamental concepts that every backend engineer should know: ↓ Database indexes have the same functionality as textbook indexes.

They help to retrieve data quickly.

Anyway, the similarity ends here since database indexes are much more complex.

If you want to improve your skills as a senior software engineer, read these 12 curated articles: ↓ 1. How to become a better writer as a software engineer.

newsletter.francofernando.com/p/writing-as-a…

Many applications require the generation of unique IDs on their backend.

This task is easy on a single server but harder on a large scale.

For example, on a single server, you can use an incremental ID or a function to get the time of the day.

However, such strategies fail in a distributed scenario since they create duplicates.

Here are 4 effective alternatives you can use: ↓ 1. Application-level Universal Unique Identifiers (UUIDs).

UUIDs are 128-bit numbers that the application can generate in different ways.

For example, it can combine time, the server’s MAC address, or an MD5 hash.

The main benefits of UUIDs are:

• servers don't need to be in sync
• large ID space and low number of collisions

The main drawbacks are:

• big size (128 bit)
• IDs are not sequential

If you're a software engineer who wants to know more about databases, read these 10 articles: ↓ 1. A taxonomy of the most used types of database available on the market: relational, NoSQL, time-series and NewSQL.

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Backend development is a challenging yet rewarding field.

If I had to start over again, these are the 7 steps I would take: ↓ 1. Learn a programming language

To get a job in backend programming, you need to be good at writing code.

Python, C#, and Java are all popular backend programming languages.

You don't have to be good at all of them, though.

Pick a language and learn it well.

If you're a software engineer who wants to upskill in system design, read these 12 articles: ↓ 1. How to answer this popular system design question: from a simple concept to a scalable system.

francofernando.substack.com/p/designing-a-…

If you want to get better at coding interviews, learn these 10 patterns: ↓ 1. Two pointers

Two-pointers are like markers that move through an array or list.

The goal is usually to find items that meet certain conditions.

The pointers can move in different directions depending on the problem.

Problem:

- Squaring a Sorted Array

Every software developer needs to know how the HTTP protocol works.

Here are the 8 fundamental things you need to grasp: ↓ 1. What is HTTP

HTTP is an application-level protocol based on a request-response paradigm.

Its primary use is encoding and transporting information between a client and a server.

A typical HTTP transaction is made of 2 steps:

• a client sends a request message to a server

• the server replies with a response message

As a senior software engineer, you should read these famous white papers from big tech companies (AWS, Google, Meta,..): ↓ 1. Dynamo: Amazon’s Highly Available Key-value Store

cs.cornell.edu/courses/cs5414…

2. Spanner: Google’s Globally-Distributed Database

static.googleusercontent.com/media/research…

3. Scaling Memcache at Facebook

usenix.org/system/files/c…

If you're a software engineer who wants to learn the core concepts about system design and distributed systems, read these 12 articles: ↓ 1. How RAFT solves the consensus problem in distributed systems: a step-by-step breakdown that every engineer can understand.

newsletter.francofernando.com/p/the-raft-con…

What is API pagination?

A lot of times, REST APIs need to return 100+ results.

API pagination is a way to break such data into chunks that are easy to work with.

This improves user experience and reduces server load.

These are the 3 kind of API pagination you need to know: ↓ 1. Offset-Based

The API uses two parameters: "offset" determines the position in the dataset, while "limit" specifies the maximum number of data to include on each page.

This approach became popular with apps using SQL, which already have LIMIT and OFFSET as part of the syntax.

Example: GET products?limit=20&offset40

Pros: It's simple to set up and lets you go straight to any page.

Cons: There are performance issues with large OFFSET values. It can cause data to be duplicated or skipped in dynamic datasets.

If you are a software engineer serious about getting better at algorithms and data structures, read these 12 articles: ↓ 1. How to use the two-pointer method to efficiently solving array and string problems (with code templates).

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Most developers think graphs are not important for their daily work.

But the reason is that they don't know graph algorithms and their use cases.

You will change your mind once you know these 5 algorithms: ↓ 1. Breadth-first search

It's a traversal algorithm implemented using a queue data structure.

It starts from a node and first explores all its adjacent nodes.

Then, it explores all nodes two steps away from the starting one, and so on.

Applications of BFS are:

● build web page indexes in web crawlers

● discover neighbor nodes in p2p networks

● find neighboring places in GPS navigation systems

If you're a backend engineer who want to get better at system design, read these 13 articles: ↓ 1. Common mistakes software engineers make during system design interviews and how to avoid them.

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9 LeetCode articles that will help you get ready for your next coding interview: ↓ 1.Two Pointers Patterns:

leetcode.com/discuss/study-…

2. Binary Search Patterns:

leetcode.com/discuss/study-…

3. Dynamic Programming Patterns: leetcode.com/discuss/study-…

If you are a senior software engineer who wants to improve his/her skills, read these 10 curated articles: ↓ 1. How to boost your career as a software engineer by communicating better with your peers, manager, and partners.

newsletter.francofernando.com/p/communication

Coming up with an algorithm to solve a problem is hard.

Without a proper approach, it's easy to get lost.

Here are 6 methods you can use to solve 99% of the problems: ↓ 1. Brute Force

It's the most basic approach.

• Methodically list all the possible candidates for the solution.

• Check to see if the problem statement is satisfied for each option.

• It always finds the best solution but doesn't scale with the input size.

Example: Find the closest pair of points

If you're a software engineer who want to get better at tech interviews, read these 10 articles: ↓ 1. Common mistakes software engineers make during system design interviews and how to avoid them.

newsletter.francofernando.com/p/how-not-to-f…