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Coffee at the Office: The Boost That Hides Your Fatigue

Wed, 22 Jul 2026 10:00:00 +0200

Look around you on an ordinary day at the office. The first morning coffee, the 10 a.m. break one, the last little cup before the big meeting. Many people drink several a day, take real pleasure in it, and would swear they need it to keep going. Nothing alarming there. But one observation is intriguing: why, when they skip their coffee, does a sudden — sometimes fierce — fatigue set in? This article starts from that everyday behavior and descends, layer by layer, toward what the science says.

MTTR: The Metric That Saves Your Nights

Tue, 21 Jul 2026 10:00:00 +0200

It’s three in the morning, an alert fires, and the only question that matters isn’t “why did it break?” but “how long until it’s fixed?”. Trying to prevent every outage is an illusion: complex systems always end up failing. The real measure of a team’s maturity isn’t its ability to never fail, but its ability to recover fast. That’s what MTTR measures — provided you know how to read it.

Testing Your Bus Factor: The Muted Expert Exercise

Mon, 20 Jul 2026 17:00:00 +0200

Throughout this series, we’ve seen how to pass knowledge on: in real time, in writing, through organization. One question remains, and it’s the one we carefully avoid: does it actually work? You believe a team is robust because it documents and pairs — until the day a departure reveals the gaps. This article suggests not waiting for that day, and measuring your vulnerability while there’s still time.

I. What is the bus factor?

The bus factor answers a blunt question: how many people would have to disappear for a project to grind to a halt? The name comes from a deliberately crude image — how many team members could be hit by a bus before the work becomes impossible.

The Setups That Make Knowledge Circulate: Rotation, Game Days and Guilds

Mon, 20 Jul 2026 16:00:00 +0200

In the guide to collaboration modes, we saw how to pass knowledge on in real time (the tacit) and in writing (the explicit). But a team can master all these practices and still watch its knowledge concentrate in a few people. The reason is structural: without a setup that forces it, knowledge follows the natural slope of specialization. This article deals with the organizational layer — not how we work together, but how we arrange things so that knowledge circulates by default.

Sharing Knowledge Asynchronously: Code Review, ADRs and Docs-as-Code

Mon, 20 Jul 2026 15:00:00 +0200

In the guide to collaboration modes, we set out a rule: explicit knowledge travels asynchronously. Where synchronous modes pass on intuition through contact, asynchronous modes capture what can be written down — and produce a trace that survives departures. But you still have to avoid the classic trap: documentation that no one reads and no one keeps up to date. This article details the practices that work, and why.

I. The strength and the limit of writing

Writing has an advantage no synchronous mode matches: it depends on no one. It can be read at three in the morning during an incident, six months after its author has left, by someone who wasn’t there when the decision was made. It’s the bedrock of a team’s memory.

Working Together in Real Time: Pair, Mob, Shadowing and Swarming

Mon, 20 Jul 2026 14:00:00 +0200

In the guide to collaboration modes, we set out a rule: tacit knowledge travels only through contact. Synchronous modes are therefore irreplaceable — but they come at a cost, and that cost is scary. “Two people on a single task means halving productivity.” This article proves the opposite and details the four main ways of working together in real time, with their variants and their pitfalls.

I. Why synchronous work is irreplaceable

An expert diagnosing an outage isn’t following a procedure: they eliminate hypotheses at a speed they couldn’t even describe themselves. Ask them to write down their method and they’ll hand you an impoverished list. That knowledge — the order in which you look at things, what triggers a suspicion — exists only in action.

Sharing Knowledge in a Tech Team: A Guide to Collaboration Modes

Mon, 20 Jul 2026 13:00:00 +0200

In “When the last expert disappears,” we saw why a team’s memory is an invisible form of technical debt. What remains is how to fix it. Pair programming, mob, shadowing, code review, ADRs, on-call rotation: there is no shortage of practices, and that is precisely the problem — you don’t know which one to pick. This guide maps them out and gives a simple rule for deciding.

I. Two kinds of knowledge: tacit and explicit

Before choosing a practice, you need to know what you are passing on. All team knowledge falls into two families, and they don’t obey the same laws.

When the Last Expert Leaves

Mon, 20 Jul 2026 12:00:00 +0200

In almost every organization there is a system people talk about in hushed tones. It has been running for ten years, it is critical, and exactly one person truly knows how it works. The day that person leaves — retirement, resignation, transfer — it isn’t just a colleague walking out: it’s an entire library closing down without ever having been copied. That lost knowledge is a form of technical debt, the most insidious of all, because it shows up on no dashboard.

Making Your Charts Accessible to Everyone

Mon, 20 Jul 2026 03:00:00 +0200

You spend an hour polishing a chart, it’s perfect on your screen… and yet part of your readers won’t understand a thing. Your colorblind colleague can’t tell your two lines apart. The black-and-white printout flattens all your colors. The reader on mobile, in full sunlight, sees only a gray blur. As for the screen-reader user, they hear a single word: “image.” Making a chart accessible isn’t about ticking a regulatory box: it’s about keeping all your work from getting lost along the way.

7 Common Mistakes in Data Visualization

Tue, 14 Jul 2026 13:00:00 +0200

A chart is meant to clarify an idea. Poorly designed, it does the opposite: it confuses, or worse, it misleads — sometimes with no bad intent at all. The good news is that most failures come from the same handful of mistakes, easy to spot and fix. Here are seven, from the most misleading to the most subtle, with the remedy for each.

I. The truncated axis that exaggerates everything

The problem: starting the vertical axis somewhere other than zero. A 2% difference can then look like a dramatic gap. It’s the most misleading mistake — and the most common in “loaded” charts.

10 Free Tools to Create Charts Online

Tue, 07 Jul 2026 12:00:00 +0200

You know which chart you want — now you just have to produce it. Good news: there’s a wealth of free sites to create a clean visualization without installing anything, and without writing a line of code. Here’s a selection of 10 tools, ordered from simplest to most advanced, with what each does best and the limits worth knowing.

I. Before choosing a tool: choose the chart

An essential reminder: the tool doesn’t make the right chart, you do. Before opening any of these sites, identify your need first — compare, show change over time, a breakdown, a correlation? If it’s not clear, start with our guide “Which chart to choose for your data.” Once the type is decided, the tools below are just a matter of execution.

Which Chart to Choose for Your Data: The Complete Guide

Tue, 30 Jun 2026 11:00:00 +0200

Faced with a dataset, the same question always comes up: “which chart should I use?” We hesitate, try a pie chart, then bars, and often pick the one that “looks best” rather than the one that tells the truth. Yet the right chart depends neither on fashion nor aesthetics: it depends on the question your data must answer. This guide gives you a simple method to choose with confidence.

I. Start from the need, not the chart

The most common mistake is choosing a chart for its shape. The right approach is the opposite: start from the intent. Most visualizations answer one of these five questions:

The Invisible Part of the Iceberg: AWS Security Hub

Wed, 24 Jun 2026 10:00:00 +0200

When we talk about security on AWS, we first think of the visible services: GuardDuty detecting threats, Macie watching sensitive data, Inspector scanning vulnerabilities. These are the tips of the iceberg poking above the water. But beneath the surface lies a far larger mass: hundreds of scattered findings, compliance rules to follow, multiple accounts to correlate. AWS Security Hub is precisely the service that makes that invisible part usable, by gathering it into a single view.

MCP Servers: Integration and Ecosystem

Wed, 17 Jun 2026 10:00:00 +0200

In the first article, we laid the groundwork for the Model Context Protocol; in the second, we built a server from end to end. That leaves the question that turns a prototype into an everyday tool: how do you integrate an MCP server into your working environment, reusing the existing ecosystem, without opening a security hole? That’s the subject of this final article.

I. Connecting a server to Claude and Claude Code

In the tutorial, we connected our server to Claude Desktop through claude_desktop_config.json. Claude Code, the command-line assistant, offers an even more direct approach with the claude mcp subcommand:

Tutorial: Building Your First MCP Server in Python

Wed, 10 Jun 2026 10:00:00 +0200

In the first article on Model Context Protocol servers, we laid the groundwork: its host / client / server architecture and its three primitives (tools, resources, prompts). Now for the practical part. In this tutorial, we build a small MCP server in Python from end to end, exposing one tool and one resource, then we connect it to a host to watch a model use it.

I. Prerequisites and installation

You need Python 3.10 or higher. The official SDK also ships a handy command-line utility to test and install a server.

MCP Servers: Understanding the Model Context Protocol

Wed, 03 Jun 2026 10:00:00 +0200

Language models are brilliant at reasoning over text, but by nature they are cut off from the world. A model cannot read your files, query your database, or call an API unless it is explicitly given the means to do so. The Model Context Protocol (MCP) is the standard that solves this problem in a generic way. This first article lays the groundwork; the next ones will dive into building a server and integrating it into an ecosystem.

What is a Harness for AI Agents? Understanding the Infrastructure Behind Claude Code and Cursor

Wed, 27 May 2026 15:55:01 +0200

I. What is a Harness for AI Agents?

When you first discover tools like Claude Code, Cursor, or OpenAI Codex, it is easy to assume that a simple language model is capable of understanding an entire codebase, fixing bugs, executing commands, and running tests autonomously.

However, the technical reality is far more interesting.

The AI model is often only one piece of the system. Behind these tools lies a much more important layer than it first appears: the harness.

EC2 Checklist: 7 Things to Do After Launching an Instance

Wed, 20 May 2026 19:30:00 +0100

EC2 Checklist: 7 Things to Do After Launching an Instance

Launching an EC2 instance is easy.

A few clicks in the AWS Console, and your machine is running.

In reality, however, a launched instance is not a production-ready instance.

Many production incidents stem from small details that were overlooked immediately after launch:

Misconfigured security groups
No backups
No monitoring
Missing IAM role
Poor SSH configuration
Insufficient storage
Missing tags

Here is a simple and practical checklist of 7 things you should verify immediately after launching an EC2 instance.

Nx Is Not a JavaScript Tool: It Is a Work Orchestrator

Wed, 13 May 2026 12:00:00 +0100

I. Nx Is Not a JavaScript Tool: It Is a Work Orchestrator

Nx is often presented — and perceived — as a JavaScript tool.
“A thing for Angular,” or at best “a monorepo runner for Node.”

That perception is understandable…
but fundamentally incorrect.

Nx is not a JS tool.
Nx is a work orchestrator.

And that is precisely why it appears almost naturally as soon as a repository becomes polyglot.

Introduction to AWS Lambda: the complete guide for beginners and developers

Wed, 06 May 2026 10:00:00 +0100

I. What is AWS Lambda?

AWS Lambda is a serverless compute service launched by Amazon in 2014.
The idea is simple: you provide a function (a piece of code), and AWS runs it on demand, without you having to manage any servers.

You don’t provision servers, you don’t maintain an OS, and you don’t configure autoscaling manually.

Why Is Docker Cache Insufficient for a Monorepo?

Tue, 28 Apr 2026 10:00:00 +0100

I. Why Is Docker Cache Insufficient for a Monorepo?

Docker is everywhere.
And with it, a widely shared idea:

“If we structure our Dockerfiles well, Docker cache will speed up our CI.”

That is true… but only up to a certain point.

As soon as you work in a monorepo — with multiple projects, multiple languages, and multiple logical pipelines — Docker cache quickly shows its limits.

What Should You Really Cache in a CI/CD Pipeline?

Tue, 21 Apr 2026 10:00:00 +0100

I. Introduction

When trying to speed up a CI/CD pipeline, the first idea that almost always comes up is:

“we need to add cache”

But very quickly, another question appears:
what exactly are we caching?

Files? Folders? Docker images? Dependencies?
And above all: which cache has a real impact, and which one just makes the system more complex?

How to create a security group that allows only traffic coming from CloudFront?

Tue, 14 Apr 2026 17:52:00 +0100

How to create a security group that allows only traffic coming from CloudFront?

Why this question keeps coming back

In the AWS world, some questions come up again and again.
Not because they are poorly phrased, but because they point to a real friction between security, networking, and application architecture.

Thinking Top-Down in a Complex World

Tue, 07 Apr 2026 17:30:00 +0100

I. Two Fundamental Ways of Reasoning

When we observe how we design complex systems today — DevOps infrastructures, distributed platforms, modern software, or even educational pathways — we almost always find the same intellectual tension. On one side, there is a progressive and incremental approach, which starts from the basics and moves toward something more elaborate. On the other, there is an outcome-oriented approach, which begins by defining a goal, then works backward to determine what is needed to achieve it.

A Step Toward Technology

Mon, 30 Mar 2026 13:00:00 +0100

Growing old in Europe is not just about “having more years.” It also means having to navigate a world where access to rights, healthcare, and social connections increasingly happens through screens.
Technology is no longer background scenery. It has become a daily life tool… but also a factor of exclusion when poorly designed.

I. An ageing society

In France and across Europe, around 22% of the population is aged 65 or over (estimate as of January 1, 2026).

Everyday Chaos Engineering: Learning to Love the Wave

Tue, 24 Mar 2026 10:00:00 +0100

We all dream of a stable, predictable, “calm” system. And yet, the reality of a modern platform is a living sea: deployments, external dependencies, cloud quotas, flaky networks, traffic spikes, human error—and sometimes… just “something” that should never have happened.

Chaos engineering is often presented as a spectacular discipline—“we cut an AWS zone,” “we kill a cluster,” “we take Kafka down.” In real life (and especially in small teams), that’s neither necessary nor desirable at the beginning.

DevOps Cycle or a Misunderstanding of the Role?

Tue, 17 Mar 2026 11:00:00 +0100

Introduction

The term DevOps is frequently used to describe a heterogeneous set of topics: CI/CD, cloud, Kubernetes, security, observability, incident management, cost management, and more. This breadth of meanings creates a recurring confusion: an organization expresses a need for “DevOps” without specifying the expected value, the associated responsibilities, or the target operating model.

The outcome is well known: a succession of urgent periods, followed by automation initiatives, and then a gradual return to the same difficulties. This is often described as the “DevOps cycle.” In many cases, this cycle is not intrinsic to DevOps itself, but rather the indicator of a misunderstanding of the role: DevOps is used as a compensating function (support, firefighting, implicit ownership of production) instead of as a structuring organizational capability.

ADR (Architecture Decision Record): documenting decisions that matter

Tue, 10 Mar 2026 11:00:00 +0100

Engineering teams spend a lot of time discussing, arbitrating, choosing… and then forgetting why they made certain decisions.
The outcome is familiar:

the same debates come back every three months,
decisions get challenged without the original context,
onboarding depends on “the people who know,”
and unnecessary migrations are born from a simple loss of memory.

An ADR (Architecture Decision Record) exists to avoid that. It’s not a “big architecture doc,” nor a requirements spec: it’s a short note that captures an important decision, with just enough context to keep it understandable and reusable.

Working Remote: Freedom, Efficiency… and the Conditions for Success

Sat, 07 Mar 2026 10:00:00 +0100

Remote work has become a common topic, but it’s still often approached in a caricatured way:

“Remote = maximum productivity”
“Remote = isolation and loss of culture”

The truth is simpler: remote work amplifies what already exists. A well-organized team often becomes excellent. A fuzzy, unclear team becomes chaotic fast.

I. What remote work enables

1) More autonomy, fewer interruptions

On-site, you often deal with:

The Real Cost of a Bad CI Workflow: Cognitive Load

Wed, 25 Feb 2026 10:00:00 +0100

I. The Real Cost of a Bad CI Workflow: Cognitive Load

People talk a lot about CI pipeline performance.
We measure minutes.
We optimize caches.
We parallelize.

But the real cost of a bad CI workflow is not machine time.

It is cognitive load.

And it is far more expensive.

II. The Invisible Problem

An inefficient CI pipeline is visible:

AWS multi-accounts: architectural solution or disguised organizational debt?

Wed, 18 Feb 2026 17:30:00 +0100

I. Introduction

Creating multiple AWS accounts is now widely presented as a near-universal best practice.
It is often introduced through simple, console-oriented tutorials that give the impression that the problem boils down to a few clicks.

This view is misleading.

Multi-account is not an implementation detail, but a fundamental architectural choice.
It directly impacts:

how teams work,
how security is enforced,
cost visibility,
the ability to automate,
and organizational resilience to human error.

When misunderstood, it creates organizational debt just as costly as traditional technical debt.

Upgrading Your Computer Components: Method, Compatibility, Benchmarks… and Mistakes to Avoid

Wed, 11 Feb 2026 10:00:00 +0100

Upgrading Your Computer Components: Method, Compatibility, and Benchmarks

Upgrading your computer hardware often feels like a simple and logical process:
you identify what feels slow, buy a more powerful component, and install it.

In practice, many upgrades:

bring no noticeable performance gain,
introduce compatibility issues,
or simply move the problem elsewhere.

So how should you approach it properly?

Entering the Cloud: The Gates of Hell

Wed, 04 Feb 2026 09:10:00 +0100

Entering the cloud is rarely experienced as a simple infrastructure change.
For many organizations, it is a brutal—almost violent—break with their habits, tools, and mental models.

What was supposed to bring simplicity instead reveals a complexity that had long been hidden.
And this complexity is not only technical.

I. The Call of the Cloud

The cloud always begins with a seductive promise.

Latency: Understanding, Perceiving, and Mastering an Invisible Delay

Wed, 28 Jan 2026 09:00:00 +0100

Latency is one of those ubiquitous terms in computing, often used to explain a negative feeling — “it lags”, “it’s slow” — without its real meaning being clearly understood.
Yet latency is neither a bug nor a simple performance issue: it is a structural constraint of modern computer systems.

This article offers a comprehensive view of latency:

what it is from a general perspective,
its technical definition,
how it is perceived by users,
the trade-offs it imposes,
and above all, how to master it architecturally.

I. What Is Latency?

1. General definition

In its simplest sense, latency refers to the waiting time between an action and the system’s first reaction.

AI, Code, and Design: Why the Most Important Thing Hasn’t Changed

Wed, 21 Jan 2026 10:00:00 +0100

I. Introduction

AI-powered coding assistants are now capable of producing:

syntactically valid code,
working code,
and even a certain form of reasoning about code structure.

Faced with this, a legitimate question arises:
do we still need to learn how to code, or is it enough to learn design and leave the rest to AI?

This question lies at the heart of a video titled “The Skill That Separates Good Developers from GREAT Ones” by Emily Bache, which offers a nuanced answer deeply rooted in the fundamentals of software engineering.

Test-Driven Infrastructure: Applying TDD to Infrastructure as Code

Wed, 14 Jan 2026 13:45:30 +0200

Test-Driven Infrastructure

Applying TDD to Infrastructure as Code

Test-Driven Development (TDD) is now well established on the application side.
However, when it comes to infrastructure, many still consider TDD unnecessary, too complex, or unsuitable.

That is a mistake.

TDD applied to infrastructure already exists, often without being named as such. When properly understood, it becomes a major lever for securing, structuring, and evolving a cloud platform.

Developing with AI: What Changes, What Stays, and What Becomes Critical

Wed, 07 Jan 2026 10:00:00 +0100

I. Introduction

AI-powered coding assistants have profoundly changed developers’ day-to-day work.
They generate working code in seconds, propose complete implementations, and drastically reduce the time spent on repetitive tasks.

This evolution raises a central question:

If code can be produced easily, where does the developer’s value now lie?

To answer it, we must look not at what AI can do, but at what it does not take responsibility for.

“It’s slow”, “it lags”, “it bugs”: but in the end, what does it really mean?

Tue, 30 Dec 2025 10:00:00 +0100

Introduction

In a family, at work, or within a technical team, it is very common to hear: “it’s slow”, “it lags”, or “it bugs”. These expressions are often used interchangeably… wrongly. They mix together problems that actually have nothing to do with each other.

Understanding the difference between these three situations makes it possible to explain what is happening more clearly, to react more quickly, and above all to avoid bad solutions. A performance issue is not solved like a bug, and a bug never disappears just because the machine has been made more powerful.

Using Constants in TDD with Go

Tue, 23 Dec 2025 10:08:49 +0200

Best Practices, Pitfalls, and Design Signals

Test-Driven Development (TDD) is not only about writing tests.
Its primary purpose is to design software.

In Go, the use of constants is often misunderstood in TDD:

should they be exposed?
tested?
injected?
avoided?

This article proposes a pragmatic and idiomatic Go approach, based on real-world experience, to understand when a constant represents good design… and when it hides a deeper problem.

Interfaces, Functions and Modules in Go: Structuring Your Code for TDD Without Adding Unnecessary Complexity

Mon, 15 Dec 2025 10:08:49 +0200

I. Introduction

Go is a minimalist language, but this simplicity can sometimes make developers feel like something is “missing” — especially when dealing with more advanced architectures, Test-Driven Development, or the need to mock dependencies. Developers coming from Java, C#, or Python often ask the same questions:

Should I turn all my functions into structs + interfaces to test them?
How should I organize my packages to keep them modular and testable?
Where should interfaces live — in the provider or the consumer?
How do I isolate a package that only exports functions?
How does Go automatically detect signature changes?

II. Go’s Model: Simple, Modular, but Different

Unlike Java or C#, Go does not rely on inheritance, classes, or heavy dependency injection frameworks.

Consumer-Reported Dependency Health

Mon, 08 Dec 2025 11:18:06 +0200

I. Rethinking How We Evaluate the Health of Distributed Systems

In modern distributed architectures, a system’s health depends as much — if not more — on the state of its dependencies as on its own internal state. Yet most monitoring strategies still rely on synthetic or dedicated healthchecks: /health endpoints, liveness/readiness probes, external scripts, and similar mechanisms.

Why AWS Spot Instances Become Impossible to Get in December

Mon, 01 Dec 2025 17:08:49 +0200

I. Why AWS Spot Instances Become Impossible to Get in December

EC2 Spot Instances are a fantastic way to save 50–70% on your AWS compute costs.
They use the unused capacity of AWS data centers… but in December, this unused capacity almost completely disappears.

Result:

Auto Scaling Groups fail to launch new instances
deployments get stuck
“insufficient capacity” everywhere
Spot interruptions become much more frequent

If you’ve experienced this, rest assured: it’s not your fault, and not a configuration issue.
It’s a seasonal phenomenon, and it happens every single year.

Karpenter: The Intelligent Autoscaler for EKS

Mon, 24 Nov 2025 11:18:06 +0200

I. What is Karpenter?

Karpenter is an open-source autoscaler for Kubernetes, created by AWS.
Its purpose is to automatically adjust the EC2 node capacity of an EKS cluster based on real workload demand.

In short:

When your cluster is short on resources, Karpenter adds new nodes.
When nodes become unnecessary, it removes them.

But more importantly:

It does this faster, more intelligently, and more efficiently than Kubernetes’ traditional autoscaler (Cluster Autoscaler).

How to Handle Optional Parameters in Go

Sat, 15 Nov 2025 10:00:00 +0200

I. How to Handle Optional Parameters in Go

In most modern languages, you can define default values for function parameters or overload functions to cover various use cases.
Go, however, offers no optional parameters, no overloading, and no default values in function signatures.
Yet the needs remain the same: creating readable, stable APIs that can evolve without breaking users.

Landing Pages: definition, types and best practices to boost your conversions

Mon, 10 Nov 2025 14:00:00 +0200

I. Introduction

Today, any effective digital marketing strategy relies on a key element: the landing page.
Whether you want to sell a product, collect email leads or promote an event, these pages play a decisive role in turning visitors into customers.

In this article, we’ll look at what a landing page is, how to design one, where to promote it, and how to measure its performance.
At the end, you’ll also find a practical guide to create your own landing page for free with HubSpot.

The Essential SEO Glossary: Key Terms Explained Simply

Mon, 03 Nov 2025 16:00:00 +0200

SEO Glossary: Key Terms Explained Simply

Search Engine Optimization (SEO) is built on many technical, semantic, and strategic concepts.
This glossary helps you understand the key terms used by SEO experts and developers so you can better interpret reports, tools, and performance data.

A — C

Anchor Text

The clickable text of a hyperlink.
It helps search engines understand the context of the link.

GitHub Pages vs AWS S3: Which One to Choose for Hosting Your Static Website?

Tue, 28 Oct 2025 11:00:00 +0200

I. Introduction: Context and Challenges

In today’s web landscape, static websites (HTML/CSS/JS with no backend) are highly valued for their simplicity, speed, and minimal cost. Two main solutions lead the discussion for free or low-cost hosting: GitHub Pages and AWS S3.
This article compares the two approaches in terms of technology, cost, performance, and scalability to help you choose the one that best fits your needs.

The Fundamental Pillars of SEO: Semantic, Technical, and Authority

Tue, 21 Oct 2025 16:00:00 +0200

The Fundamental Pillars of SEO

Search Engine Optimization (SEO) rests on three inseparable pillars:

Semantic: content and its structure.
Technical: performance, security, and accessibility.
Authority: popularity, brand mentions, and inbound links (backlinks).

In 2025, these pillars are more complementary than ever: search engines continuously evaluate meaning, technical quality, and trust.

I. Semantic Pillar

The semantic pillar is the heart of your content strategy: precisely address search intent and make the topic clear for users and search engines alike.

SEO: What Are the Best Tools Available?

Tue, 21 Oct 2025 14:00:00 +0200

I. Recommended Tools: Technical Checklist

This list focuses on reliable, actively maintained tools that are widely used by SEO and product teams.
For each category, you’ll find its main purpose, what it measures, and when to use it.

1. Test Page Speed and Core Web Vitals

PageSpeed Insights:
Analyzes both real-user (field) and lab performance data, providing actionable recommendations.
Measures Core Web Vitals — INP, LCP, and CLS.
Use it to prioritize performance improvements on key pages (homepages, product pages, blog articles).

Case Study: SEO Analysis of Websites and the SERP

Tue, 14 Oct 2025 14:00:00 +0200

I. Introduction

After presenting the theoretical principles of how search engines work, it’s essential to move on to practice. Analyzing real cases helps explain how websites appear (or fail to appear) in the SERP depending on their technical optimization, content, and authority.

In this section, we focus on the theme of blogs, examining several sites ranked on Google. The goal is to highlight:

The Basics of SEO: How Search Engines Work

Tue, 07 Oct 2025 14:00:00 +0200

I. Introduction

In the world of modern web development, it’s no longer enough to build fast and well-structured websites — they also need to be visible. Whether you’re a frontend or backend developer, your technical choices can strengthen – or limit – how a site is crawled, indexed, and ranked by search engines.

SEO stands for Search Engine Optimization. It’s the set of techniques and practices aimed at improving a website’s visibility in search engine results. Although often seen as a marketing discipline, it largely relies on technical foundations that directly involve developers: code structure, performance, security, mobile accessibility, and structured data.

How to Host a Static Website for Free with AWS S3

Tue, 30 Sep 2025 14:00:00 +0200

I. Why Choose AWS S3 to Host a Static Website for Free?

Amazon S3 allows hosting of fully static websites (HTML, CSS, JavaScript).
With the AWS Free Tier, a small site can stay free for 12 months (up to 5 GB of storage, 20,000 GET requests & 2,000 PUT requests per month).
Highly resilient, scalable, and serverless, S3 provides 99.999999999% durability and handles traffic spikes effortlessly.
For HTTPS and custom domains, Amazon recommends using Amazon CloudFront + Route 53.

II. Prerequisites and Initial Setup

Create a bucket
Disable public access restrictions
Add a public access policy

Before deploying a static site with S3, basic configuration is required. Here’s the step-by-step setup:

How to Host a Static Website for Free with GitHub Pages

Tue, 23 Sep 2025 10:30:00 +0200

I. Why Choose GitHub Pages to Host a Static Website?

GitHub Pages is a free service provided by GitHub to host static-only websites (HTML, CSS, JavaScript), with no backend or dynamic server.
It is particularly well-suited for portfolios, project documentation, or simple blogs, especially for developers familiar with GitHub.
The service includes a free .github.io domain, supports custom domains, and has built-in HTTPS.
Limitations: max size ~1 GB, bandwidth ~100 GB/month, no support for PHP, databases, or other server-side languages.

II. Prerequisites and Initial Setup

Create a GitHub account (if you don’t already have one).
Create a public repository named USERNAME.github.io for a user or organization site, or a generic repository for a project site.
Add initial files like README.md or index.html.
Make sure GitHub Actions is enabled to allow build workflows (e.g., Jekyll generation).

Before deploying a static site with GitHub Pages, you need to configure the repository. Here’s how:

CSS Color Palette: How to Choose and Combine Colors Effectively

Tue, 16 Sep 2025 15:13:06 +0200

I. Why a Well-Thought CSS Color Palette Matters

A well-designed palette ensures visual consistency, reinforces brand identity, and provides a smooth user experience. It simplifies code maintenance, avoids redundant colors, and allows for easy theme adaptation (light/dark). Following best practices also enhances accessibility: sufficient contrast, and visual cues beyond just color.

II. Understanding CSS Color Formats (hex, RGB, HSL, keywords)

CSS offers several formats to define colors:

Amazon Macie: A Comprehensive Solution for Data Security and Privacy

Wed, 10 Sep 2025 08:00:00 +0200

I. Introduction to Amazon Macie

Amazon Macie is a fully managed data security service provided by AWS. It uses machine learning and pattern matching to automatically discover, classify, and protect sensitive data stored in Amazon S3. It provides risk visibility, generates findings when security or privacy issues are detected, and automates protective actions. A 30-day free trial is included for automated S3 bucket evaluation and data scanning.

Organizing Your Frontend Project: Clean and Simple Folder Structure

Fri, 05 Sep 2025 12:09:45 +0200

I. Why Organize Your Frontend Project?

When you’re starting with web development, it’s common to place all your files in one folder. However, good organization quickly becomes essential as the project grows, whether for:

Navigating your codebase easily.
Collaborating effectively with other developers.
Making maintenance and updates easier.
Saving time in the long run.

II. Recommended Structure for a Simple Project

Here’s a classic, clean structure for an HTML/CSS/JS project without a framework:

Introduction to Amazon Inspector

Wed, 03 Sep 2025 11:18:06 +0200

I. Overview of Amazon Inspector

Amazon Inspector is an automated vulnerability management service on AWS that automatically discovers workloads such as EC2 instances, container images in ECR, and Lambda functions, and continuously scans them for software vulnerabilities and unexpected network exposures.
It generates findings used to prioritize patches based on a contextualized risk score, which adapts the CVSS score according to the environment (e.g., absence of open ports).

AWS Containers

Fri, 29 Aug 2025 09:09:45 +0200

I. Introduction

Containers encapsulate an application and all its dependencies in an isolated and reproducible environment. Unlike virtual machines, containers share the host system’s kernel, making them lighter, faster to start, and easier to deploy.

This approach has revolutionized the software lifecycle by improving the portability of applications between environments (development, testing, production).

AWS offers several services to build, manage, orchestrate, and run containers. Each service fits a specific level of control, user expertise, or application type.

Report: Amazon GuardDuty Malware Protection for S3

Wed, 20 Aug 2025 10:09:45 +0200

I. What is Amazon GuardDuty?

Amazon GuardDuty is an AI-based security service that continuously monitors AWS accounts and workloads.
It uses machine learning algorithms to detect suspicious activities, abnormal behaviors, and potential threats in your cloud environment.
GuardDuty integrates seamlessly with other AWS services like S3, EC2, and IAM to provide a comprehensive view of your infrastructure’s security posture.
It also works alongside AWS CloudTrail and AWS Config to gather additional context and trigger automatic responses to threats.

Global Availability of EC2 Instance Types

Wed, 13 Aug 2025 07:57:39 +0200

I. Introduction

When designing infrastructure on AWS, one of the first technical decisions involves the EC2 instance types used. However, this decision cannot be made in isolation: the regional availability of instance types varies by geographic location, impacting your architecture’s resilience, scalability, and cost.

This article explains in detail how to understand and anticipate this global availability, with a clear approach directly applicable by developers, DevOps engineers, and data scientists.

Understanding the CSS Box Model

Mon, 04 Aug 2025 16:09:45 +0200

I. What is the CSS Box Model?

In CSS, every HTML element is treated as a rectangular box. This is called the box model.

The box model defines how an element’s total size is calculated, and how it interacts with surrounding elements.

An HTML element consists of 4 main areas:

+-------------------------------+
| margin (outer) |
| +-------------------------+ |
| | border (border) | |
| | +-------------------+ | |
| | | padding (space) | | |
| | | +---------------+ | | |
| | | | content | | | |
| | | +---------------+ | | |
| | +-------------------+ | |
| +-------------------------+ |
+-------------------------------+

II. The 4 Parts of the Box Model

1. `content`

The actual content of the element (text, image, button…).

Responsive vs Adaptive: Two Strategies, One Common Goal

Mon, 28 Jul 2025 12:14:54 +0200

I. Introduction

Responsive design and adaptive design are two widely used approaches to creating web interfaces that are accessible across a variety of devices. In a world where screen size diversity — from smartphones to 4K monitors — is the norm, understanding the differences between these strategies is essential for any frontend developer or designer. This article offers a clear, comparative, and well-documented overview of both methodologies, including concrete use cases and practical recommendations.

How to Build a Responsive Flutter Interface for the Web

Mon, 21 Jul 2025 12:30:00 +0200

I. Introduction

Flutter is known for its ability to produce cross-platform applications from a single codebase. While the framework was originally designed for mobile, its web capabilities have improved significantly. However, building a responsive web interface with Flutter requires a thoughtful approach tailored to multi-screen navigation constraints.

In this in-depth guide, we’ll explore:

Core best practices.
Key widgets and tools to master.
Code examples for each approach.
Common pitfalls and how to avoid them.

II. Understanding the Challenges of Responsive Flutter Design

Declarative Nature of Layouts

Flutter works differently from HTML/CSS:

Optimizing Flutter Performance: build(), keys, and const Widgets

Tue, 15 Jul 2025 09:24:42 +0200

This article proposes performance improvements by focusing on three fundamental aspects:

The build() cycle
Keys
Const widgets

I. The build() cycle: understanding to optimize

The build() process is at the core of rendering in Flutter. When a state changes or a widget is rebuilt, the build() method is called. Mismanaging this method can cause significant slowdowns.

A. When is build() triggered?

During the first widget creation.
When calling setState().
When a parent widget is rebuilt.

B. Techniques to reduce the build() impact

Use const in the constructor: Creates immutable instances.
Break down the build: Split the UI into subcomponents to reduce the impact zone.
Avoid heavy calculations in build(): Delegate tasks to pre-computed functions or separate methods.

Example: Optimization with subcomponents

Flutter & Redux: A Well-Organized Recipe with Dispatch

Sun, 22 Jun 2025 19:38:55 +0100

I. Introduction to Redux in Flutter

Inspired by the unidirectional data flow model, Redux allows you to centralize the application’s state and modify it through clear, predictable, and testable actions.

The core of Redux is based on three concepts:

Store: the global state.
Action: an event describing a change.
Reducer: a function that transforms the state based on the action.

The goal of this article is to understand how to use dispatch with Redux in Flutter, with a simple, educational, and rigorous approach.

Interview EC2

Mon, 09 Jun 2025 15:55:01 +0200

I. What is Amazon EC2 and what is it used for?

AWS Expert: Amazon EC2 (Elastic Compute Cloud) is an on-demand infrastructure service that allows you to launch virtual servers — called instances — in the cloud. It is used to host web applications, run data processing, serve as development environments, or simulate production loads.

What makes EC2 powerful is its scalability and flexibility. You can start with a small instance for testing, then scale up to high-capacity clusters without switching platforms. Developers also love the full control they get over configuration, open ports, attached disks, and more.

This is who IAM

Tue, 27 May 2025 15:33:47 +0200

I. IAM: Core Components and Concepts

IAM is based on entities and policies.

IAM Entities

Users: Represent people or applications. Example: a developer named “alice”.
Groups: Collections of users sharing the same permissions.
Roles: IAM entities that can be temporarily assumed by others. Ideal for federation or services like EC2 or Lambda.
Policies: JSON documents that define permissions attached to an entity.

Sample JSON Policy

{
 "Version": "2012-10-17",
 "Statement": [
 {
 "Effect": "Allow",
 "Action": "s3:ListBucket",
 "Resource": "arn:aws:s3:::example_bucket"
 }
 ]
}

This IAM policy allows an AWS entity (user, role, or group) to list the objects in a specific S3 bucket named example_bucket. It uses the standard IAM version format (2012-10-17) and allows the s3:ListBucket action on the resource identified by its ARN. It lets the entity see the list of objects (names, sizes, metadata), but not read or modify them—unless additional permissions are granted. This minimal policy is often used for inventory or bucket navigation via the AWS Console or API.

Flutter Hot Reload: Why Is It So Fast?

Mon, 19 May 2025 13:45:30 +0200

I. What Is Hot Reload in Flutter?

Hot reload is a Flutter feature that allows developers to quickly reload modified code in a running app without a full restart. This operation retains the current app state, unlike a traditional restart.

Key benefits:

Saves time when developing UIs.
Maintains state: ideal for testing changes without re-navigating.
Shorter development cycles.

Flutter supports hot reload thanks to the Dart engine architecture, which allows dynamic code injection into a running application.

Flutter for True Beginners: What It Is, What It’s For, and How to Try It

Mon, 12 May 2025 10:10:48 +0200

I. What is Flutter?

Flutter is an open-source framework developed by Google, designed to build native user interfaces for Android, iOS, Web, and desktop from a single codebase. It uses the Dart language and allows developers to build smooth, high-performance, and visually appealing apps.

Flutter stands out thanks to its integrated rendering engine and ability to display animations at 60 fps or higher. It doesn’t rely on native platform UI components, which ensures visual consistency across platforms.

3 Simple Ways to Save Up to 90% on EC2 Costs: Spot Instances

Fri, 02 May 2025 17:08:49 +0200

I. Introduction to Spot Instances

Amazon EC2 Spot Instances offer a powerful way to drastically reduce cloud computing costs. Designed to utilize unused Amazon EC2 capacity, these instances are available at a price up to 90% lower than On-Demand instances.

While these savings are appealing, Spot Instances are not suitable for all workloads. They are ideal for flexible, interruption-tolerant, or distributed jobs such as data processing, machine learning training, or performance testing.

A problem. Don’t panic, prepare a support ticket

Fri, 25 Apr 2025 13:10:00 +0100

I. Identify and Reproduce the Problem Precisely

Before contacting AWS Support, it’s crucial to clearly document the observed behavior. The goal is to enable the support team to quickly analyze the context. Start by identifying the service involved: EC2, S3, Lambda, or another component of your cloud infrastructure. Documenting an incident clearly is key to avoiding unnecessary back-and-forth.

Why and how to use Git submodules

Tue, 22 Apr 2025 10:00:00 +0100

I. Introduction to Git Submodules

Git submodules are a built-in feature that lets you include one Git repository inside another. This approach is useful when you need to manage dependencies between different codebases while keeping them autonomous.

Submodules point to a specific commit of an external repository. This ensures that every version of the main project uses exactly the same revision of its submodules, providing consistency and reproducibility.

Real-Time, Real-Easy: Deploying WebSockets

Mon, 21 Apr 2025 16:06:29 +0200

I. WebSocket Protocol Architecture and Workflow

Establishing a WebSocket involves an initial HTTP(S) handshake, followed by a protocol upgrade to WebSocket.

Main Steps:

Step	Description
1. HTTP Upgrade	The client sends an HTTP request with the `Upgrade: websocket` header.
2. Acceptance	The server validates the upgrade and switches to WebSocket mode.
3. Communication	Data is exchanged in frames, asynchronously and bidirectionally.

Example upgrade request:

Writing a Prompt: Technical Guide

Fri, 18 Apr 2025 11:02:00 +0100

I. Understanding What a Prompt Is in LangChain

In LangChain, a prompt is a textual structure designed to guide a language model. A well-constructed prompt includes several key components:

Instruction: What you explicitly ask the model to do.
Context: Additional information to frame the answer.
Input Data: The specific input provided at runtime.
Output Indicator: What kind of output is expected.

This format enables clear, framed, and reproducible queries.
Here’s another example using LangChain in Python with this structure:

Hallucinating with LangChain

Mon, 07 Apr 2025 09:22:00 +0100

I What is a hallucination?

A hallucination refers to a response generated by a language model that is factually incorrect, invented, or misinterprets reality. It can range from a minor inaccuracy to a completely fabricated citation or even a made-up technical or historical claim.

Example:

“Einstein discovered general relativity in 1975.”

That’s incorrect (it was in 1915), but the model might produce this kind of statement if it lacks the proper context or is too confident in its reasoning.

How to Count Tokens Effectively

Tue, 01 Apr 2025 17:52:00 +0100

I. What Is a Token?

A token is a unit of text that the model processes. It could be a full word, part of a word, or even a special character.

Concrete Examples

Text	Number of Tokens
Hello	1
I am a developer	4
Artificial intelligence is fascinating!	5
GPT is a powerful model.	6

Specifics of Tokenization

In English, short words are often 1 token (e.g., "Hello" = 1 token).
In French and other languages, longer words can be split into multiple tokens (e.g., "développeur" or "intelligence" = 2 tokens).
Punctuation also counts as tokens.
Spaces are included with the following word.
Acronyms are usually treated as 1 token.

On average, 100 tokens correspond to roughly 75 words, though this can vary depending on the language and writing style.

1000: The Magic Number in the World of LLMs

Wed, 26 Mar 2025 09:05:00 +0100

I. Chunk Size: Why ~1000 Tokens?

The default value of 1000 tokens per chunk is not arbitrary:

A chunk of this size generally contains enough information to remain semantically coherent without being too large.
It remains compatible with the context window of modern LLMs (4k, 8k, 32k, or even 1M tokens).
It helps avoid diluting meaning or breaking semantic units.

In some cases, other sizes may be more appropriate:

Introduction to AWS ELB

Sat, 15 Mar 2025 21:11:49 +0000

I. Introduction to Load Balancers in AWS

An Elastic Load Balancer (ELB) acts as a traffic distributor, automatically spreading incoming traffic across multiple target resources such as EC2 instances, containers, or IP addresses.

This functionality is a cornerstone of fault-tolerant and highly available cloud application design. AWS offers three types of ELB tailored to different use cases, each with specific features.

Amazon EventBridge vs Amazon SNS: Which Solution to Choose?

Tue, 11 Mar 2025 10:05:00 +0100

Introduction

In this article, we will compare these two services, explore their use cases, and see how to integrate them effectively into an AWS architecture.

I. Comparison of Amazon EventBridge vs Amazon SNS

Feature	Amazon EventBridge	Amazon SNS
Communication Type	Event-Driven	Publish-Subscribe (Pub/Sub)
Use Cases	Event routing between AWS services and SaaS applications	Sending notifications to subscribers (emails, SMS, Lambda, SQS, etc.)
Message Sources	AWS Services, SaaS applications, custom applications	Applications, users, AWS services
Targeting Consumers	Advanced filtering rules to send an event to one or multiple targets	Sends the same message to all topic subscribers
Supported Protocols	AWS Lambda, SQS, API Gateway, Kinesis, Step Functions, etc.	Emails, SMS, Lambda, SQS, HTTP(S) endpoints, mobile applications (FCM, APN)
Message Filtering	Advanced filtering based on JSON rules	Limited filtering based on message attributes
Architecture	Event-driven and integrates with other AWS services	Notification-based messaging between producers and consumers
Durability & Message Retention	No native storage (events are routed immediately)	Messages stored for 4 days (up to 14 days with Extended Retention)
Message Ordering	Not guaranteed (messages may arrive out of order)	FIFO ordering available with SNS FIFO

II. Detailed Use Cases

A. Amazon EventBridge Use Case: Orchestrating Events Between Services

EventBridge is ideal for connecting different AWS services and SaaS applications.

The 5 Must-Read Whitepapers

Sat, 01 Mar 2025 10:56:41 +0100

Prepare for Your First AWS Certification with These Essential Whitepapers

AWS whitepapers help you gain an in-depth understanding of best practices and cloud architectures. These free resources are invaluable for anyone looking to pass their certification exam successfully.

In this article, we introduce the key whitepapers for your preparation and explain how to use them effectively.

I. Why Read AWS Whitepapers?

AWS whitepapers are written by cloud experts and provide practical guidance on designing, managing, and securing AWS infrastructures. They cover topics ranging from general architecture principles to performance and security best practices. Reading these documents allows you to deepen your knowledge beyond simple tutorials and better understand the requirements of AWS fundamental or associate-level exams.

Reverse

Tue, 25 Feb 2025 00:00:00 +0000

Visualization tool. Triggering a scan to generate IaC for AWS. Infrastructure History.

How to Filter S3 Events by Object Size?

Tue, 18 Feb 2025 17:16:31 +0100

I. When Do You Need to Filter S3 Events by Object Size?

Filtering S3 events by object size is useful in various scenarios, especially when triggered actions depend on file volume. Here are some concrete use cases where this filtering is relevant:

1. Cost Optimization and Storage Management

Automatically deleting oversized files: Prevents the accumulation of unnecessary files that take up space and generate extra costs.
Automatically moving files to lower-cost storage (e.g., Glacier) when they exceed a certain size.

2. Process Automation

Executing a specific process on large files (e.g., video/audio conversion, compression, splitting large files into smaller chunks).
Triggering a Lambda function to index only relevant files based on their size.

3. Security and Compliance

Avoiding the storage of excessively large files in public buckets, which could lead to abuse (e.g., uploading large archives by malicious users).
Triggering an alert or blocking uploads if a user exceeds a defined size limit.

4. Data Flow Optimization

Directing small files to real-time processing (Lambda, Kinesis) and larger files to batch processing to optimize system efficiency.
Redirecting files based on their size to different buckets (e.g., files < 1MB to a high-speed access bucket, files > 100MB to cold storage).

5. Monitoring and Reporting

Generating reports on storage usage by filtering objects exceeding a critical size.
Detecting anomalies, such as sudden uploads of very large files, which could indicate an issue (e.g., massive log errors, data leaks, etc.).

II. How to Filter S3 Events by Object Size? c3 Methods

1. Filtering via AWS EventBridge and AWS Lambda

AWS S3 sends events to EventBridge or an AWS Lambda function. Unfortunately, EventBridge rules do not directly allow filtering by object size. However, you can configure an AWS Lambda function to process events and apply filtering based on size.

What is a Bundle? Understanding the Concept

Mon, 03 Feb 2025 10:00:00 +0100

The term “bundle” is widely used in web development and DevOps. It refers to a grouping of files, resources, or elements to simplify their management and improve performance.

However, a bundle does not have the same meaning everywhere. In this article, we will explore its different uses in three key areas:

Hugo (static site generator)
CSS & JavaScript (front-end development)
DevOps (Docker, Kubernetes, Helm, etc.)

1. Bundle in Hugo: Organizing Files Smartly

In Hugo, a bundle is a folder containing a page and its associated resources (images, JSON files, etc.). There are two types of Page Bundles:

Demystifying AWS KMS

Sun, 19 Jan 2025 09:56:41 +0100

I. Introduction to AWS KMS

A. What is AWS KMS?

AWS KMS, short for Key Management Service, is a fully managed service designed to simplify the creation, management, and control of encryption keys. Everytime encryption is mentioned in AWS services like EBS, S3, RDS, or SSM, AWS KMS is probably involved. This service integrates seamlessly with IAM and, of course, it also ensures robust access control and auditing through CloudTrail.

A Brief History of AWS Architectures

Fri, 20 Dec 2024 09:56:41 +0100

I. The Early Days of AWS and Cloud Computing (2002 - 2006)

Context: The Origin of the AWS Project

Before AWS became a cloud giant, Amazon.com (the e-commerce site) had to manage a massive IT infrastructure to support its rapid growth. The company invested in expensive data centers and had to anticipate server capacity for peak traffic periods (such as Black Friday). However, much of this capacity remained unused outside of high-demand periods.

Learn AWS by Yourself? 10 Services to Know

Wed, 20 Nov 2024 09:56:41 +0100

Here are the 10 essential services to master to fully leverage AWS.

1. IAM (Identity and Access Management)

IAM is the AWS service that allows you to manage access to your account’s resources. It plays a crucial role in security by controlling who can do what on your cloud infrastructure. With IAM, you can create individual users or group multiple users into groups. You can also define roles that allow other AWS services to interact with each other.

Mon, 01 Jan 0001 00:00:00 +0000