33 posts tagged with "devops"

What is better Vercel or GitHub pages in terms of customization and settings​

If you're at a point where you want to build a site that goes beyond just a portfolio or a blog-something you might monetize, track analytics on, add dynamic features to, or even scale up into something bigger-it's important to choose your hosting platform wisely. GitHub Pages and Vercel are both wildly popular options, but they offer fundamentally different experiences once you want to do more than just put HTML online.

Writing documentation is essential, but code examples in documentation frequently rot over time as codebases evolve. Python's built-in doctest module solves this problem by allowing you to write executable code examples directly inside your docstrings. The system verifies that the actual function output matches your documented example output.

By combining doctest (for living documentation correctness) and pytest (as your primary test runner), you get a symbiotic testing strategy that guarantees your code works and your documentation is always truthful.

This guide covers when to use doctests, how to write them, the various ways to execute them, and how to optimize your developer workflow in VS Code and Gitpod.

We're constantly striving for higher quality, faster delivery, and closer collaboration. In the realm of API development, where contracts and interactions are paramount, these goals often feel like a constant uphill battle. This is where Behavior-Driven Development (BDD) emerges not just as a testing methodology, but as a powerful paradigm for designing, developing, and validating robust Python API systems.

We've all seen projects spiral when API design is an afterthought. It's a common trap: dive straight into coding, then realize downstream that your API is clunky, inconsistent, and a nightmare to integrate with. This is precisely why the Design-First (API-First) paradigm isn't just a buzzword; it's a critical methodology for building scalable, maintainable, and truly collaborative API systems, especially within the Python ecosystem.

Not only Shift-Left mantra matters​

The mantra of "Shift Left" has echoed through the halls of software development for years now, and for good reason. The core idea is simple yet powerful: move testing, quality, and security considerations as early as possible in the development lifecycle. It's about catching problems when they're small and cheap to fix, not when they're gargantuan headaches in production. But as a lead engineer who's seen a few projects through the trenches, I've come to realize that "Shift Left" isn't the destination; it's the starting point.

To truly build robust, maintainable, and high-quality software, especially in a dynamic language like Python, we need to embrace a set of development paradigms that not only support but enhance the "Shift Left" philosophy. These aren't just buzzwords; they are methodologies that, when adopted, fundamentally change how we approach writing code for the better.

The NoRegionError in Boto3, the AWS SDK for Python, usually occurs when the AWS client or resource is initialized without specifying a region, and no default region is set in your AWS configuration.

In modern software engineering, the phrase "shift left" has transitioned from DevOps terminology to a core development philosophy. Rather than representing a tool or a command-line utility, shifting left is an architectural mindset.

Whether you are writing Python or building complex distributed services, understanding this approach will help you build reliable systems, discover bugs earlier, and shorten deployment cycles.

This guide explains the Shift Left model, demonstrates how to apply it in Python projects, and explores other development paradigms that complement it.

Before diving into Shift Left, which emphasizes catching bugs, performance, and security issues early in the software development lifecycle, it's important for new programmers to learn the foundational paradigms that support this philosophy.

These paradigms teach early thinking, good code hygiene, and automation - all of which are building blocks of effective software engineering.

Ubuntu, like other Debian-based systems, uses .deb files as the standard package format. While most software is installed via apt or the Ubuntu Software Center, sometimes you may need to install software manually using a .deb file you downloaded from a website or built yourself.

In this article, we'll cover how to install .deb packages using the GUI and command line, how to resolve dependencies, and best practices for safe installation.

Processing media files inside AWS Lambda can be a challenge due to its resource limits, lack of a local disk, and timeouts. However, it's entirely possible to stream files directly from S3 into FFmpeg, process them on the fly, and avoid writing anything to disk.

In this guide, we'll cover:

• Streaming files from S3 into Lambda
• Using ffmpeg with stdin and stdout in memory
• Avoiding /tmp bottlenecks
• Examples and production-ready patterns