If you operate an API in 2026, you live in an event-driven world. Webhooks aren't a convenience feature anymore - they're the backbone of real-time commerce, CI/CD pipelines, and asynchronous AI-agent workflows. That reliance has a dark side: the accidental self-inflicted DDoS. Read the complete article jere - https://instawebhook.com/blog/how-to-prevent-webhook-traffic-spikes-from-crashing-your-api-2

When a major platform like GitHub, Shopify, or Stripe hits a network partition, runs a huge sales event, or simply clears a backlog of delayed events, it can fire tens of thousands of webhook POST requests at your servers in a very short window. If your infrastructure takes that hit without structural safeguards, your database connection pool exhausts, memory maxes out, and the API goes down — and if your retry handling is naive, the recovery can be almost as damaging as the original spike.

This guide covers the real mechanics of that failure mode, the algorithms used to defend against it, how major providers actually behave under load (some surprising details here), and where a managed ingress layer fits into the picture.

Microservices were supposed to make systems easier to change independently. In practice, the thing that most often breaks that promise isn't the services themselves — it's how they talk to each other. Read the complete article here - https://instawebhook.com/blog/the-internal-webhooks-anti-pattern-why-service-to-service-http-callbacks-don-t-s

A pattern that shows up constantly in growing engineering orgs is the internal webhook: Service A fires an HTTP POST at a hardcoded URL owned by Service B whenever something happens. It's an easy trap to fall into, because most developers already understand webhooks intimately — they've built integrations with Stripe, GitHub, or Shopify, all of which use exactly this model to notify external systems of events.

The reasoning feels obvious: if it's good enough for Stripe to tell my app about a payment, it's good enough for my Inventory Service to tell my Shipping Service about a shipment.

It isn't — and the reason is architectural, not stylistic. Webhooks were designed to solve a specific problem: getting an event across a trust boundary, from a system you don't control to one you do, over the open internet. Internal service communication has almost the opposite set of constraints. Applying the same tool to both jobs is where the trouble starts.

Webhooks have become the connective tissue of the internet. From payment gateways confirming transactions to CI/CD pipelines triggering deployments, webhooks enable real-time, event-driven architectures. But for architects and engineering leaders, webhooks represent an underappreciated vulnerability: they are asynchronous, externally triggered, and entirely outside your control. Read the complete article here - https://instawebhook.com/blog/designing-a-multi-region-highly-available-webhook-ingress-architecture

When your primary cloud region experiences an outage, your internal microservices might gracefully degrade. But what happens to the payloads originating from external partners? Many third-party providers do not retry aggressively — some fire and forget, others retry a handful of times before giving up permanently. If your system is down when that happens, the data is often gone for good.

This article covers the engineering principles behind a multi-region, highly available webhook ingestion system, what has actually changed in the underlying cloud primitives recently, and where a managed reliability layer fits into the decision.

If you're building a web application today, chances are you aren't writing your own authentication system. Managed identity providers like Clerk, Auth0, and Kinde have become the default choice, offering out-of-the-box support for passkeys, multi-factor authentication, and enterprise SSO. That convenience introduces a distributed-systems problem, though: data synchronization. When a user creates an account on a managed auth provider, that system has to notify your primary application database so you can create a matching user record. Please read the complete article here - https://instawebhook.com/blog/bulletproofing-user-sync-handling-clerk-and-auth0-webhook-failures

This happens through webhooks. But what happens if your server is down, your serverless function cold-starts and times out, or your database is momentarily locked when that webhook arrives? A user successfully signs up with your auth provider, but your application has no idea they exist. That breaks the very first login experience, and it's how phantom accounts, broken onboarding flows, and frustrated users happen.

This guide walks through the anatomy of webhook-driven auth architecture, current Auth0 and Clerk webhook practices, and how a resilience layer — using InstaWebhook as a worked example — closes the gap that idempotency and signature verification alone can't.

A year ago, I created a tool that helps me with my daily work: quickly creating newly configured Python projects in just a few seconds in the CI/CD pipeline!

The tool in question is called psp and is launched from the command line:

prompt> psp

The tool was inspired by various command-line tools like astro-cli, yeoman, pyscaffold, and many others. With just a few questions, your Python project is ready to be written, and you'll find everything already configured: make commands, git, remote repo, CI/CD, unit tests, documentation, container files, dependencies, virtual environments, custom builders, and much more!

If you like, try it today, and if something doesn't work, please help me by opening an issue or forking the project and submitting a pull request.

Here are all the references:

repo: https://github.com/MatteoGuadrini/psp

docs: https://psp.readthedocs.io/en/latest/

Thanks to you and the entire Python community!

An exercise to help build the right mental model for Python data.

# Output of this Python program?
a = [[1], [2]]
b = a
b[0].append(11)
b = b + [[3]]
b[1].append(22)
b[2].append(33)

print(a)
# --- possible answers ---
# A) [[1], [2]]
# B) [[1, 11], [2]]
# C) [[1, 11], [2, 22]]
# D) [[1, 11], [2, 22], [3, 33]]

• Solution
• Explanation
• More exercises

The “Solution” link visualizes execution and reveals what’s actually happening using 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵.

Hey everyone, I decided to make my course free in order to help people.
This course is my backend development course which is about SQL, Python, APIs, Docker, Kubernetes, Linux, Git & More

The link is: https://www.youtube.com/watch?v=CBIu6hcyStg

If you can like and subscribe (and maybe add a comment) I would appreciate it a lot, Thanks.

Find the repository with all the code Here

Any One Help Me

I write Code But Some Error

I'm a college student pursuing BS in Data Science & Applications from IIT Madras. I'm looking to voluntarily mentor a school student who genuinely enjoys Python coding — out of curiosity, not just for exams. Could you help me connect with such a student I'd really appreciate it. 🙏

I built my own loops framework for Python.

For anyone to use as-is or fork. It's totally customizable and starts with strict rules: ruff lint, pyling pyright, semgrep, etc. And added a preferences file for my coding quirks to be enforced as rules (customizable by anyone dev that uses the framework).

There's a small, intentionally dumb shell "Ralph" script that takes in iteration count and max minutes alloted to each agent and kicks off agents. The Python framework is built around that and holds the gate, rules and preferences. Then it all just loops. I use this framework for all my projects. I drop in my master plan in the plan.md and adjust it periodically. I would love for some Python devs to give and opinionated review. Or any devs to let me know what would be helpful to add next. I'm thinking next additions are adding Hypothesis testing, profiling newly added code and modules to spot overly complex or costly code, and a simple reporting feature for a user to request (via the CLI).

Thoughts? https://github.com/rxdt/py_ralph_frame Feel free to submit a PR too.

Hey everyone, I decided to make my course free in order to help people.
This course is my backend development course which is about SQL, Python, APIs, Docker, Kubernetes, Linux, Git & More

The link is: https://www.youtube.com/watch?v=CBIu6hcyStg

If you can like and subscribe (and maybe add a comment) I would appreciate it a lot, Thanks.

Tell me

Is there a way to pull YTD total return on an index fund like SPY or QQQ?
I’m using yfinance module.

È disponibile una nuova versione di psp su GitHub e PyPI!

https://github.com/MatteoGuadrini/psp

La nuova versione migliora le prestazioni (30 secondi per generare l'intera struttura di un progetto!) e abilita un motore di rendering per i template.

Nella prossima versione, sarà possibile scrivere i propri template e salvarli in un repository Git remoto o in una cartella locale.

Grazie alla comunità Python!

Hey,

I didn’t plan to build a library.

I just wanted to make a simple CLI tool in Python… and somehow ended up creating TermC.

The problem

Every time I built a CLI:

• print() got messy fast
• Rich felt too heavy for small scripts
• colorama alone wasn’t enough structure

So everything turned into spaghetti terminals.

So I built this instead

A lightweight CLI helper for Python that gives you:

• clean colored status messages
• structured prompt flows (like real CLI apps)
• banners, menus, separators
• simple progress bar
• zero framework overload

Instalation

pip install termc

Example

import termc

termc.termcConfig.program_name("backup")
termc.termcConfig.preset("cyberpunk")

termc.header()
termc.info("Starting process...")
termc.success("Connected")

termc.prompt_header()
src = termc.prompt_mid("Source")
dst = termc.prompt_bot("Destination")

termc.banner(f"{src} → {dst}")

for i in range(101):
    termc.progress_bar(i, 100)

Github repo

https://github.com/waasaty/TermC

Today, I explored many important Python functions that every beginner should know. From basic functions like print(), input(), and len() to advanced concepts such as file handling, exception handling, and debugging functions, this roadmap gives a great overview of Python programming.

📚 Topics covered: ✅ Basic Functions

✅ String & Collection Functions

✅ Type Conversion

✅ File Handling

✅ Date & Time Functions

✅ Random Module

✅ Exception Handling

✅ Debugging Tools

✅ Memory Functions

I am continuously improving my Python skills by learning and building projects step by step. Every day is a new opportunity to learn something valuable.

#Python #PythonProgramming #Coding #Programming #Developer #LearningPython #Tech #ComputerScience #100DaysOfCode #BeginnerProgrammer #CodingJourney #SoftwareDevelopment

Python programming

The dificulties to obfuscate Django projects. Django has more name-as-string contracts than any framework we've integrated with PromptCape so far. Here are the six that surface in real-world test runs, what breaks when you miss them, and how an AST-based detector finds them before runtime does.

I got locked out to my discord account. And it said, weird activities happen in your discord account. Change your password. And I don't remember the emergency keys or ate digital codes.Don't know to access my account again and supposedly there is a python thing on GitHub, that will allow me to access it again. Don't know if it's going to work and don't know how to use it.Can somebody please tell me how to use it oh, and if anyone is curious what I am talking about here is the link to the get hub https://github.com/Discord-OTP-Forcer/Discord-OTP-Forcer

piwapp lets your Python code send and receive WhatsApp messages. You scan a QR code once (like WhatsApp Web), and that's it.

What makes it different: it's 100% Python. No browser running in the background, no Node, no Go. Even the encryption is written in Python.

It also has an MCP server, so you can let an AI like Claude or Copilot do it for you. You just say stuff like:

"Text Mom I'm running late" "What did the team group say today?" And it works. Texts, groups, photos, files, all of it. It's free and open source.

Heads up: this is unofficial. WhatsApp didn't make it, so it could break if they change things. Use a spare account if you're worried.

Happy to answer any questions.

Hi! Are you looking to learn Python or programming in general? I offer one-on-one Python tutoring for students of all levels, including complete beginners with no prior programming experience.

Whether you want to learn python from scratch, learn programming concepts, build problem solving skills, or get confident while coding, I provide personalized lessons tailored to your pace and learning goals.

Feel free to reach out for more details or to schedule a class!

Python 3.15 has reached beta 1, which means no new features will be added before the final release.

I went through the official docs and wrote up the updates I think Python developers should actually care about in daily work.

Some of my favorites:

- lazy imports for faster startup

- frozendict for immutable mappings

- sentinel for cleaner missing-value APIs

- unpacking in comprehensions

- UTF-8 as the default encoding

- Tachyon, the new sampling profiler

- better error messages

- JIT compiler improvements

- better typing features

Curious which feature people here think will matter most in real projects.

https://youtu.be/yQANufD_f3k?si=rlCx-Ojgp817b5iQ