Forem: Aniket Mishra

We Built HookRadar: An Open Source Webhook Tester for Faster Debugging

Aniket Mishra — Sat, 07 Mar 2026 14:38:19 +0000

We Built HookRadar: An Open Source Webhook Tester for Faster Debugging

If you have ever worked with webhooks, you already know the frustrating part is not sending requests.

It is receiving them.

Everything looks fine until Stripe, Razorpay, GitHub, Slack, or some other service has to send data back to your local app. And then the usual problems start: localhost is not publicly reachable, debugging is messy, request payloads are hard to inspect, and reproducing failures takes more time than it should.

That exact pain is why we built HookRadar.

Live Demo and GitHub

Live App: https://hookradar.up.railway.app
GitHub: https://github.com/aniketmishra-0/Hookradar

Why we built it

We wanted a tool that could do a few things well:

create instant webhook endpoints
show incoming requests in real time
help inspect payloads properly
replay failed requests
support forwarding to local or staging environments
stay open source and self-hostable

A lot of existing tools are useful, but we wanted something we could run ourselves, extend, and keep simple.

What HookRadar does

HookRadar is an open-source webhook tester and debugger.

With it, you can:

generate unique webhook URLs
see incoming requests live
inspect headers, query params, body, IP, and response details
replay captured requests to another URL
auto-forward webhooks to your own server
customize status codes, headers, response body, and delay
filter request history
use a CLI for terminal-based workflows
self-host it with Docker

The goal was straightforward: make webhook debugging less painful and more visible.

What we used to build it

We kept the stack simple:

React 19 + Vite for the frontend
Node.js + Express for the backend
WebSockets for live request updates
SQLite for persistent storage

We also added an offline webhook analysis layer that can help detect common sources and flag validation or security issues.

What makes it useful in practice

The biggest difference is feedback speed.

As soon as a webhook hits an endpoint, it shows up in the dashboard immediately. You can open the request, inspect the payload, and reproduce it without switching between a bunch of tools.

That matters a lot when you are debugging:

payment events
GitHub webhooks
Slack integrations
Shopify events
internal automations
staging or QA environments

We also built a CLI because sometimes opening another browser tab is unnecessary. In many cases, listening to requests from the terminal is faster.

Example workflow

Create an endpoint, send a request, and inspect it:


bash
npm install
npm run dev

curl -X POST http://localhost:3001/hook/YOUR_SLUG \
  -H "Content-Type: application/json" \
  -d '{"event":"payment.completed","amount":99.99}'

15 In-Demand Cybersecurity Courses

Aniket Mishra — Fri, 19 Nov 2021 11:44:27 +0000

Subscribe My channel

YouTube

1-Practical Cyber Threat Intelligence

2-Fundamental of Networking Concepts, Protocols, and Security

3-Applied Python for Professionals

4-Beginners Guide to NMAP and Zenmap

5-Securing Your Network from Attacks

6-Windows Penetration Testing Essentials

7-OSINT - Open-source Intelligence

8-Session Hijacking and Prevention Techniques

9-Shell Scripting with Bash

10-Reverse Engineering Part – 1

11-Reverse Engineering Part – 2

12-Build Microservices with Spring Cloud and Spring Boot

13-5G Security Deconstructed

14-Exploitation with Kali

15-OSINT Level 2

16-OWASP Top 10 Security Fundamentals (LIMITED-TIME BONUS)

17-Mastering Database Reconnaissance and Exploitation (LIMITED-TIME BONUS)

18-How to succeed in a Data Protection Officer Role (LIMITED-TIME BONUS)

My favourite DevOps & cloud native tools By Civo

Aniket Mishra — Wed, 17 Nov 2021 15:06:25 +0000

Hello everyone,

since I have been working in the DevOps space for a year now, I thought that it would be interesting to create an overview of my favourite cloud native tool. This is a list of tools that I either currently use or got to use within the previous year.

I would love to hear from you about your favourite tools — and if I don't know them yet, I might create an overview video so please do reach out.

All tools are divided by category — now there are maybe some tools that I have not thought of and will later on. Thus, this blog post will likely be a live update of my favourite tools.

If you prefer the video version of this post, here is the accompanying YouTube video:

CI/CD pipelines

The CI/CD pipeline tool that you choose to use, either for your personal development needs or for your business, will highly depend on the version control system that you are already using and the resources that you have available. For instance, if you are already using GitLab, it makes sense to utilise the GitLab ecosystem. Similarly, when you are using GitHub, the GitHub ecosystem will likely be your preferred choice.

When I started working in the cloud native ecosystem, I was first introduced to Codefresh. Codefresh is a really nice platform that is easy to use and will allow you to cover complex use cases while getting comprehensive insights into your deployments. However, I would argue that for most companies it is going to be an overkill and you would not actually need most of their features. Codefresh provides DevOps specific tools and Dashboards to provide you with additional insights into your deployments. Their platform is constantly evolving and not all features might be supported at the same level. Similarly, you have a chance to get access to an innovative platform that provides you with additional GitOps specific functionality. This is something that you are less likely to find on conventional platforms.

Other than Codefresh, I have worked with GitHub Actions and GitLab CI. For most teams, I would argue that both provide enough functionality to aut7omate your deployments. In this case, I would make it dependent on where your project is hosted. With GitHub Actions, you will have a lot more community supports.

For further information, have a look at this video I made providing an overview of GitHub Actions.

Introduction to GitHub Actions

Observability

I really really love using Grafana. It takes some time to get started and use it to its "best". However, once you figure out how to set up new dashboards for your data, it allows you to filter your metrics for the data that is useful for your application.

Below is a gif from this examples tutorial on Katacoda that Bartek and I created a while ago. Try it out yourself! The link to the Katacoda tutorial is in the description of the repository.

Furthermore, Grafana launched on-call functionality alongside other highly requested features during ObservabilityCON (8th to 10th of November). This, alongside Grafana alerts and other features, makes Grafana the go-to-tool for all things monitoring and observability that you can no longer live without.

Kubernetes Provider

I am highly biased here since I am working for Civo. However, if your main interest is Kubernetes clusters and you are looking for a managed solution, Civo has the best user experience. It is really easy to get started with AND your cloud bill will stay low. Many companies are already using Civo in production and you can get started too. Everything that can be built on k8s clusters can also be built on Civo k3s clusters.

Civo Cloud Kubernetes Overview

For further information, have a look at this video I made providing an overview of Civo.

Note that with the Prometheus operator on the marketplace, you can spin up your entire observability stack, including Prometheus and Grafana, alongside your Kubernetes cluster in just a few minutes.

Kubernetes Configurations and Policy

I have talked about Datree a lot before — first of all, because you get it practically for free. Secondly, Kubernetes is difficult and Datree is THE tool that can make it a little bit easier for you to get started by checking your Kubernetes Manifests for any misconfiguration that might have been introduced. You can set policies and even customise policies to fit your application needs.

For further information, have a look at this video I made providing an overview of Datree.

Verify Kubernetes Deployments with Datree

Infrastructure

I work with Terraform on a daily basis for the past 6 months. The documentation is great. Once you have figured out a flow for your infrastructure setup and deployments, you will basically do the same thing every time you deploy new tools or you introduce any updates. Automating your testing and deployment process can help you save a lot of time in the long term.

This video shows a simplified version of the flow that we have in place at Civo. If you are interested in what the use of Terraform may look like in production, then have a look at this Civo meetup recording.

Full Tutorial: Deploying Helm Charts in Kubernetes with Terraform

Cloud Native to the extreme

Those of you who already know me are aware of my constant involvement with Crossplane and how much I like to showcase its use. I've also had the chance to create the Civo-Crossplane provider — so, if you are already using Civo, you might want to have a look at Crossplane on how you can optimise your cloud native infrastructure management. Overall, I like Crossplane because it allows me to show how far cloud native resource management can go. Crossplane helps you to manage your infrastructure as Kubernetes resources, spin up and reconcile infrastructure like you would manage any other Kubernetes resources. If this got you curious, have a look at this overview video:

Tutorial Using Crossplane to Setup Your Azure Kubernetes Service: Day 25 of #100DaysOfKubernetes

Security

Aqua Sec has several open source tools that allow you to scan your cloud native deployments for vulnerabilities. I am just getting started with Security-related tools. However, if this is something you are interested in, I would suggest having a look at Aqua Sec or Falco. (Maybe I will write a separate blog post about using their tools).

FYI

You might wonder why I am not including any "developer platforms". Hereby, I mean platforms that allow you to deploy containers on Kubernetes clusters with minimum effort. I have a very strong opinion on "end-to-end" platforms. If you would like to hear it, please do let me know and I am happy to make a separate video about it. However, this would detract from the tools that I have outlined in this post.

Summarising
The CNCF landscape is massive and as you can imagine, there is always "yet another tool to explore". Thus, this list will likely change over the next months or years. Maybe at some point, I will redo it completely. Until then, I hope this gave you some insights into the tools that I like to use (some of them on a daily basis) and the tools that I would generally recommend.

Free Learning Resources

Aniket Mishra — Tue, 16 Nov 2021 04:13:25 +0000

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Microsoft Learn Student Ambassador Program

Aniket Mishra — Tue, 16 Nov 2021 03:37:01 +0000

What Is Microsoft Learn Student Ambassadors Program?

Microsoft Learn Student Ambassador program is aimed at bringing students all over the world who has interest in technology together. These students get the opportunity to connect and interact with others on topics they are passionate about (mostly Microsoft Technologies). Also, they are able to organize events to teach each other various tech stacks.

Application Requirements

You must be 16 years or older.
You must be enrolled in an accredited academic institution(eg: college, university).
You must not be a Microsoft or Government employee.
You need to at least have some basic knowledge in coding.

Why Should You Join?

There are a lot of benefits for joining this amazing program. A few of them are listed below:

Free Swag Box from Microsoft
Access to Microsoft 365
Access to TechSmith products(i.e Camtasia and Snagit)
Name.com voucher
Azure credits
LinkedIn Learning Voucher
Free access to one or more Microsoft Certification voucher and more.
NOTE: Some of these benefits are given to you based on the milestone you have achieved.

Apply Here

To apply, Use this Link: Apply for MLSA

I hope that this was helpful to you. If you have any questions, please drop it in the comment section below and I will make sure to answer all questions you have. Also, you can connect with me on:
Twitter
LinkedIn