kwatch VS ddosify

We're working on SAAS version of kwatch that provides User interface, optimized notifications, more details about crashes, and more.

In this article you will learn how to setup and deploy kwatch in your Kubernetes (K8s) cluster to monitor and receive real time crash alerts through PagerDuty

After deploying you will get notified on the channel that kwatch has started successfully. Now, kwatch is monitoring your apps!

DDosify: https://github.com/ddosify/ddosify

We are thrilled to announce the release of Ddosify Self-Hosted on GitHub today. Unlike the Ddosify Engine, this version features a No-code UI and supports distributed traffic generation.

Ddosify is built with ease of use and flexibility in mind, and it supports popular web protocols. It allows you to define and customize test scenarios, generate realistic loads, and monitor performance metrics in real time.

We have organized this write-up into two parts to demonstrate two different features of Ddosify. In the first part, we will perform a load test on a GET endpoint that accepts base and target currency and returns their exchange rate of them. The rand() utility method is used to send different currencies on each request. In the second part, we will test a POST endpoint that performs exchange operations. We will use a CSV file that contains test data stored on our Test App's Database. Then we import this CSV file into Ddosify to replay the same transactions stored on DB, but in high concurrency. In both parts, we will gain insights into the reliability of our exchange API across high traffic.