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      • Automations
        • Python
        • Kubernates, garafana, promethus, postman Linux agents,Load testingPerformance testingScaling test
        • Form Filling, asserting page objects, screen-shot capturing, user-interactivity cases - Headless Chrome automation with Selenium
        • Shell, killerkoda, docker, kubernates, remote vs-code
        • Pytest (Flask backend automation),gitlab,docker-compose, Traefik
        • Playwright,Typescript, Nodejs, express, gitlab, docker, swagger
        • Shell,C, Python, Linux / Ubuntu OS Runtime,Docker, Github actions
        • Selenium Resources
        • Application Security
        • Gettings all images over a webpage
        • Open Source and Closed Source AI Agents
        • OpenAI chat APIs integration with React App
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        SW Automation Testing

        Python

        My Python Scripting

        Kubernates, garafana, promethus, postman Linux agents,Load testingPerformance testingScaling test

        This automates the functional verification using postman and flow to deploy an app mock metrics which will generate a count at /metrics. These metrics will be scraped by Prometheus, With the help of k8is-Promethus- Automation creates APIService custom.metrics.k8s.io, which then will be utilized by HPA to scale the deployment of mock metrics app (increase number of replicas).This automation is the base-template and can be extended orchestrate the environment and metric reporting for the following settings.Load testingPerformance testingScaling test

        Form Filling, asserting page objects, screen-shot capturing, user-interactivity cases - Headless Chrome automation with Selenium

        A python notebook contains a headless automation strategy for chrome to test a website. Site: https://abcdef1. Scroll the page from top to bottom and assert the logo. 2. Click on Each Header, and open it in a new tab, and take a screenshot. 3. Click on the Apply Now Button and Fill out the Form for any one available meeting time in the book meeting section.

        Shell, killerkoda, docker, kubernates, remote vs-code

        Automate and orchestrate the Kubernetes feature of PersistentVolumes, to create them, claim them, work with them, seeing them in action, and cleaning them up.

        Pytest (Flask backend automation),gitlab,docker-compose, Traefik

        Directory of links to additional tools, resources and information.

        Playwright,Typescript, Nodejs, express, gitlab, docker, swagger

        An automation strategy to test the front-end component by considering page objects modeling identifiers and DOM events.Here playwright is selected build an automated test bench that will navigate and cover all the website pages, and verify the functionality which could be interacted with by user with any possible interface.The test has recorded all the page opening, interaction states measurements and stats. Please see the Gitlab project repo that has the code, results logs

        Shell,C, Python, Linux / Ubuntu OS Runtime,Docker, Github actions

        This automated framework is a collection of automated test-scripts for a debian system, which can be run on LAVA or Non-Lava environment. It will have the coverage for all the linux-packages, networking, filesystem and I/Os.Each test-suite has a yaml based test definition file for LAVA environment.To run a lava based test, boot your device in lava and submit the specific test-suite definition file. .

        Selenium Resources

        This automated framework is a collection of Selenium resources and specific test-suite definition file. .

        Application Security

        A curated list of resources for learning about application security. Contains books, websites, blog posts, and self-assessment quizzes.

        Gettings all images over a webpage

        Selenium uses as all images crawler over a webpage

        Open Source and Closed Source AI Agents

        Welcome to our list of AI agents, structured the list into two parts:

        OpenAI chat APIs integration with React App

        Chat models take a list of messages as input and return a model-generated message as output. Although the chat format is designed to make multi-turn conversations easy, it’s just as useful for single-turn tasks without any conversation.

        © Muhammad Farhan 2024 -GitHub