Here is a grouping of common themes I have been blogging about since January 2015.
AWS Cloud Security Testing
I started in 2018 writing automated tests for a cloud security firm.- The AWS Alphabet Soup (1/24/2018)
- An introduction to good security practices, with Sam Bisbee, Chief Security Officer of Threat Stack (1/28/2018)
Software Quality Assurance
I have been working as a Software Quality Assurance Engineer since 1996. Learn more about the Waterfall and Agile software development methodologies, and how software testing has changed over the years!- What is a QA Engineer? (1/24/2015)
- Waterfall & QA (1/26/2015)
- Before Waterfall (1/26/2015)
- Agile Software Development (1/30/2015)
- How Google Tests Software, thoughts on the book (1/31/2015)
- Shifts in Software Testing (2/1/2015)
- How to Switch Careers in the Software Industry (4/20/2015)
- Should You Have A Dedicated Automation Team in Your QA Team? (9/9/2015)
- Are QA Engineers Becoming Extinct? (9/28/2015)
Security Testing
I spent a year as a junior security tester at a company, and find it facinating!- Security Testing with Kali Linux: Installation (4/22/2015)
- Beginners Kali Linux: Setup with RailsGoat (4/23/2015)
- Introduction to OWASP: A Security Testing resource (4/30/2015)
- OWASP Boston Meetup: Crowdsource Your Bugs (5/7/2015)
Automation Frameworks for Web-based User Interfaces
I worked at Fitbit-Boston (2015-2016) and Good Start Genetics (2016) as an automation developer, first using Selenium / Java, then using Node.js based Nightwatch.js.
- Setting up a development environment with IntelliJ / Maven, then with IntelliJ / Gradle, then Eclipse / Gradle.
- Taking a deeper dive into Gradle, exploring Groovy, using it to run simple tests.
- Using both TestNG and JUnit4 ways of making assertions. Suddenly, Hamcrest.
- Abstracting the page using the Page Object model.
- Using CSS Selectors to find and manipulate web elements on the page.
- How to organize the web element selectors: first in enums, then in By statements.
- Wrapping Selenium calls, placing them in a CommonUtils library.
- Doing away with wrapping Selenium calls and just using Page Factory.
- Performing API testing with Apache's HTTP Components.
- Passing data to tests using pojos and builder patterns,
- Showing examples of good logging for tests.
- Experiments with setting up a virtual dev environment with VirtualBox, Vagrant, and Docker.
- Installing, setup, and learning Docker with the Docker Toolbox and Docker's setup docs.
- Setting up Selenium Grid (for beginners).
- Setting up Selenium Grid in a Docker Container.
- Playing with Protractor, JavaScript and Jasmine: An AngularJS testing tool
Automation Frameworks for Mobile User Interfaces
I put together a mobile proof-of-concept using Appium and Java for Ahold-Quincy (2017) usjng Appium + Java. I was exploring if it was possible to use Serenity BDD for mobile devices:- Learning Serenity BDD: An Automation Framework That Uses Specification by Example (SBE) - (3/3/2017)
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Python is a high-level, interpreted programming language known for its simplicity, readability, and versatility.
Key Features –
Easy to Learn & Use – Simple syntax similar to English.
Dynamically Typed – No need to declare variable types explicitly.
Interpreted Language – Runs code line by line.
Multi-Paradigm – Supports object-oriented, procedural, and functional programming.
Cross-Platform – Runs on Windows, macOS, Linux, etc.
Core Concepts –
Variables & Data Types – int, float, str, list, dict, etc.
Functions & Modules – def keyword for functions, import for modules.
Object-Oriented Programming (OOP) – Classes, objects, inheritance, and polymorphism.
Exception Handling – try-except blocks for error handling.
File Handling – Read and write files using open().
Python Libraries & Frameworks –
Web Development – Django, Flask, FastAPI
Data Science & Machine Learning – NumPy, Pandas, TensorFlow, Scikit-learn
Automation & Scripting – Selenium, BeautifulSoup, PyAutoGUI
Game Development – Pygame
Cybersecurity – Scapy, PyCryptodome
Python Versions –
Python 2 (deprecated)
Python 3 (actively developed and recommended)
Advantages –
Readable & Beginner-Friendly – Great for new programmers.
Extensive Libraries – Reduces development time.
Large Community Support – Many resources and tutorials available.
Scalability – Used in small scripts to large applications.
Challenges –
Slower Execution – Due to being an interpreted language.
High Memory Usage – Not ideal for memory-intensive applications.
Not Ideal for Mobile Apps – Limited mobile development support.
Applications of Python –
Web development
Data analysis and machine learning
Automation and scripting
Game development
Cybersecurity and ethical hacking
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