Urgent.News

What's breaking now, across thousands of outlets.

Tech

What QA Taught Me About DevOps

When I started moving from QA and validation toward Cloud and DevOps, I initially thought I had to leave my QA background behind. I was wrong. The more I worked with AWS, Terraform, Kubernetes and CI/CD, the more I realized that many habits I developed as a QA engineer were still useful — sometimes even more than I expected. Here are the lessons from QA that I now carry into my Cloud and DevOps…

In the article "What QA Taught Me About DevOps" published on Dev.to, the author reflects on how their background in Quality Assurance (QA) has been beneficial as they transitioned into Cloud and DevOps roles. The author emphasizes three key lessons from their QA experience that have proven useful in their new role. First, QA encourages a mindset of anticipating failure and considering what happens during and after service unavailability, dependency failures, and under load.

This approach proved invaluable when working with Kubernetes and AWS, where the author focused on scaling, health checks, database availability, monitoring, and recovery. Second, automation in QA, such as tests, validation processes, and repetitive checks, becomes even more crucial in DevOps. The author highlights how infrastructure, application delivery, Kubernetes, and monitoring can be automated to create repeatable, predictable, and trustworthy processes.

Third, the author stresses the importance of reproducibility, which is crucial for testing environments and infrastructure. By using tools like Terraform and Kubernetes manifests, the author can describe infrastructure as code, ensuring consistent configurations across environments and avoiding the "it worked on my machine" dilemma.

Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in Tech

RobotOps: Keeping Robot Fleets Ready for Real Work

Introduction A robot does not finish its job when it leaves the test bench. It still needs care once people start using it.

  • RobotOps manages entire robot fleets, handling monitoring, maintenance, and troubleshooting.
  • Software updates require testing in simulations to avoid safety concerns and physical issues.

pytrends keeps failing with 429 Too Many Requests? Here's a drop-in fix

If you use pytrends for Google Trends data, you have probably seen this more and more often: pytrends.exceptions.TooManyRequestsError: The request failed: Google returned a response with code 429 Two…

  • pytrends archived in April 2025, causing 429 Too Many Requests error
  • Google Trends rate-limiting stricter, especially from cloud servers
  • Drop-in replacement library using Apify's free plan for keyword data

I Got a Signed Job Offer Letter for a Job that Never Existed

I passed a 48-hour technical challenge, received an offer letter, and then lost the job because I had to enter and upload my ID number and make a payment on a page to complete a background check.

  • Author passed 48-hour technical challenge for WeatherAI job
  • Suspected scam after background check with payment request
  • Author created FastAPI gateway, warned about fraudulent process

A practical guide to List Comprehensions in Python

Introduction In my journey of learning Python, one of the things I considered hard a couple of weeks ago was list comprehensions.

  • List comprehensions create new lists from existing iterables in concise syntax.
  • Syntax [expression for item in iterable] breaks into expression, item, and iterable components.

More from Tuesday 29 September →