Testleaf

QA Tester

From Manual Reports to Automated Dashboards- A QA Transformation

From Manual Reports to Automated Dashboards: A QA Transformation 

  As a QA engineer, I’ve spent countless hours compiling test results, screenshots, logs, and defect lists into endless spreadsheets and emails. In the early days of my career, generating a single manual test report often felt like a project of its own. You run the tests, take screenshots, note failures, add them to a document, summarize …

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How Scheduling Deployments Saved Our QA from False Failures

How Scheduling Deployments Saved Our QA from False Failures

  Early in my journey as a tester, I quickly realized that not all test failures are created equal. Some were real bugs—valid defects that needed fixing—but many others were false failures, caused not by the application itself, but by chaotic deployment schedules, unstable environments, or overlapping builds. These false failures were draining. I spent …

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Parallel Test Execution with Selenium Grid + Azure Kubernetes

Parallel Test Execution with Selenium Grid + Azure Kubernetes: Scaling QA Without Sacrificing Time 

  As a tester, I’ve spent countless hours staring at a screen, waiting for tests to finish on a single machine. Daily sanity checks, regression suites—they all felt like slow, painful marathons. Our QA process was bottlenecked by serial execution, and with tight release cycles, delays were inevitable.  It was clear: we needed speed without compromising quality. That’s when we turned …

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How Faker + APIs Made Our Test Data Creation 10x Faster

How Faker + APIs Made Our Test Data Creation 10x Faster

  If you’ve worked in QA long enough, you know that test data can make or break your automation efforts. It sounds simple: just feed your tests some input values and check the output. But in reality, creating and maintaining reliable test data is one of the hardest parts of building stable automation.  When I started my journey as a tester, we relied …

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Hypothesis Testing in QA: Step-By-Step Guide With Real Examples

Introduction In the world of Quality Assurance (QA), decision-making often relies on evidence rather than assumptions. Whether it’s validating a new feature, analyzing defect trends, or confirming a performance improvement, QA engineers must rely on statistical thinking. That’s where hypothesis testing comes in — a structured approach to validate assumptions with data. This method, widely …

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Secure Software Testing

How to Secure Testing with Production-Like Data Using Azure Key Vault

Introduction – The Real Challenge Nobody Talks About Every engineering team eventually faces this question: 👉 “How do we test with production-like data without putting sensitive information at risk?” I faced this challenge in one of my recent projects. The business demanded realistic data in test environments to ensure quality, but the compliance team was …

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QA to soc

From Quality Assurance to Cyber Defense: A QA’s Journey into the World of SOC

Introduction: “I Was Just a QA…” You know that moment when you’re closing your sprint, running regression, and a bug slips into production? You feel it — that sinking sense of “I missed something.” I used to think catching bugs was enough. But over time, the bugs changed. They weren’t just UI glitches or broken …

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