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ci-cd-pipeline

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ci-cd-pipeline

Backend Automated Testing & CI/CD: A Complete Guide

Learn backend automated testing and CI/CD practices from a real project. Improve testability, write effective tests, and achieve continuous deployment.
ci-cd-pipelinebackend automated testing 507

Code Build Environment Variables | Common Types & Associated Mistakes

The use of environment variables in continuous integration/continuous deployment (CI/CD) pipelines or code build systems allows developers to transmit configuration data, settings, or secrets to the build process without having to hardcode them into the source code.
ci-cd-pipeline 782

What is CI/CD & How Does It Work? | Basic Concepts and Structure

Wondering about the basic concepts of what is CI/CD and how it works? This article is a one-stop knowledge pager for everyone interested in learning professional skills.
ci-cd-pipelinejenkinssource-control-management 725
Read More
1Let Crashes "Speak": How AI Identifies Root Cause Signals From "Noise" As AI technology continues to evolve, game crash governance is shifting from passive response to proactive prevention. Tencent's CrashSight platform transforms game crash management by using intelligent clustering and a hybrid reasoning framework.
2Why Switch from Manual Testing to Automated Testing? Automated testing isn’t just a trend—it’s a fundamental shift in how software is developed and tested.
3Exposing Mobile Game Security Issues and Cheat Risks: A Technical Perspective on Tencent's SR Mobile This article will discuss how to expose these security issues and cheat risks from a technical perspective.
4Navigating the Road to Success in Designing Distributed Systems This article discusses the author's various endeavors in the realm of mobile gaming to implement distributed systems and outlines the definition of services, the development of the overall framework, and the process of internal service segmentation during these efforts.
5Intelligent Test Grading & Release Risk Assessment | Quality Score Model Learn how Baidu’s Quality Score Model enables intelligent test grading, release risk assessment, and data-driven QA automation to boost software delivery efficiency & quality control.
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