Continuous Testing
From Firefighting to Forward-Thinking: My Real-World Lessons in DevOps and Cloud Engineering
Bhanuteja Somarouthu | | CI/CD pipelines, cloud infrastructure, devops best practices, observability in devops, Real-world DevOpsTools change, but the fundamentals stay — plan for failure, treat infra and pipelines like code and make observability a first-class citizen ...
Continuous Testing Strategies That Actually Prevent Production Bugs
Construct a resilient testing framework that prevents defects from boarding the release train in the first place, enabling code to leave the station reliably and quickly. ...
Accelerating DevOps Pipelines With AI-Native Testing
An in-depth look at AI-native testing and the capability it has of pushing things through the DevOps pipeline, faster ...
Shift-Left API Security Testing: A Strategic Move for Agile Enterprises
Emily Amanda | | API Security Testing, API testing, API Testing for agile enterprises, Shift-Left in API SecurityShift-left API security testing is more than a mere development trend; it’s also a strategic business decision ...
From Testing Hell to Quality Heaven With Intelligent Continuous Testing
Intelligent Continuous Testing is not just the next step in automation — it’s the missing link between speed and quality in modern software delivery. If your team is stuck in manual testing ...
AI-Generated Code Packages Can Lead to ‘Slopsquatting’ Threat
Jeff Burt | | AI code generation, AI hallucinations, Large Language Models, slopsquatting, software supply chain risksAI hallucinations – the occasional tendency of large language models to respond to prompts with incorrect, inaccurate or made-up answers – have been an ongoing concern as the enterprise adoption of generative ...
Breaking Down Testing Barriers: How Observability is Bridging Dev and Ops
Tricentis's Bryan Cole discusses how AI-powered observability and continuous testing transform the relationship between development and operations teams ...
Your Test Data Service is Outdated – Here’s Why (And What to Do About It)
James Walker | | ai, Aritficial Intelligence, devops, software development, TDM, test data, test data managementOutdated test data practices continue to hold back organizations, creating bottlenecks in delivery and compromising software quality. ...
Objective-Based Testing: Transforming Test Design With Natural Language Prompts
Objective-based testing, with its focus on natural language prompts to initiate test design, is more than just a new technique ...
The Promise and Perils of Generative AI in Software Testing
Organizations can harness the full power of GenAI to drive innovation in software testing and deliver high-quality software products ...
Survey Surfaces Incident Management Gap Between DevOps and ITSM
A survey of 505 software developers, IT professionals and IT decision makers (ITDMs) in the U.S. finds that 70% of respondents work for organizations that hold developers responsible for deployments, with only ...
LambdaTest Kane Goes End-To-End on AI Testing
Adrian Bridgwater | | agile testing, application development, CI/CD, cloud services, continuous delivery, devops, software developmentCloud-based testing platform company LambdaTest has launched KaneAI, an end-to-end software AI test agent. With AI software in (some would say dire, or at least thorough) need of deep-level testing to eradicate ...
