Dependency Injection in BDD Framework
1. Problems A BDD automation framework typically consists of Feature Files, Step Definition classes or Hook class, and other classes […]
Search Results for: test automation
Introducing Rust + Actix-web: A Practical Path to High-Performance Web Development
In today’s web development landscape, performance, safety, and scalability are non-negotiable. While popular frameworks in JavaScript, Python, and Java have
Introducing Databricks Lakeflow
In today’s data-centric landscape, the nature of data has evolved far beyond traditional structured tables. Modern workloads increasingly rely on
Serverless Agentic AI with Node.js on Azure Functions
The article discusses the integration of Agentic AI with serverless computing, emphasizing the benefits of using Node.js on Azure Functions for building scalable AI applications. It highlights features such as elastic scalability, event-driven responsiveness, and operational efficiency, while pointing out best practices and potential challenges in the deployment of Serverless Agentic AI solutions.
Lakeflow Connect Overview
In the first part of our Databricks series for testers, ‘Introducing Databricks Lakeflow’, we’ve explored the fundamentals of Lakeflow. Now,
Application Engineering
Detecting Last-Minute Bugs – A Super Hero or a Villian?
Introduction In software testing, there’s one phrase that can instantly change the atmosphere of any release cycle: “We found a
How AWS Generative AI Transforms Your SDLC
Software development teams are under constant pressure to deliver faster, more secure, and higher-quality applications. Generative AI on AWS is
How Agentic AI Is Shaping the Future of Cloud Reliability
For years, cloud reliability has been built on a reactive model. Engineers wait for alerts, respond to incidents, and then
Agent-Led Cloud Provisioning: Self-Designing Infrastructure as Code
Introduction The cloud provisioning landscape is evolving from manual templates and rule-based automation to intelligent, adaptive, and autonomous systems. Traditional
AI Agents as DevOps Architects: Can They Replace Your Cloud Engineering Team?
Introduction The integration of AI into DevOps has transitioned from automation of tasks to strategic decision-making and intelligent orchestration. The