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From Scaling to Healing - Designing Resilient Cloud Architectures
Modern auto-scaling often fails because it reacts too late, scales the wrong layers, or ignores costs. This article explains how engineers can build resilient, self-healing distributed systems through predictive scaling, chaos testing, and cost-aware automation—turning every scaling failure into a learning opportunity.
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Accelerating DevOps Pipelines With AI-Native Testing
AI-native testing automates and optimizes the entire DevOps pipeline, enabling rapid software delivery with high quality and reliability through generative and predictive intelligence
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How to make AI work in QA
This article explores how AI is transforming software quality assurance by enhancing test automation speed, trust, and transparency. It features insights from industry leaders — including Karan Ratra — on selecting trustworthy AI tools, ensuring explainability, maintaining data security, and driving measurable ROI in enterprise QA environments.
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Building Trust in AI-Driven QA: Ensuring Transparency and Explainability With GenAI
The New Stack article emphasizes that trust in AI-powered quality assurance depends on transparency, explainability, and human oversight, advocating for AI tools that can reason, adapt, and clearly communicate their actions to foster confidence and effective collaboration in DevOps environments.
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How to Get a Delayed IT Project Back on Track
On, off, and on-again IT projects can be frustrating. Here's how to get a renewed initiative back up to speed, efficiently and quickly.