Generative AI can help address the challenges of unifying diverse testing needs into a single continuous testing platform.
Artificial intelligence (AI) and machine learning (ML) can play a transformative role across the software development lifecycle, with a special…
A balanced approach to AI adoption, integration and use in software development would result in a future where AI and…
A no shift strategy argues for developing and testing directly in production, bypassing the traditional dev-to-production delivery pipeline.
Generative AI provides a unique competitive edge, enabling superior digital experiences, innovative products and services and proactive responses.
AI-engineered tools can be used to improve the SRE measurements and observability pillar of practice.
Incorporating AI tools in the realm of anti-fragility enables SREs to build systems that not only resist stress but thrive…
AI's role in enhancing SRE practices, specifically software deployments, is revolutionizing the efficiency of deployment processes.
AI-engineered tools can be used to improve the SRE work-sharing and technical debt pillar of DevOps practice.
In my recent blog, Revolutionizing the Nine Pillars of SRE with AI-Engineered Tools, I indicated that AI could assist with…