Author(s): <p>Laxminarayana Korada</p>
AIOps or Artificial Intelligence for IT Operation and MLOps or Machine Learning Operations are two novel trends that are shifting the dynamics of software engineering by bringing automation and optimization into each facet of SW programming cycle. This paper aims to discuss how these new practices are transforming the software engineering lifecycle, influencing delivery cycles and changes in skills demand among professionals. Through a systematic literature review, the paper identifies the tools and practices that are critical for organizations which are operating in the AIOps and MLOps milieu based on industry case studies.
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