ML Powered Container Management Platform: Revolutionizing Digital Transformation through Containers and Observability

Authors

  • Amreth Chandrasehar Director of Engineering- ML, Infrastructure, SRE and Observability, AWS Community Builder San Jose, California, United States Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)122

Keywords:

Digital Transformation, Cloud Modernization, Container Management, Kubernetes, Containers, AI, Machine Learning, Observability

Abstract

As companies adopt digital transformation, cloud-native applications become a critical part of their architecture and roadmap. Enterprise applications and
tools are developed using cloud native architecture are containerized and are deployed on container orchestration platforms. Containers have revolutionized application deployments to help management, scaling and operations of workloads deployed on container platforms. But a lot of issues are faced by operators of the platforms such as complexity in managing large scale environments, security, networking, storage, observability and cost. This paper will discuss on how to build a container management platform using monitoring data to implement AI and ML models to aid organization digital transformation journey

Author Biography

  • Amreth Chandrasehar, Director of Engineering- ML, Infrastructure, SRE and Observability, AWS Community Builder San Jose, California, United States

    Director of Engineering - ML, Infrastructure, SRE and Observability, AWS Community Builder San Jose, California,
    United States

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Additional Files

Published

2022-03-15

Issue

Section

Vol 1, Issue 1

How to Cite

ML Powered Container Management Platform: Revolutionizing Digital Transformation through Containers and Observability. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(1), 1-3. https://doi.org/10.47363/JAICC/2022(1)122

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