Aishwarya Sharma
Woven by Toyota, Devops
Tokyo, Japan
Actions
Aishwarya Sharma is a DevOps Specialist with around 10 years of extensive experience in cloud computing and DevOps practices.
Aishwarya's expertise extends to container orchestration platforms, particularly Kubernetes, where she has demonstrated her ability to deploy, manage, and scale containerized applications efficiently. She also got CKAD and few AWS certifications as well
Area of Expertise
Topics
Designing Modular GitOps Pipelines with Argo CD and Helm: Lessons from a Multi-Team Platform
As organizations adopt GitOps at scale, teams often face growing pains, duplicated manifests, unmanageable repositories, and inconsistent deployment practices across environments. This talk shares how we designed a modular GitOps pipeline architecture using Argo CD and Helm to overcome these challenges in a large, multi-team environment.
We’ll walk through the architectural approach behind modularizing Helm charts, structuring reusable workflow steps in Argo Workflows, and defining environment-specific overlays that scale cleanly across 150+ applications. Attendees will learn how this modular design simplified onboarding, improved reliability, and reduced operational overhead without compromising flexibility.
Intelligent CI/CD Pipelines: Leveraging AI/ML for predictive failure detection
Modern CI/CD Pipelines generate vast amounts of build, test, and deployment data- making it challenging to detect issues before they impact production. In this session, we explore how AI and ML can transform your CI/CD process by predicting failures before they occur. You'll learn how to collect and process pipeline data(logs, test outcomes, resource metrics) to train models that detect subtle patterns indicative of future failures. This talk covers practical strategies for feature engineering, model integration using popular open source tools, and real-world case studies that demonstrate reduced downtime and optimised testing. Attendees will leave with a clear, actionable roadmap for embedding predictive analytics into their pipelines to drive proactive, resilient software delivery
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top