Speaker

Paras Mamgain

Paras Mamgain

Technical Lead Manager

New Delhi, India

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Paras has been an active speaker sharing his technical expertise at Google tech conferences, Linux Foundations Open source summit in Japan and North America. Paras is a highly skilled backend developer with a passion for information retrieval and a knack for translating complex technical concepts into clear, engaging presentations. Beyond crafting secure and scalable customer infrastructures at Google Cloud Platform (GCP).

Area of Expertise

  • Information & Communications Technology

Topics

  • cloud
  • Cloud & DevOps
  • Cloud Native
  • Cloud Computing
  • Cloud Security
  • Cloud & Infrastructure
  • Google Cloud
  • Google Cloud Paltform
  • Artificial Inteligence
  • Database and Cloud
  • Automation
  • Automated Security
  • CICD Pipeline
  • CI/CD Pipelines
  • DevOps & Automation
  • Automation & CI/CD
  • CICD

HashiTalks: India

Cross-cloud network automation with Waypoint and Terraform

As cloud professionals, we face daily challenges in managing complex, multi-cloud infrastructures. Ensuring high availability, scaling with ease, and maintaining seamless workflows can feel overwhelming. This session will dive into how HashiCorp’s Waypoint and Terraform can make your life easier by automating and standardizing cross-cloud deployments—letting you focus on building and optimizing your applications, not managing infrastructure headaches.

https://www.youtube.com/watch?v=nXtne5SCnkQ

November 2024

The Linux Foundation open Source Summit

eBPF-Powered Observability for Sustainable Computing - Paras Mamgain, Anmol Krishan Sachdeva, Samrat Priyadarshi & Miki Katsuragi, Google

With the advancements in the fields of Applied AI/ML, computational power, FinOps practices, and cloud services, organizations are increasingly building and deploying AI/ML workloads on Kubernetes. Cloud Computing gives the impression that the underlying resources (like Virtual Machines, CPU, RAM, Storage, etc.) are infinite, and hence many individuals don’t focus on the count of machines and resources when training their AI/ML models and proceed with training fairly large models with millions and billions of parameters. The energy-intensive nature of model training and iterations, coupled with the growing scale of AI/ML deployments, is contributing to a considerable environmental impact in the form of Carbon Emissions.

This talk introduces some key open-source cloud agnostic tools and techniques to build eBPF-powered observability solutions for practicing Sustainable Computing. By analyzing and tuning performance and energy metrics from Kubernetes resources like Pods and Nodes, AI/ML Practitioners and Platform Engineers can optimize workloads, reduce energy consumption, lower costs, and minimize environmental impact while maintaining performance.

https://www.youtube.com/watch?v=eGatqRtotfs

October 2024 Tokyo, Japan

Open Source Summit Linux Foundation

Effective Observability with Open Telemetry - Paras Mamgain & Kiran Darbha, IBM

Open Telemetry provides libraries, agents and various other components that you need to capture telemetry from your services so that you can better observe, manage and debug them.
It captures metrics, distributed traces, resource metadata and the logs from your backend and client applications and sends it to the backend of Prometheus, Jaeger etc.

https://www.youtube.com/watch?v=ETXTAbuzaVw&t=20s

September 2020

Paras Mamgain

Technical Lead Manager

New Delhi, India

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