Piyush Sachdeva
Technical Solutions Developer at Google Canada
Toronto, Canada
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- 13+ years of experience working as a Cloud/DevOps Engineer. Extensive experience with (AWS, Azure, and GCP) Multi-Cloud setup, administration, and automation.
- 5+ years of experience with docker and Kubernetes.
- AWS community builder, Hashicorp Ambassador , Google Developer Expert(GDE)
- Youtuber ( TechTutorialsWithPiyush)
- Author - CKA Study companion guide
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GitOps for beginners - End to end project for K8s CI/CD
This project showcases the seamless integration of GitOps principles into the CI/CD pipeline, driving automation, scalability, and security.
Below are the tasks performed in the project:
1. Dockerize a Web Application using Docker multi-stage builds.
2. Provision a Kubernetes Cluster using IaaC tools such as Terraform.
3. Implement a GitOps pipeline using ArgoCD to deploy your Dockerized web application to the Kubernetes cluster. Automate the deployment process and ensure your application is automatically updated by ArgoCD as soon as your GitHub repo changes, which is a single source of truth.
4. Throughout this project, prioritize security and adhere to best practices for containerization, Kubernetes configuration, and CI/CD pipelines. Ultimately, we will have a robust, secure, and scalable infrastructure.
From Zero to GPU: A Live Demo of AI Workloads on Kubernetes
Running AI/ML workloads on Kubernetes shouldn't be a black box. This session is a practical, live-fire demo of scheduling a machine learning workload on a GPU-enabled Kubernetes cluster. We will start from scratch, configure a node pool with GPUs, and walk through the essential manifest configurations—including taints, tolerations, and resource limits—needed to make it work. As a Google Cloud AI Infra specialist, I'll highlight common "gotchas" and share best practices learned from helping customers run AI at scale. You'll walk away with the practical knowledge to start deploying your own AI applications on Kubernetes.
Piyush Sachdeva
Technical Solutions Developer at Google Canada
Toronto, Canada
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