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CNCF [Cloud Native Computing Foundation]

Large Scale Batch Processing with Argo Workflows and Events

CNCF [Cloud Native Computing Foundation] via YouTube

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Overview

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This case study explains how a Kubernetes platform runs and schedules large numbers of batch data pipelines with Argo Workflows and Argo Events. It covers scaling across clusters, high availability, pipeline dependencies, and event-driven triggering.

Syllabus

Intro
Overview
Intuit Data Processing Flow
Batch Processing Platform Architecture
Intuit Batch Processing Flow
Scaling Argo Events
Scaling Argo Workflow in Multi Cluster
High Availability
Pod Distribution Budget (PDB)
Rate Limit for Concurrent POD
Creating Data Processor
Creating Data Pipeline
Scheduling & Managing Data Pipeline
A Cluster View of Batch Dependencies
What we are working on Next

Taught by

CNCF [Cloud Native Computing Foundation]

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