alfred030/talk-demos

Code & docs for Pipekit's talks

This repo contains demos from ArgoCon and Open Source Summit.

ArgoCon USA 2023

• Scaling to Thousands of Data and CI/CD Pipelines using Argo and Virtual Clusters
• Migrating CI/CD from Jenkins to Argo
• Streamlining big data workflows with memoization and work avoidance

ArgoCon EU 2023

• Configuring Volumes for Parallel Workflow Reads and Writes
• Managing Artifacts at Scale for CI and Data Processing
• Leveraging Argo WorkflowTemplates Within a Data Platform

ArgoCon 2022

• CI/CD for Data Pipelines with Argo Workflows

Open Source Summit 2022

• Automating Cloud-native Spark Jobs with Argo Workflows

ArgoCon 2021

• Processing petabytes in Python with Argo Workflows & Dask

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Argo Workflows Support

Pipekit’s team of Argo experts provide professional support for companies using Argo Workflows. Pipekit's Argo contributors help platform teams optimize pipeline performance, squash upstream bugs, and make faster technical decisions. Learn more at pipekit.io/services.

For more information about Argo Workflows, please see the following resources:

• The Argo Workflows Documentation
• The Argo Workflows GitHub Repository
• The Argo Workflows Slack Channel

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About Pipekit

Pipekit is the control plane for Argo Workflows. Platform teams use Pipekit to manage data & CI pipelines at scale, while giving developers self-serve access to Argo. Pipekit's unified logging view, enterprise-grade RBAC, and multi-cluster management capabilities lower maintenance costs for platform teams while delivering a superior devex for Argo users. Sign up for a 30-day free trial at pipekit.io/signup.