Talks & Demos

Don’t Do What Donny Don’t Does: The 10 Dos and 500 Don’ts of Workflows Success

Becky Pauley (Tailscale) and Tim Collins (Pipekit) share real-world lessons on common pitfalls and best-practice recommendations for operating Argo Workflows reliably at scale.

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Bring Your Own Artifact Driver To Workflows

Alan Clucas demonstrates how to build custom artifact drivers as plugins for Argo Workflows using a gRPC server, enabling storage backends of any type.

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Argo Events Update

Caelan Urquhart presents an overview of recent features, improvements, and the roadmap for the Argo Events event-driven workflow system.

Argo Workflows Update

A session where Isitha Subasinghe presents the latest updates and future direction for the Argo Workflows project.

Project Updates: Argo Events

Discover best practices from Intuit and Pipekit to simplify workflow configuration and automate artifact cleanup.

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Project Updates: Argo Helm Packages

Discover best practices from Intuit and Pipekit to simplify workflow configuration and automate artifact cleanup.

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Automated Resilience: Using Argo Events for Real-Time Incident Remediation

Dive into how Argo Events can be automate remediation of failures and minimize downtime.

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Argo Workflow Templates: A Practical Deep-Dive

Explore the versatile world of Argo Workflow template types as we break down the different types, use cases and best practices.

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Demystifying Argo Events: An Architectural Deep Dive

Unravel the mysteries of the event bus, sources, and sensors to master event handling in your Kubernetes clusters.
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Untangling the Threads: Understanding Argo Workflows with Workflow Tracing

Identify bottlenecks, monitor execution times, and leverage custom traces for deep insights. Preview the new Workflow Traceability feature.
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Data Science Workflows Made Easy: Python-Powered Argo for Your Organization

Learn to craft efficient workflows, handle complex tasks, and automate CI/CD processes using familiar Python code.
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Dog Food Delight: How Argo Workflows Eats Its Own CI

Learn about running Kubernetes in Kubernetes, overcoming technical challenges, and achieving performance gains through self-hosted CI solutions.
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Orchestrating Python Functions Natively in Argo Using Hera

Escape YAML complexity with Hera's Python-functions-as-templates for your Workflows, simplifying creation, testing, and navigation.
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Demystifying Argo Workflows: An Architectural Deep Dive

Master Argo Workflows' intricacies. Dive deep into architecture, from server to controller pods. Elevate your understanding of Argo Workflows and harness the power of this workflow engine.
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Panel: Argo for ML: Achieving Scalability and User Experience

Gain valuable insights from ML and MLOps experts on leveraging Argo Workflows for scalable ML platforms. Explore design strategies and scaling considerations.

Scaling Cloud-Native CI/CD with Jenkins and the Argo Projects

Elevate your CI/CD expertise. Discover seamless integration of Jenkins and Argo Workflows with Argo CD and Rollouts. Gain migration tips and testing strategies.

Mastering Argo Workflows at Scale: A Practical Guide to Scalability Excellence

Gain valuable insights on scaling Argo Workflows effectively. Explore infrastructure optimization, resource management, workflow design, and observability at scale.
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Argo CD - Plugins as Services

Discover enhanced scalability, security, and development iteration with Argo CO plugins as services. Unlock the transformative power for your projects.

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ArgoCon 2024 Welcome + Project Updates

Hear from Argo Project maintainers Carlos Santana, Alan Clucas, and Michael Crenshaw about recent project updates, milestones, and growth.

Migrating CI/CD from Jenkins to Argo

Explore the advantages, best practices, and an end-to-end example of migrating from Jenkins to Argo for a more efficient and cost-effective CI/CD pipeline.
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How to Train an LLM with Argo Workflows and Hera

Learn to effectively train and evaluate LLaMA2 models using Argo Workflows and the Hera in this comprehensive guide.
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Scaling to Thousands of Data & CI/CD Pipelines using Argo and vClusters

Find out how Loft Labs and Pipekit provisioned 1000s of K8s clusters, addressing architectural challenges, design choices, and scaling limits.
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Streamlining Big Data Workflows with Memoization & Work Avoidance

How to optimize Argo Workflows for big data and ML, reducing runtime and compute costs through memoization and work avoidance best practices.

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Comparing Argo Workflows and Apache Airflow at Scale

Gain insights and practical tips for choosing the right orchestration tool for your team in this side-by-side comparison of Argo Workflows and Airflow.

Leveraging Argo WorkflowTemplates Within a Data Platform

Learn how Bloomberg and Pipekit both use Argo Workflows on our infrastructures to simplify data operations.

Configuring Volumes for Parallel Workflow Reads and Writes

Learn how to unlock parallel data access and optimize Docker builds in Argo Workflows with ReadWriteMany disks.

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Processing petabytes in Python w/ Argo Workflows & Dask

Discover how we provisioned Argo Workflows for ACCURE and how they use Dask running on Argo to process petabytes of data with super low latency for customers.
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CI/CD for Data Pipelines with Argo Workflows

Delve into best practices for managing Workflows and WorkflowTemplates in Git, and learn to conduct rigorous testing to ensure robust validation across every workflow iteration.

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Automating Cloud-native Spark Jobs with Argo Workflows

Explore how to handle complex dependencies efficiently and leverage the advantages of scalable, stable processing for large data workloads.
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Scaling Gene Therapy Research with Argo Workflows and Hera

Learn how Dyno Therapeutics leverages Argo Workflows and Kubernetes to orchestrate complex workflows.

Managing Artifacts at Scale for CI and Data Processing

Discover best practices from Intuit and Pipekit to simplify workflow configuration and automate artifact cleanup.

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Project Updates: Argo Events

Discover best practices from Intuit and Pipekit to simplify workflow configuration and automate artifact cleanup.

‍Get the code on GitHub