Unsticking Ourselves from Glue: Migrating PayIt’s Data Pipelines to Argo Workflows and Hera | DoKC Town Hall

Unsticking Ourselves from Glue: Migrating PayIt’s Data Pipelines to Argo Workflows and Hera | DoKC Town Hall

Unsticking Ourselves from Glue: Migrating PayIt’s Data Pipelines to Argo Workflows and Hera
Presented by Matt Menzenski, Senior Software Engineering Manager, Payitgov

At PayIt, we’ve been deploying applications to Kubernetes almost since the beginning of the company. Our data workloads, however, have run instead in AWS Glue. This has worked well enough for the reporting use cases that have been the main focus of this team historically. However, at the beginning of 2022, the PayIt data team began building out a new data platform, and in the process, ran into a number of challenges with Glue. In this talk, I will share the difficulties that we encountered with building, deploying, and orchestrating ETL pipelines in AWS Glue, our decision process for moving those workloads into Kubernetes, and the ELT architecture that we’ve arrived at today. Related Links DoKC Website - https://dok.community/ DoKC Meetups - https://www.meetup.com/data-on-kubernetes-community/ Join Slack - https://join.slack.com/t/dokcommunity/shared_invite/zt-1vgv7ymz7-YtLFvZicrcLP9fS3o_r2_w

Episoder(243)

Implementing Data & Databases on K8s within the Dutch Government | DoKC Town Hall

Implementing Data & Databases on K8s within the Dutch Government | DoKC Town Hall

Implementing Data & Databases on K8s within the Dutch GovernmentPresented by Sebastiaan Mannem, Director at Mannem Solutions A small walkthrough of projects within the Dutch government running databas...

13 Feb 202444min

Repel Boarders! How to find a Kubernetes operator that really protects your data | DoKC Town Hall

Repel Boarders! How to find a Kubernetes operator that really protects your data | DoKC Town Hall

Repel Boarders! How to find a Kubernetes operator that really protects your dataPresented by Robert Hodges, AltinityOperators are a godsend for managing data in Kubernetes. But how about protecting it...

30 Jan 202419min

DoK + Apache Spark | DoKC Town Hall

DoK + Apache Spark | DoKC Town Hall

DoK + Apache SparkPresented by Holden Karau, Spark Committer and Open Source Engineer at NetflixIn this brief talk, Holden will cover some of the best practices from trying to deploy both small and la...

23 Jan 202419min

DoK @ Comcast - Deliver Business Outcomes & Improved DevX with Data Services on K8s | DoKC Town Hall

DoK @ Comcast - Deliver Business Outcomes & Improved DevX with Data Services on K8s | DoKC Town Hall

DoK @ Comcast: Delivering Business Outcomes & Improved DevX with Data Services Running on Kubernetes Presented by Greg Otto, Executor Director, DevX Platforms & Charles Ju, Principal Engineer Transfor...

3 Jan 202416min

DoK Talks - What is Kafka? The rise of one of the world's most used streaming data technologies // Abbey Russell

DoK Talks - What is Kafka? The rise of one of the world's most used streaming data technologies // Abbey Russell

Abbey Russell, PM at Cockroach Labs, shared the backstory on how and why Kafka was created. Along the way, you'll learn about - Who Franz Kafka was - Kafka's earliest use at Linkedin in 2010 -...

9 Mar 202315min

DoK Talks - (almost)Everything you need to know about stateful cloud native network applications // W Watson

DoK Talks - (almost)Everything you need to know about stateful cloud native network applications // W Watson

https://go.dok.community/slack https://dok.community/ https://youtu.be/KjiK6eXYO34 DoK Talk with W Watson, Founder at Vulk Co-op

2 Mar 202343min

The Outer Nerd #001 - Dungeons & Dragons - Why should you care? // Abhi Vaidyanatha, Fabian Met & Chase Christensen

The Outer Nerd #001 - Dungeons & Dragons - Why should you care? // Abhi Vaidyanatha, Fabian Met & Chase Christensen

https://dokcommunity.slack.com/ https://dok.community/ ABSTRACT OF THE TALK Fabian, Chris and Abhi will discuss their passion for roleplaying games, and what they can teach us about the power of ...

13 Des 202258min

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