The Alooma Data Pipeline With CTO Yair Weinberger - Episode 33

Summary

Building an ETL pipeline is a common need across businesses and industries. It’s easy to get one started but difficult to manage as new requirements are added and greater scalability becomes necessary. Rather than duplicating the efforts of other engineers it might be best to use a hosted service to handle the plumbing so that you can focus on the parts that actually matter for your business. In this episode CTO and co-founder of Alooma, Yair Weinberger, explains how the platform addresses the common needs of data collection, manipulation, and storage while allowing for flexible processing. He describes the motivation for starting the company, how their infrastructure is architected, and the challenges of supporting multi-tenancy and a wide variety of integrations.

linode-banner-sponsor-largeDo you want to try out some of the tools and applications that you heard about on the Data Engineering Podcast? Do you have some ETL jobs that need somewhere to run? Check out Linode at promo.linode.com/dataengineeringpodcast or use the code dataengineering2018 and get a $20 credit (that’s 4 months free!) to try out their fast and reliable Linux virtual servers. They’ve got lightning fast networking and SSD servers with plenty of power and storage to run whatever you want to experiment on.


Datadog is a powerful, easy to use service for gaining comprehensive visibility into the state of your data infrastructure. The easy to install agent lets you collect system metrics and log data, supports integrations with all of your services, and has distributed tracing built in. Their customizable dashboards and interactive graphs make finding and fixing performance issues fast and easy, and their machine-learning driven alerting ensures that you always know what is happening in your systems.

If you need even more detail about how your platform is functioning you can track custom metrics, and their Application Performance Monitoring (APM) tools let you track the flow of requests through your stack. Go to dataengineeringpodcast.com/datadog today to start your free 14 day trial and get an awesome new T-shirt.


Preamble

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
  • When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. With private networking, shared block storage, node balancers, and a 40Gbit network, all controlled by a brand new API you’ve got everything you need to run a bullet-proof data platform. Go to dataengineeringpodcast.com/linode to get a $20 credit and launch a new server in under a minute.
  • For complete visibility into the health of your pipeline, including deployment tracking, and powerful alerting driven by machine-learning, DataDog has got you covered. With their monitoring, metrics, and log collection agent, including extensive integrations and distributed tracing, you’ll have everything you need to find and fix performance bottlenecks in no time. Go to dataengineeringpodcast.com/datadog today to start your free 14 day trial and get a sweet new T-Shirt.
  • Go to dataengineeringpodcast.com to subscribe to the show, sign up for the newsletter, read the show notes, and get in touch.
  • Your host is Tobias Macey and today I’m interviewing Yair Weinberger about Alooma, a company providing data pipelines as a service

Interview

  • Introduction
  • How did you get involved in the area of data management?
  • What is Alooma and what is the origin story?
  • How is the Alooma platform architected?
    • I want to go into stream VS batch here
    • What are the most challenging components to scale?
  • How do you manage the underlying infrastructure to support your SLA of 5 nines?
  • What are some of the complexities introduced by processing data from multiple customers with various compliance requirements?
    • How do you sandbox user’s processing code to avoid security exploits?
  • What are some of the potential pitfalls for automatic schema management in the target database?
  • Given the large number of integrations, how do you maintain the
    • What are some challenges when creating integrations, isn’t it simply conforming with an external API?
  • For someone getting started with Alooma what does the workflow look like?
  • What are some of the most challenging aspects of building and maintaining Alooma?
  • What are your plans for the future of Alooma?

Contact Info

Parting Question

  • From your perspective, what is the biggest gap in the tooling or technology for data management today?

Links

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA