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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Distributed Systems Engineering with Apache Kafka ft. Apurva Mehta
What's it like being a distributed systems engineer? Apurva Mehta (Engineering Leader, Confluent) explains what attracted him to Apache Kafka®, the challenges and uniqueness of distributed systems, and how to excel in this industry.
He dives into the complex math behind the temporal logic of actions (TLA) and shares about his experiences working at Yahoo and Linkedin, which have prepared him to be where he is today.
Apurva also shares what he looks for when hiring someone to join his team. When you're working on a system like Kafka and Kafka Streams, really understanding what your machine is doing, where the bottlenecks are, and how to design improvements to address inefficiencies is critical.
EPISODE LINKS
Jason Gufstason discusses TLA validation (and distributed systems engineering in general) MIT Courseware on Distributed Systems Join the Confluent Community SlackLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Kafka streaming in 10 minutes on Confluent CloudUse 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)
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