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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
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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.
Resilient Edge Infrastructure for IoT Using Apache Kafka ft. Kai Waehner
What is the internet of things (IoT), and how does it relate to event streaming and Apache Kafka®? The deployment of Kafka outside the datacenter creates many new possibilities for processing data in motion and building new business cases.
In this episode, Kai Waehner, field CTO and global technology advisor at Confluent, discusses the intersection of edge data infrastructure, IoT, and cloud services for Kafka. He also details how businesses get into the sticky situation of not accounting for solutions when data is running dangerously close to the edge. Air-gapped environments and strong security requirements are the norm in many edge deployments.
Defining the edge for your industry depends on what sector you’re in plus the amount of data and interaction involved with your customers. The edge could lie on various points of the spectrum and carry various meanings to various people. Before you can deploy Kafka to the edge, you must first define where that edge is as it relates to your connectivity needs.
Edge resiliency enables your enterprise to not only control your datacenter with ease but also preserve the data without privacy risks or data leaks. If a business does not have the personnel to handle these big IT jobs on their own or an organization simply does not have an IT department at all, this is where Kafka solutions can come in to fill the gap.
This podcast explores use cases and architectures at the edge (i.e., outside the datacenter) across industries, including manufacturing, energy, retail, restaurants, and banks. The trade-offs of edge deployments are compared to a hybrid integration with Confluent Cloud.
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