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Resilient Edge Infrastructure for IoT Using Apache Kafka ft. Kai Waehner
Manage episode 424666811 series 2510642
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.
EPISODE LINKS
- Processing IoT Data End to End with MQTT & Kafka
- End-to-End Integration: IoT Edge to Confluent
- Infrastructure Checklist for Kafka at the Edge
- Use Cases & Architectures for Kafka at the Edge
- Architecture Patterns for Distributed, Hybrid, Edge & Global Kafka Deployments
- Building a Smart Factory with Kafka & 5G Campus Networks
- Kafka Is the New Black at the Edge in Industrial IoT, Logistics & Retailing
- Kafka, KSQL & Apache PLC4X for IIoT Data Integration & Processing
- Streaming Machine Learning at Scale from 100K IoT Devices with HiveMQ, Kafka & TensorFlow
- Watch this podcast on YouTube
- Join the Confluent Community
- Use 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)
265 פרקים
Manage episode 424666811 series 2510642
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.
EPISODE LINKS
- Processing IoT Data End to End with MQTT & Kafka
- End-to-End Integration: IoT Edge to Confluent
- Infrastructure Checklist for Kafka at the Edge
- Use Cases & Architectures for Kafka at the Edge
- Architecture Patterns for Distributed, Hybrid, Edge & Global Kafka Deployments
- Building a Smart Factory with Kafka & 5G Campus Networks
- Kafka Is the New Black at the Edge in Industrial IoT, Logistics & Retailing
- Kafka, KSQL & Apache PLC4X for IIoT Data Integration & Processing
- Streaming Machine Learning at Scale from 100K IoT Devices with HiveMQ, Kafka & TensorFlow
- Watch this podcast on YouTube
- Join the Confluent Community
- Use 60PDCAST to get an additional $60 of free Confluent Cloud usage (details)
265 פרקים
Усі епізоди
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1 Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates 11:25

1 How to use Data Contracts for Long-Term Schema Management 57:28

1 How to use Python with Apache Kafka 31:57

1 Next-Gen Data Modeling, Integrity, and Governance with YODA 55:55

1 Migrate Your Kafka Cluster with Minimal Downtime 1:01:30

1 Real-Time Data Transformation and Analytics with dbt Labs 43:41

1 What is the Future of Streaming Data? 41:29

1 What can Apache Kafka Developers learn from Online Gaming? 55:32

1 How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems 50:01

1 What is Data Democratization and Why is it Important? 47:27

1 Git for Data: Managing Data like Code with lakeFS 30:42

1 Using Kafka-Leader-Election to Improve Scalability and Performance 51:06

1 Real-Time Machine Learning and Smarter AI with Data Streaming 38:56

1 The Present and Future of Stream Processing 31:19

1 Top 6 Worst Apache Kafka JIRA Bugs 1:10:58

1 Learn How Stream-Processing Works The Simplest Way Possible 31:29

1 Building and Designing Events and Event Streams with Apache Kafka 53:06

1 Rethinking Apache Kafka Security and Account Management 41:23

1 Real-time Threat Detection Using Machine Learning and Apache Kafka 29:18

1 Improving Apache Kafka Scalability and Elasticity with Tiered Storage 29:32

1 Decoupling with Event-Driven Architecture 38:38

1 If Streaming Is the Answer, Why Are We Still Doing Batch? 43:58

1 Security for Real-Time Data Stream Processing with Confluent Cloud 48:33

1 Running Apache Kafka in Production 58:44

1 Build a Real Time AI Data Platform with Apache Kafka 37:18

1 Optimizing Apache JVMs for Apache Kafka 1:11:42


1 Application Data Streaming with Apache Kafka and Swim 39:10

1 International Podcast Day - Apache Kafka Edition | Streaming Audio Special 1:02:22


1 Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka 34:07

1 Reddit Sentiment Analysis with Apache Kafka-Based Microservices 35:23

1 Capacity Planning Your Apache Kafka Cluster 1:01:54

1 Streaming Real-Time Sporting Analytics for World Table Tennis 34:29

1 Real-Time Event Distribution with Data Mesh 48:59

1 Apache Kafka Security Best Practices 39:10

1 What Could Go Wrong with a Kafka JDBC Connector? 41:10

1 Apache Kafka Networking with Confluent Cloud 37:22

1 Event-Driven Systems and Agile Operations 53:22

1 Streaming Analytics and Real-Time Signal Processing with Apache Kafka 1:06:33

1 Blockchain Data Integration with Apache Kafka 50:59

1 Automating Multi-Cloud Apache Kafka Cluster Rollouts 48:29

1 Common Apache Kafka Mistakes to Avoid 1:09:43

1 Tips For Writing Abstracts and Speaking at Conferences 48:56

1 How I Became a Developer Advocate 29:48

1 Data Mesh Architecture: A Modern Distributed Data Model 48:42

1 Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools 55:55

1 Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB 33:56


1 Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli 49:07

1 Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic 34:41


1 Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao 48:54

1 Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood 51:09

1 Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic 38:25

1 Confluent Platform 7.1: New Features + Updates 10:01

1 Scaling an Apache Kafka Based Architecture at Therapie Clinic 1:10:56

1 Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs 23:13

1 Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole 42:58

1 Handling 2 Million Apache Kafka Messages Per Second at Honeycomb 41:36


1 Serverless Stream Processing with Apache Kafka ft. Bill Bejeck 42:23

1 The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps 46:32


1 Intro to Event Sourcing with Apache Kafka ft. Anna McDonald 30:14

1 Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela 31:01


1 Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra 30:40

1 From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine 29:50

1 Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik 34:51

1 Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris 34:59

1 Running Hundreds of Stream Processing Applications with Apache Kafka at Wise 31:08

1 Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan 28:20

1 Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira 33:57

1 ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury 30:42

1 Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger 29:28

1 Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell 37:41

1 Confluent Platform 7.0: New Features + Updates 12:16

1 Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck 35:32

1 Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang 30:08

1 Getting Started with Spring for Apache Kafka ft. Viktor Gamov 32:44

1 Powering Event-Driven Architectures on Microsoft Azure with Confluent 38:42

1 Automating DevOps for Apache Kafka and Confluent ft. Pere Urbón-Bayes 26:08

1 Intro to Kafka Connect: Core Components and Architecture ft. Robin Moffatt 31:18

1 Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi 30:08

1 Apache Kafka 3.0 - Improving KRaft and an Overview of New Features 15:17

1 How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray 35:18
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