This video covers how we can leverage Spring Boot, Spring Cloud Stream in EKS for Stream processing using Kinesis Data Streams
⏱ Chapter Timestamps
0:00 - Introduction
0:10 - Architecture
3:05 - Create EKS Cluster
6:37 - Project creation using start.spring.io
11:24 - Creation of Dockerfile
11:50 - Building the project
12:33 - Building docker image
14:08 - Tag & Push docker image to registry
15:30 - Creation of k8s.yml
16:52 - Creation of Kinesis Data Streams
18:58 - Deployment in EKS cluster
22:28 - Publishing to Kinesis Data Streams
22:58 - Kinesis Data Analytics
26:54 - Accessing the app using ELB
27:44 - Summary
📌 Related Links
🔗 Github code sample used in the video -
🔗 Getting started with eksctl - https://docs.aws.amazon.com/eks/latest/userguide/getting-started-eksctl.html
🔗 Spring Cloud Kinesis sample - https://dataflow.spring.io/docs/recipes/kinesis/simple-producer-consumer/
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