Home / Companies / Yugabyte / Blog / Post Details
Content Deep Dive

Best Practices for Deploying Confluent Kafka, Spring Boot & Distributed SQL Based Streaming Apps on Kubernetes

Blog post from Yugabyte

Post Details
Company
Date Published
Author
Sid Choudhury
Word Count
2,240
Company Posts That Month
5
Language
English
Hacker News Points
-
Post removed?
No
Summary

This summary highlights the challenges of deploying stateful streaming applications on Kubernetes, specifically those using Confluent Kafka, KSQL, Spring Boot, and distributed SQL databases like YugabyteDB. These apps are inherently stateful due to their need to handle continuous data streams, which poses scalability, reliability, and functional depth challenges. To address these challenges, the article outlines four best practices for deploying streaming apps on Kubernetes: using StatefulSets for stateful apps, low-latency storage, high data resilience, and high-performance networking. The article also provides a reference architecture for deploying an IoT fleet management app on K8S, showcasing the deployment of Confluent Kafka, KSQL, Spring Boot, and YugabyteDB in a Kubernetes environment.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Kubernetes 49 392 53 30 -35%
Real-time 19 515 117 54 -12%
Data Pipeline 1 63 26 11 +3%
Developer Experience 1 27 18 14 -13%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.