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#Java Development

Building a Secure Spring Boot + Redis Cluster with SSL and Docker


By Shubham Rai November 4, 2025

Building-a-Secure-Spring-Boot-Redis-Cluster-with-SSL-and-DockerModern enterprise applications depend on low-latency, high-availability caching and Redis has become the go-to solution. But as deployments scale, security and clustering become mission-critical.

In this guide, we’ll show how to build a production-grade Redis Cluster integrated with Spring Boot, secured with SSL/TLS, and orchestrated in Docker.

You’ll learn to generate certificates, configure a six-node cluster, connect with Spring Boot, and expose a REST API all while ensuring encryption, resilience, and observability. For deeper reference, see Redis SSL/TLS documentation and Spring Boot Data Redis guide.

1. Overview

This tutorial demonstrates setting up a Redis Cluster (3 masters + 3 replicas) with TLS/SSL and password authentication, running locally through Docker Compose.

A Spring Boot 3.x (Java 17+) app connects securely via Jedis or Lettuce clients.

Every step from certificate generation to cluster bootstrap and API testing is included below.

2. Why SSL/TLS for Redis

Redis traffic is plaintext by default. In production, that exposes sensitive keys and data to risks such as: 

  • Data interception and MITM attacks 
  • Unauthorized access 
  • Compliance failures (GDPR, SOC 2, HIPAA) 

TLS/SSL encrypts all traffic and, when combined with proper certificate validation, guarantees secure identity verification between nodes.

3. Architecture

Spring Boot → Redis Cluster (TLS) → Monitoring Stack (Prometheus + Grafana)

Each master node replicates to a replica, ensuring high availability. Monitoring tools capture metrics via the Redis Exporter. 

(Tip: Use RedisInsight to visualize keys and cluster metrics.)

4. Prerequisites

You’ll need: 

  • Java 17+ 
  • Maven 3.9+ 
  • Docker & Docker Compose 
  • OpenSSL 
  • Optional: RedisInsight, Prometheus, Grafana

5. Step-by-Step Implementation

Step 1: Generate TLS Certificates

For local testing, generate self-signed certificates.In production, use a certificate authority (CA) or an automated certificate manager such as Let’s Encrypt. 

Generated files: ca.crt, ca.key, redis.key, redis.csr, redis.crt, redis.pem. 

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Step 2: Docker Compose: Six-Node TLS-Enabled Redis Cluster

Each node mounts the certificate directory. 

Example redis.conf: 

Start and bootstrap the cluster: 

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Step 3: Spring Boot Configuration

Step 4: RedisConfig (Jedis Cluster + SSL)

Step 5: REST API Example

Run your Spring Boot app to test the secure cluster connection. 

Try: GET http://localhost:8080/cache/set/hello/world then GET /cache/get/hello. 

6. Performance & Monitoring

Use: 

  • RedisInsight for visual key analysis
  • Redis Exporter + Prometheus + Grafana for metrics and alerts

Example scrape target: :9121. 

Import the official Redis dashboards from Grafana Labs. 

7. Security Best Practices

1️⃣ Use ACL users and strong, rotated passwords. 

2️⃣ Renew and rotate certificates regularly. 

3️⃣ Restrict Redis to private networks only. 

4️⃣ Implement mutual TLS when possible. 

5️⃣ Apply firewall and Kubernetes NetworkPolicies. 

6️⃣ Store secrets securely (Vault / AWS Secrets Manager). 

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8. Troubleshooting

Issue Cause Fix 
SSLHandshakeException Invalid CA or expired cert Re-generate certs and confirm CA trust 
No route to host Docker network misconfigured Re-check container names and bridges 
Cluster slots not covered Cluster not bootstrapped Re-run redis-cli –cluster create 
Slow commands Memory or eviction issues Inspect slowlog, tune maxmemory 

9. Appendix: Key Files

docker-compose.yml (pattern for all nodes)

(Omitted for brevity replicate master / replica blocks with unique names and ports)

pom.xml Dependencies

Conclusion

You’ve now built a secure, clustered, SSL-enabled Redis deployment running in Docker and integrated with Spring Boot.With proper monitoring, ACLs, and TLS, your Redis cluster becomes production-ready and compliance-safe. 

To extend this setup with AI-driven caching, personalization, or real-time analytics, connect with our AI Agent Development team. For end-to-end enterprise implementation support, reach out to a trusted AI Development Agency and Company. 

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Written by Shubham Rai

Shubham Rai is a skilled Java Developer passionate about building robust, scalable, and high-performance enterprise applications. He has strong expertise in Java, J2EE, Spring Boot, Hibernate, and RESTful API integration, with hands-on experience in database design, microservices, and cloud deployment. Shubham focuses on writing clean, maintainable code and delivering solutions that enhance performance, security, and user experience across complex software systems.

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