Introduction
Modern cloud‑native applications require high performance, low latency, and horizontal scalability. One of the most effective ways to achieve this is by implementing a distributed caching layer using Redis deployed on Kubernetes, integrated seamlessly with .NET 10.
This article provides a complete, production‑ready guide to:
- Deploy Redis on Kubernetes
- Configure high availability and persistence
- Integrate Redis caching in a .NET 10 application
- Implement distributed cache patterns
- Optimize performance and observability
1. Architecture Overview
Key Components
- Kubernetes Cluster – Hosts application and Redis workloads
- Redis Deployment / StatefulSet – Provides in‑memory caching
- .NET 10 API Service – Consumes Redis for distributed caching
- ConfigMaps & Secrets – Manage configuration securely
- Ingress / Service – Expose application endpoints
High‑Level Flow
- Client requests data from .NET API
- API checks Redis cache first
- If cache miss → fetch from database
- Store result in Redis with expiration
- Return response to client
2. Deploy Redis on Kubernetes
2.1 Namespace
apiVersion: v1kind: Namespacemetadata: name: redis-system2.2 Redis StatefulSet (Production Ready)
apiVersion: apps/v1kind: StatefulSetmetadata: name: redis namespace: redis-systemspec: serviceName: redis replicas: 3 selector: matchLabels: app: redis template: metadata: labels: app: redis spec: containers: - name: redis image: redis:7.2 ports: - containerPort: 6379 args: - "--appendonly" - "yes" volumeMounts: - name: redis-data mountPath: /data volumeClaimTemplates: - metadata: name: redis-data spec: accessModes: ["ReadWriteOnce"] resources: requests: storage: 5Gi2.3 Redis Service
apiVersion: v1kind: Servicemetadata: name: redis namespace: redis-systemspec: clusterIP: None selector: app: redis ports: - port: 6379 targetPort: 63793. Install Redis Using Helm (Recommended)
helm repo add bitnami https://charts.bitnami.com/bitnamihelm install redis bitnami/redis \ --set architecture=replication \ --set replica.replicaCount=2 \ --set auth.enabled=trueBenefits of Helm deployment:
- Built‑in replication & failover
- Secure password authentication
- Easy upgrade & rollback
4. .NET 10 Distributed Cache Integration
4.1 Install NuGet Packages
dotnet add package Microsoft.Extensions.Caching.StackExchangeRedisdotnet add package StackExchange.Redis4.2 Configure Redis in Program.cs
using Microsoft.Extensions.Caching.StackExchangeRedis;var builder = WebApplication.CreateBuilder(args);builder.Services.AddStackExchangeRedisCache(options =>{ options.Configuration = builder.Configuration["Redis:Connection"]; options.InstanceName = "app-cache:";});var app = builder.Build();5. Implement Distributed Caching Service
public interface ICacheService{ Task<T?> GetAsync<T>(string key); Task SetAsync<T>(string key, T value, TimeSpan? expiry = null); Task RemoveAsync(string key);}public class RedisCacheService : ICacheService{ private readonly IDistributedCache _cache; public RedisCacheService(IDistributedCache cache) { _cache = cache; } public async Task<T?> GetAsync<T>(string key) { var data = await _cache.GetStringAsync(key); return data is null ? default : JsonSerializer.Deserialize<T>(data); } public async Task SetAsync<T>(string key, T value, TimeSpan? expiry = null) { var options = new DistributedCacheEntryOptions { AbsoluteExpirationRelativeToNow = expiry ?? TimeSpan.FromMinutes(10) }; var json = JsonSerializer.Serialize(value); await _cache.SetStringAsync(key, json, options); } public async Task RemoveAsync(string key) { await _cache.RemoveAsync(key); }}6. Use Cache in Controller
[ApiController][Route("api/products")]public class ProductsController : ControllerBase{ private readonly ICacheService _cache; public ProductsController(ICacheService cache) { _cache = cache; } [HttpGet("{id}")] public async Task<IActionResult> Get(int id) { var cacheKey = $"product:{id}"; var product = await _cache.GetAsync<ProductDto>(cacheKey); if (product != null) return Ok(product); // Simulate DB call product = new ProductDto { Id = id, Name = "Demo Product" }; await _cache.SetAsync(cacheKey, product, TimeSpan.FromMinutes(5)); return Ok(product); }}7. Kubernetes Deployment for .NET 10 API
apiVersion: apps/v1kind: Deploymentmetadata: name: dotnet-apispec: replicas: 2 selector: matchLabels: app: dotnet-api template: metadata: labels: app: dotnet-api spec: containers: - name: api image: yourrepo/dotnet10-api:latest ports: - containerPort: 8080 env: - name: Redis__Connection value: "redis.redis-system.svc.cluster.local:6379"8. Production Best Practices
Security
- Enable AUTH password or Redis ACL
- Store secrets in Kubernetes Secrets
- Restrict access via NetworkPolicies
Performance
- Use connection pooling
- Apply TTL strategy per data type
- Avoid caching extremely large objects
High Availability
- Use Redis Sentinel or Redis Cluster
- Configure PodDisruptionBudget
- Enable persistent storage
Observability
- Export metrics with Redis Exporter + Prometheus
- Visualize via Grafana dashboards
- Monitor cache hit ratio & latency
9. Common Caching Patterns
Cache‑Aside (Recommended)
- Read cache
- If miss → read DB
- Save to cache
Write‑Through
- Update cache and DB simultaneously
Write‑Behind
- Write cache first → async persist to DB
Conclusion
Implementing Redis distributed caching on Kubernetes with .NET 10 dramatically improves:
- API response time
- System scalability
- Infrastructure resilience
By combining Helm‑based Redis deployment, .NET distributed cache abstraction, and cloud‑native observability, you achieve a fully production‑ready caching architecture suitable for modern microservices platforms.