Kubernetes Support in NCache
Accelerate Your Cloud-Native Applications with NCache
Deploy NCache as a cloud-native, highly available and scalable distributed cache within Kubernetes environments, including Azure Kubernetes Service (AKS), AWS Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Red Hat OpenShift.
Key Benefits
- Provides ultra-fast in-memory caching for low-latency applications
- Works seamlessly with Kubernetes orchestration with auto-scaling
- Ensures highly available & self-healing architecture
- Offers enterprise-grade reliability with built-in management tools
- Designed and optimized for .NET
Why NCache on Kubernetes?
Kubernetes has become a widely recognized standard for deploying and managing containerized applications. However, high-performance applications require a distributed caching layer that scales effortlessly while maintaining high availability.
- Elastic Scalability
- Dynamically scale caching nodes up or down depending on application workload.
- Kubernetes-native auto-scaling ensures that cache resources scale dynamically.
- Enterprise-Grade Reliability
- Self-healing architecture with automatic failover and recovery.
- Supports zero downtime deployments with rolling updates and pod restarts.
- Automated Management
- Kubernetes-native monitoring & control via the NCache Kubernetes Operator (Coming Soon).
- Automated provisioning, scaling, and license activation.
- Portability
- Ensures consistent deployments across cloud and on-prem Kubernetes environments.
- Deployable on any Kubernetes cluster, including AKS, EKS, GKE, OpenShift, and self-hosted clusters.
- Service Discovery
- NCache Discovery Service enables automatic detection of cache nodes without requiring static IPs.
- Clients connect dynamically to cache servers using Kubernetes DNS-based resolution.
Supports .NET, Java, and Microservices architectures.
NCache Kubernetes Architecture & Components
NCache is fully containerized and Kubernetes-native, which makes it an ideal choice for caching in cloud-native applications.
Key NCache Kubernetes Components
- NCache Discovery Service: A headless Kubernetes service that enables clients to dynamically locate NCache server Pods using DNS-based resolution.
- NCache Management & Monitoring Gateway: A dedicated gateway service that provides external access for managing, monitoring, and configuring NCache clusters.
- NCache Kubernetes Operator (Coming Soon): A Kubernetes-native operator that automates cache deployment, scaling, license activation, and deactivation.
- Persistent Data Volumes (Optional): Configure persistent storage for specific caching scenarios data retention is required.
How NCache works in Kubernetes?
NCache is a distributed, in-memory caching solution that improves application performance by reducing database load and increasing response times. Its Kubernetes-native integration enables automated deployment, scaling, and self-healing.
Common Use Cases
- Cloud-Native Applications: Enhance the performance of containerized applications.
- Microservices & APIs: Enable stateful caching for microservices-based architectures.
- Session Management: Securely and efficiently store user session data.
- Database Caching: Reduce database load and accelerate read-intensive workloads.
Supported Kubernetes Environments
NCache offers full support for major managed Kubernetes services, which allows enterprises to deploy a highly available, auto-scalable caching layer across public, private, and hybrid cloud environments.
- Efforless deployment and management within Azure.
- Integrate with Azure Monitor and Log Analytics for real-time insights.
- Full support for AWS IAM role-based access control (RBAC).
- Monitor cache performance using Amazon CloudWatch.
Google Kubernetes Engine (GKE)
- Utilize GCP-native IAM and Stackdriver Logging.
- Dynamically auto-scale caching resources.
- Deploy NCache in OpenShift clusters with full support for Operator-based deployments (Coming Soon).
- Integrate with OpenShift Service Mesh to improve inter-service communication.
How to Deploy NCache on Kubernetes?
Step 1: Install NCache in Your Kubernetes Cluster
- Download and apply the necessary Kubernetes YAML files.
- Configure your caching topology (replicated, partitioned, etc.).
- Enable auto-scaling based on application traffic.
Step 2: Connect Your Applications to NCache
- Use NCache client libraries for .NET, Java, Node.js, and Python.
- Ensure high availability with distributed caching.
Step 3: Monitor & Optimize Performance
- Leverage built-in dashboards for real-time monitoring.
- Set up alerts and key metrics for cache health tracking.
Get Started with NCache for Kubernetes
Why Choose NCache?
What to Do Next?