The Nexqloud Advantage: When to Use Each Technology

Information about when to use each NexQloud technology

Architectural Comparison: A Side-by-Side View

Side-by-side comparison of architectural approaches

A Complementary, Not Competitive, Relationship

How NexQloud technologies complement rather than compete

Your Partner in Architectural Design

NexQloud's role as a partner in architectural design

Summary: Making the Strategic ChoiceYour Partner in Architectural Design

Strategic guidance for choosing the right architectural approach

NexQloud Knowledge Base

Discover tailored support solutions designed to help you succeed with NexQloud, no matter your question or challenge.

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TOPICS

What is DKS and how does it compare to AWS EKS or Google GKE?

How do I create my first Kubernetes cluster on DKS?

What Kubernetes versions are supported and how often are they updated?

Can I migrate existing Kubernetes workloads to DKS without modifications?

NexQloud's DKS is architected for seamless compatibility with standard Kubernetes workloads, ensuring that existing applications, configurations, and operational procedures can be migrated without requiring code changes or architectural modifications. This compatibility commitment reflects our understanding that kubernetes platform adoption should enhance rather than disrupt existing development workflows. The migration process is designed to minimize risk while demonstrating the immediate cost and performance benefits of decentralized infrastructure.

Workload compatibility extends beyond basic functionality to include advanced Kubernetes features, custom resource definitions, and complex networking configurations. Our platform maintains full API compatibility while providing enhanced capabilities that improve upon traditional managed Kubernetes services.

Migration Compatibility Areas:

Application Workloads: Standard deployments, services, and ingress configurations migrate without modification, including [Information Needed - specific workload types tested and validated for migration]
Storage and Persistence: Existing PersistentVolume configurations and StatefulSets transfer seamlessly with [Information Needed - supported storage classes and migration procedures for persistent data]
Networking and Security: Network policies, RBAC configurations, and security contexts maintain full functionality with [Information Needed - networking compatibility details and security feature preservation]
Custom Resources and Operators: Support for existing CRDs, operators, and custom controllers including [Information Needed - operator compatibility testing and custom resource migration validation]

Migration Tools and Process:

Automated migration tools facilitate [Information Needed - specific migration tool capabilities and supported source platforms], including configuration analysis, compatibility validation, and [Information Needed - migration timeline and validation procedures]. The migration process typically completes within [Information Needed - typical migration duration and validation timeline].

Validation and Testing Support:

Comprehensive testing frameworks enable [Information Needed - available testing and validation tools for migration verification], ensuring that migrated workloads perform optimally on decentralized infrastructure while maintaining all original functionality and performance characteristics.