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Nexastack Managed Kubernetes Cluster

This guide provides a step-by-step walkthrough for onboarding a Nexastack-managed Kubernetes cluster.
These clusters are fully managed and maintained by Nexastack, allowing teams to focus entirely on model deployment and monitoring without the overhead of cluster administration.

What is a Nexastack Managed Cluster?​

A Nexastack Managed Cluster is a pre-configured and fully managed Kubernetes environment provisioned by Nexastack.
It provides a seamless, ready-to-use infrastructure for deploying AI models, managing workloads, and scaling services automatically — all without manual setup or maintenance.

Key Benefits​

  • Zero Maintenance: Nexastack handles provisioning, scaling, monitoring, and upgrades.
  • Optimized for AI Workloads: Pre-tuned for model serving, inference, and data-intensive operations.
  • Integrated Monitoring: Prometheus and Grafana are pre-integrated for performance tracking.
  • High Availability: Managed clusters are configured with built-in redundancy and fault tolerance.
  • Seamless Integration: Works natively with Nexastack’s AI deployment and monitoring tools.

When to Choose a Managed Cluster​

Use a Nexastack-managed cluster when you want:

  • Minimal DevOps involvement — No need to manage Kubernetes manually.
  • Guaranteed compatibility with Nexastack’s deployment engine.
  • Simplified onboarding for teams focused on AI and ML workloads.
  • Centralized management and enterprise-grade support.

If your organization prefers full control or has custom infrastructure requirements, you can instead onboard an On-Premises Cluster.

Onboarding a Managed Cluster​

Follow these simple steps to onboard a Nexastack Managed Kubernetes Cluster.

Step 1: Navigate to Managed Clusters​

  1. From the Nexastack dashboard, go to the Clusters section.
  2. Select the Managed by Nexastack tab.

Step 2: Select Managed Kubernetes​

  1. Click Managed Kubernetes (By Nexastack).
  2. A configuration popup will appear.

Managed Cluster Section

Step 3: Enter Cluster Details​

In the popup dialog:

  1. Enter the Cluster Name — for example, Demo Cluster or AI-Prod-Managed.
  2. Review your input and ensure the cluster name follows your team’s naming conventions.
  3. Click Submit to initiate the onboarding process.

Managed Cluster Popup

Naming Recommendation
  • Use clear, descriptive names for easier tracking (e.g., teamX-managed-cluster or vision-ai-prod).
  • Avoid using special characters or spaces in cluster names.

Step 4: Confirmation​

Once the setup is complete:

  1. A success message will appear confirming that the cluster has been created.
  2. The newly created cluster will now be visible on the Kubernetes Clusters page with the status Active.

Managed Cluster Confirmation

Managed Cluster Ready

Your Nexastack-managed Kubernetes cluster is now successfully onboarded and ready for use.
You can immediately begin deploying models and monitoring workloads.

  1. The newly onboarded cluster will now appear on the Clusters page, displaying its name, type, and status.

Clusters Page

Cluster Management Capabilities​

Once your managed cluster is onboarded, you can:

  • Deploy AI Models: Use the Model Deployment Guide to deploy models seamlessly.
  • Monitor Health: Access integrated Prometheus and Grafana dashboards from the Nexastack interface.
  • Scale Automatically: Leverage autoscaling capabilities for inference workloads.
  • Access Logs and Metrics: View logs, resource usage, and event histories directly in Nexastack.

Best Practices​

  • Use Managed Clusters for Production: They are optimized for stability, performance, and uptime.
  • Leverage Built-In Monitoring: Utilize built-in observability tools instead of setting up external monitoring stacks.
  • Apply Resource Limits: Define clear resource limits for deployed services to optimize performance.
  • Secure Access: Only authorized users should have access to the managed cluster within your workspace.

Next Steps​

  • Deploy your first model using the Model Deployment Guide.
  • Explore monitoring options in the Clusters Dashboard.
  • Onboard additional clusters (e.g., on-premises or Cloud) as needed for workload distribution.
Managed Cluster Onboarded Successfully

Congratulations! 🎉
Your Nexastack-managed Kubernetes cluster is active and fully integrated into the platform.
You can now deploy AI models, monitor performance, and scale workloads — all through Nexastack’s unified interface.