Managed cluster provisioning
Create clusters with agreed configuration so teams do not repeat setup decisions for every environment.
Products
Nazm Kubernetes
A container platform your operating team can understand.
Nazm Kubernetes connects deployment choices with the work of running a cluster. Scaling, updates and recovery need a team that understands the configuration and its dependencies. Review a sample release and a failed update before agreeing the platform, operating roles and handover information.
A container platform introduces responsibilities for deployment, networking, configuration and cluster operations.
Inside the workspace
Nazm Kubernetes: a closer look
Explore how the product could bring its tools and working records into one view. Review the workflow design during your product walkthrough.
Features & client solutions
What this helps your team solve
Connect each capability to a day-to-day task and a practical result your team can evaluate.
Auto-scaling & self-healing
Use scaling and recovery policies to respond to workload changes and failed containers.
Built-in monitoring & logging
Review workload metrics and logs together when diagnosing an unhealthy service.
Bring one example from your daily work. We can review the records involved, who owns each step and which integrations are needed before defining the implementation scope.
Discuss your workflowProduct fit
Nazm Kubernetes for the way your team works
We review whether the workload and team need that model before configuring it. Day-to-day visibility and upgrade planning are part of the decision.
Areas to assess in a walkthrough
- Managed cluster provisioning
- Auto-scaling & self-healing
- Built-in monitoring & logging
- CI/CD pipeline integration
- Multi-tenancy support
In practice
Nazm Kubernetes: a practical example
Deploy a sample service, roll out a change and recover from a failed update. Review whether the team can explain the cluster's operating tasks. The platform choice should fit the workload and the people who will maintain it.
An illustrative scenario to discuss when planning your project.From records to decisions
How your team works with Nazm Kubernetes
The people involved include platform engineers, development teams and reliability owners. Begin with a small, representative set of container images, workload manifests, cluster policies and resource limits, then identify the decision or action each role needs to complete. This helps shape a useful first release and avoids collecting information that nobody uses.
Plan who operates the system after launch.
A working setup needs more than a successful first deployment. Agree access, environment boundaries, monitoring, recovery and change ownership. Review a normal operation and an interrupted one before handover, with clear instructions for diagnosing the issue and deciding whether to retry, restore or roll back.
Implementation approach01 02 03 04
From agreed scope to everyday use
Review the starting point
Identify the current sources of container images, workload manifests, cluster policies and resource limits. Check data quality, shared references and required fields before agreeing what will be migrated, connected or recreated.
Define roles and connections
Review the needs of platform engineers, development teams and reliability owners. Document permissions, required integrations, the authoritative system for each record and what happens when information cannot be exchanged.
Test an end-to-end case
Use safe sample data to deploy a workload, inspect an unhealthy pod and verify the agreed recovery behavior. Agree expected results, review exceptions and record acceptance decisions before widening access.
Prepare the operational handover
Name the configuration owner, change decision-maker and support contact. Plan training and documentation around ordinary tasks, then review early use under the agreed support arrangement.
Practical details
Questions before getting started
What should we bring to the first walkthrough?
Prepare examples of container images, workload manifests, cluster policies and resource limits, with confidential details removed. Explain the step that takes the most effort or causes confusion, and identify who needs to review the result.
How do we decide whether it fits our work?
We define a scenario that lets your team deploy a workload, inspect an unhealthy pod and verify the agreed recovery behavior. Compare the result with the current process and document requirements and gaps before approving the implementation scope.
Can it connect to our existing systems?
The required systems and data sources are reviewed first. The integration plan covers access, field mapping, transfer timing and responsibility for errors. The proposal identifies included connections and any custom work needed.
How are pricing and support agreed?
The proposal considers features, users or workload, the operating environment, integrations and migration. Training, operational ownership and the support arrangement are agreed alongside the implementation scope.