Cluster and node pools
Separate system and application capacity where appropriate; size virtual machines, availability zones, and autoscaling around workload behavior.
Azure technical area · Rollitech
Azure Kubernetes Service (AKS)
Plan Kubernetes clusters, workloads, network access, identity, security, scaling, and day-two operations.
Understand the service
What is Azure Kubernetes Service?
Azure Kubernetes Service is Azure’s managed Kubernetes platform. Microsoft operates the managed control plane, while the customer remains responsible for workload design and many cluster choices, including node pools, networking, identity, policies, secrets, upgrades, and observability. AKS is most useful when containerized workloads benefit from Kubernetes orchestration and the organization can support its operational model.
Technical design
AKS architecture areas
The architecture depends on workloads, identity, connectivity, and the operating model; there is no single design for every organization.
Networking and ingress
Select network plugin and address capacity, define ingress and egress controls, and plan how internal and external services are exposed.
Identity and workload access
Use Microsoft Entra integration and managed identities where suitable, and minimize permissions for operators and workloads.
Images, secrets, and configuration
Connect a container registry, protect secrets, define configuration practices, and establish image scanning and release controls.
Policy and workload protection
Set namespace boundaries, admission controls, resource requests and limits, network policies, and workload security requirements.
Reliability and lifecycle
Plan health probes, disruption handling, storage, backups where applicable, monitoring, upgrade windows, and recovery procedures.
From design to operations
How Rollitech approaches AKS
We clarify scope, assumptions, and ownership before configuration, then validate the result and hand over usable operating guidance.
Validate workload fit
Review container readiness, service dependencies, state, traffic patterns, team skills, and the reasons Kubernetes is required.
Design cluster boundaries
Define environments, cluster ownership, node pools, network exposure, identity, policy, and separation between workloads.
Deploy and test a representative workload
Validate builds, image delivery, ingress, secrets, health checks, scaling, logs, and deployment rollback behavior.
Establish operating practices
Document upgrades, access, incident response, capacity review, security findings, and platform ownership.
Before implementation
Important AKS trade-offs
- Does the workload need Kubernetes, or would a simpler managed application platform meet the requirement?
- How will cluster, namespace, and environment boundaries reflect team ownership and compliance?
- Who owns upgrades, cluster security, application manifests, and operational response after handover?
Build an AKS platform your team can operate.
Discuss workload readiness, cluster boundaries, security expectations, and the support model before deployment.