Comparison · Cloud Infrastructure
GKE, EKS and AKS: Kubernetes Operational Responsibilities
Managed Kubernetes reduces control-plane operations, while application security, namespace authorization, image policy and data recovery remain design responsibilities. GKE, EKS and AKS…
Technical review:
Architecture and operating model
Managed Kubernetes reduces control-plane operations, while application security, namespace authorization, image policy and data recovery remain design responsibilities. GKE, EKS and AKS share Kubernetes concepts but differ in node, networking and identity integration.
Compare the chosen operating modes: GKE Standard/Autopilot, EKS nodes/Fargate/managed options and AKS node pools or supported management modes do not expose identical responsibilities. Record region/version scope instead of treating defaults as universal advantages.
Test persistent-volume snapshots for application consistency and restoration to another cluster. Identical-looking YAML can still depend on provider storage classes, load-balancer annotations, identity bindings and egress behavior.
- 1Application/namespace
- 2Pod identity/network
- 3Nodes/upgrades
- 4Data/acceptance test
Design parameters
- Node lifecycle
- Determine patching, drain, surge capacity and support windows in the chosen mode.
- Network address capacity
- Pod/service CIDRs, CNI and IP allocation affect growth limits.
- Workload identity
- Use supported workload identity rather than long-lived cloud keys in pods.
Platform implementation
Service names are reference points. Scope, defaults, region availability and operating requirements differ; they are not interchangeable guarantees.
| Platform | Core integration | Pilot focus |
|---|---|---|
| GKE | Google Cloud IAM/VPC | Standard/Autopilot boundary |
| EKS | AWS IAM/VPC | Node/compute and IP model |
| AKS | Entra/Azure networking/disks | Node pools, identity and upgrade |
Worked example
For a six-node application, preserve capacity during a node upgrade. Pilot identical replicas, requests, disruption budgets and traffic on all platforms. Include cluster, load balancer, NAT/egress, logs and volumes; do not claim exact totals without current tariffs.
Troubleshooting
| Observation | Likely cause / distinction | Verification |
|---|---|---|
| Upgrade disrupts pods | Insufficient replicas, PDB or surge capacity. | Inspect drain events and pending-pod reasons. |
| Migrated YAML fails | Provider-specific storage/identity dependency. | Compare annotations, classes and IAM bindings. |
Acceptance checks
- Specify the operating mode.
- Pilot node upgrades.
- Test pod identities.
- Calculate IP growth.
- Restore into another cluster.
- Include dependent-service costs.
Related concepts
Isolation versus virtualization
Containers and VMs provide different isolation boundaries. Containers share the host kernel; VMs run guest operating systems. Rootless execution, namespaces and capability restrictions can reduce risk, but configuration and host security still matter. Images, running containers and persistent volumes have separate lifecycles. Updating an image does not back up data. Verify process privileges, mounts, network access and persistence after recreation separately.
Availability versus recovery
High availability aims to keep service running through specified failures with a short interruption; backup recovers lost or corrupted data from an earlier point. A cluster can replicate an accidental deletion to another node. HA therefore does not replace backup. Consider DNS, identity, network, storage and power dependencies together. Successful node failover is insufficient by itself: measure user sessions, application writes and external integrations after the transition as well.
Version and support lifecycle
Installability does not prove production support. Review the compatibility chain across OS, application, drivers, extensions and management tools. Update plans should record version, support end, restart needs and rollback methods. An unrepresentative test environment can produce misleading results. Validate service health and existing workflows after a change, not just version numbers. Remember that pinning a version can also prevent future security fixes.
Authentication and sessions
Authentication proves who a user or workload is; authorization determines what that identity may do. Successful sign-in does not grant access to every resource. User sessions, service identities, API tokens and device certificates have different lifecycles. Design session duration, token renewal, employee departure, lost-device handling and emergency access alongside initial sign-in. Measure which existing sessions remain usable and which new accesses are denied when the identity provider becomes unavailable.
Capacity and usable headroom
Raw capacity is not the capacity available to applications. RAID or erasure coding, filesystems, reserved space, metadata, snapshots and growth headroom are separate deductions. TB and TiB representations also change the displayed number. Write calculations with units, establish protected usable capacity, then subtract operating reserves. Track growth rate as well as current utilization. The projected exhaustion date should leave enough time to procure and deploy additional capacity.
Cost boundaries
Cost includes more than purchase price or a monthly resource bill. Licensing scope, storage, egress, backup, support, operating effort and disruption impact are separate items. Compare equal service levels, capacity and time periods; a cheaper option may exclude an obligation. Compare forecast and actual spending by resource or business unit. Assess underuse risk for commitments and uncontrolled growth for flexible models. Verify pricing and licensing conditions against official documents at decision time.
Primary documentation
Prepared by the Doz Teknoloji technical team using the primary references below. Calculations and lab scenarios state their assumptions; validate the applicable product version before rollout.