G2

Prijesh D.

Data Engineer

Mid-Market (51-1000 emp.)

11/10/2026

"GKE Autopilot Simplifies Kubernetes Ops with Smooth Google Cloud Integration"

4/5

What do you like best about Google Kubernetes Engine (GKE)?

GKE is a managed Kubernetes service where Google operates the control plane and handles upgrades and patching, which lets my team focus on our applications rather than the underlying infrastructure. Autopilot mode eliminates most node management and bills based on the resources pods request, keeping day-to-day operations straightforward for smaller teams. Autoscaling also helps applications ramp up with traffic and then scale back down when demand drops, which can help control costs. Integration with Google Cloud services such as IAM, Logging, Monitoring, Artifact Registry, Cloud Build, and BigQuery feels smooth, and built-in security features like Workload Identity and Binary Authorization are a strong part of the overall experience. Review collected by and hosted on G2.com.

What do you dislike about Google Kubernetes Engine (GKE)?

Kubernetes is inherently complex, so new users need time to get comfortable with networking, IAM, ingress, and YAML configuration. Costs are also hard to predict: between the per-cluster management fee and additional charges for load balancers and egress traffic, the bill can be difficult to estimate upfront. Autopilot comes with restrictions as well—for example, limits around privileged containers and custom node configuration—and costs can climb if pod requests aren’t sized appropriately. On top of that, troubleshooting networking issues or permission errors can be time-consuming. Review collected by and hosted on G2.com.

What problems is Google Kubernetes Engine (GKE) solving and how is that benefiting you?

GKE addresses the challenge of running containerized applications reliably in production. Without a managed service, my team would need to set up, upgrade, patch, and scale Kubernetes clusters ourselves, which requires dedicated operations effort. With GKE, Google handles much of the cluster management, so we can spend less time on ops and more time building the product.

Features like regional clusters and auto-repair help reduce downtime. CI/CD supports consistent, repeatable releases, and autoscaling, Spot VMs, and the Autopilot pay-per-pod model help ensure we’re only paying for what we actually use. And because it’s standard Kubernetes, vendor lock-in is lower and it’s easier to move workloads when needed. Review collected by and hosted on G2.com.