The most common pattern: teams pick Google Cloud because "it's what Google uses" without understanding what that means for their workload. GCP's strengths are specific — Kubernetes, networking, data analytics. If you're not using those, you might be paying for capabilities you don't need.

We also see GKE deployed when Cloud Run would suffice. Kubernetes is powerful but complex. Teams spin up clusters for applications that would run fine as serverless containers, then spend months learning Kubernetes instead of shipping features.

Another pattern: ignoring networking until it's a problem. Google Cloud's networking is excellent — but VPCs, firewall rules, and load balancers need configuration. Teams that skip this work end up with security holes or performance problems that are expensive to fix later.

Cost surprises happen too. GCP pricing is competitive but not simple. Egress costs, sustained use discounts, committed use contracts — teams that don't monitor spend discover problems when the invoice arrives. We set up billing alerts and cost visibility from day one.

We're not here to judge how you got here. We assess what exists and figure out what makes sense going forward.