GCP offers multiple compute options, from simple VMs to fully managed Kubernetes.
GCP offers multiple compute options, from simple VMs to fully managed Kubernetes. System Strats picks the right compute service for each workload, configures it for reliability and cost, and manages ongoing operations.
Compute Engine, Cloud Run, and GKE setup
Autoscaling and load balancing
Container registry and CI/CD
Cost optimization for compute workloads
We audit the current GCP environment, usage patterns, and costs, then identify the highest-impact improvements.
We design project, billing, and IAM structure that supports your actual teams and workloads, and implement it through infrastructure as code.
We right-size resources, set up committed use discounts where appropriate, and implement budget and query cost monitoring.
We handle day-two operations, monitoring, security updates, and cost governance as part of ongoing engagements.
We work on GCP for real production workloads across data analytics, compute, and Kubernetes, and we know where the platform's real strengths and sharp edges live. We are honest about when GCP is the right choice and when another cloud would fit better.
Common questions about Google Cloud Compute, GKE & App Hosting, and how System Strats can help.
Depends on the workload. Cloud Run for stateless containers with variable traffic; Compute Engine for traditional workloads; GKE for complex microservice architectures. We help you pick.
Through right-sizing, committed use discounts, sustained use discounts, and autoscaling. We also set up budgets and alerts so surprises do not show up on the invoice.
Yes. We handle cluster design, node pool configuration, upgrades, and day-two operations for GKE environments of all sizes.
Cloud Run and Cloud Functions are excellent for event-driven and request-driven workloads. We use them heavily because they minimize operational overhead.
Tell us about your project and we'll get back to you within 24 hours.