Globberry Capacity Management vs Google Cloud Capacity Planner

Globberry Capacity Management monitors infrastructure resources and helps organizations plan future needs. AI-driven models forecast demand, while what-if analysis examines capacity requirements and network expansion scenarios. One interface covers compute, storage, network, licenses, and application resources across network functions, telco and IT cloud, VNFs/CNFs, and storage. Named environments include OpenStack, OpenShift, and VMware. Usage can be viewed by region, datacenter, cluster, or server. Customizable dashboards and KPIs present usage, capacity, and expected demand. Real-time and scheduled reports, plus configurable alerts, highlight shortages and capacity risks. The product connects with existing monitoring and management tools and integrates with Globberry’s Network Planning solution. It is built on the Pangolin platform, which provides customizable interfaces and data modeling. Globberry lists consulting, deployment and integration support, and ongoing assistance. Listed use cases include cost control, workload balancing, and resource-allocation decisions for telecom providers and large enterprises. Pricing is available on request.

Google Cloud Capacity Planner shows current and forecasted use of Google Cloud resources to help teams plan capacity and quota needs. It covers Compute Engine instances, Persistent Disk and Hyperdisk volumes, GPUs, TPUs, and Cloud Storage bucket egress bandwidth. Forecasts combine linear and superlinear models, with yearly seasonality for scopes holding at least two years of usage history. Compute usage is available at P50, P75, and P99 percentiles; Cloud Storage bucket usage is shown at P100 only. Historical usage spans up to two years, forecasts up to six months, and historical forecast snapshots up to one year. Usage is sampled every five minutes and displayed within 24 hours; Overview insights refresh at least every 48 hours. Data can be exported as CSV or through the REST API to Cloud Storage or BigQuery. The API supports project, folder, and organization scopes. The service costs nothing, but billable Google Cloud resources used with it are charged separately. It is in Preview under Pre-GA terms, may have limited support, and some organizations may need to request access.