Cloud Foundry vs Gcore

What Cloud Foundry is

Cloud Foundry is an Apache-licensed, openly governed application-platform ecosystem. Developers push supported application code through the cf CLI and platform API; operators provide routing, buildpacks, container scheduling, identity, logs, quotas and service integrations. The software has no license fee, but a production foundation still requires infrastructure, load balancers, DNS/TLS, databases, blob stores, monitoring, backups, updates and skilled operations—or a separately priced commercial distribution or managed provider. Certification verifies required core components for a specific program year; it is not the same as generic API compatibility or an uptime guarantee.

What Gcore is

Gcore is a proprietary edge and cloud provider with virtual machines, bare metal, managed Kubernetes, containers, functions, storage and networking across a region-dependent footprint. Its current VM page advertises Standard dedicated-vCPU instances from €8.93 per month, free egress and compute billing only while instances are active; prices exclude VAT and vary by location and configuration. The wider cloud calculator shows separate pricing for storage, addresses, load balancers and other services. Pay-as-you-go capacity is available rather than guaranteed, and retained resources must be checked individually when compute stops or is deleted.

What Cloud Foundry is built to do

cf push workflow

Stages supported source or artifacts with buildpacks and schedules application instances.

Organizations and spaces

Scopes applications, routes, services, quotas and role-based access for multiple teams.

Service broker model

Provisions and binds managed services through the Open Service Broker API.

UAA identity

Provides OAuth-based platform identity with configurable LDAP and SAML federation.

What Gcore is built to do

Virtual infrastructure

Offers shared or dedicated-vCPU virtual machines, GPU options and bare metal in selected regions.

Container services

Provides managed Kubernetes and managed container execution with separately billed worker resources and options.

Storage and networking

Combines block, file and object storage with IP, load-balancing and edge-network services.

API automation

Exposes project- and region-scoped infrastructure actions through authenticated APIs.

Choose Cloud Foundry if

• Large application portfolios that conform to buildpack or supported container workflows
• Organizations prioritizing consistent developer experience across infrastructure choices
• Internal platforms with dedicated owners for upgrades, security, observability and disaster recovery

Skip Cloud Foundry if

• The organization has only a few simple services and no platform-operations capacity
• Applications require privileged hosts, unusual kernels or infrastructure-level control
• The selected distribution has no verified lifecycle, support, certification or backup responsibility

Choose Gcore if

• Latency-sensitive workloads after testing the exact target Gcore region
• VM or Kubernetes deployments that benefit from eligible included egress
• Teams managing infrastructure through APIs and explicit lifecycle automation

Skip Gcore if

• The budget assumes the advertised starting VM price includes every disk, IP, license and service
• The architecture requires guaranteed on-demand capacity without a suitable committed agreement
• A product-specific SLA or compliance badge is being treated as platform-wide coverage

Cloud Foundry: pros & cons

• Developer abstraction: A consistent cf push workflow hides much of the infrastructure configuration from application teams.
• Open governance and source: Foundation projects use open contribution, design and governance processes.
• Infrastructure choice: Cloud Foundry can be deployed on multiple IaaS environments or consumed through commercial offerings.
• Platform controls: UAA identity, RBAC, orgs, spaces, quotas, routing, logs and service brokers provide multi-team governance.
• Free software has real operating cost: Production topology, infrastructure, upgrades, security and recovery need a platform team.
• Provider experience varies: Buildpacks, services, extensions, support, certification and pricing differ among distributions.
• State remains external: Databases and bound services need their own durability, credential and restore strategy.
• Not general compute: The opinionated application model is a poor fit for workloads needing unrestricted hosts or unusual system dependencies.

Gcore: pros & cons

• Distributed footprint: Cloud regions and edge-network services can place workloads near geographically diverse users.
• Flexible infrastructure: Virtual machines, bare metal, Kubernetes, containers, functions and storage share one platform.
• Automation support: The control panel, documented API and Terraform-oriented workflows enable repeatable provisioning.
• Active-compute billing: Current VM positioning waives VM compute while stopped and includes egress for eligible VM offers.
• Headline price is conditional: VM family, region, storage, operating system, IPs and VAT change the total.
• Stopped compute is not the whole bill: Persistent storage, snapshots, addresses and adjacent services can remain chargeable.
• Capacity and terms vary: Pay-as-you-go capacity is provided as available, while spot and committed orders have different rules.
• Service-level claims are product-specific: A Kubernetes or Functions SLA must not be assumed to cover every cloud component.