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Cloud Foundry vs Kubernetes

A source-aware comparison of pricing, documented capabilities and workflow fit.

Short answer

These lines are generated from the pricing we track, not from a paid placement. How we score tools.

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 Kubernetes is

Kubernetes schedules containers across a cluster and keeps them running as declared. It is the industry standard for container orchestration, and also a large amount of complexity to take on. It earns its place when you genuinely need rolling deploys, self-healing and horizontal scaling across many services. Below that threshold the cluster itself becomes the work, which is why smaller teams often get further with a managed platform.

Side by side

Cloud FoundryKubernetes
CategoryHostingDeveloper Tools
How to startFreeverifiedFreeverified
Public APIYesYes
Mobile appNoNo
Open source / self-hostableYesYes
SSO (SAML)YesNo
VisitCloud FoundryKubernetes

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 Kubernetes is built to do

Declarative scheduling
Runs workloads to match a declared desired state and restarts what drifts.
Service discovery and load balancing
Gives workloads stable names and distributes traffic between replicas.
Horizontal autoscaling
Adds or removes replicas based on observed resource metrics.

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 Kubernetes if

  • Teams running many services at scale, or needing cloud portability.

Evidence and freshness

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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.

Kubernetes: pros & cons

  • The standard, with the largest ecosystem and hiring pool
  • Portable across every major cloud
  • Handles scaling, rollout and self-healing declaratively
  • Steep learning curve and significant operational burden
  • Overkill for a handful of services
  • Cost of a managed control plane adds up

Our verdict on Cloud Foundry

Cloud Foundry remains a capable open application-platform abstraction, but its business case depends on portfolio scale; price the whole foundation and operators, validate the chosen distribution, and restore-test platform state plus every external service before standardizing on cf push.

Our verdict on Kubernetes

Right when you genuinely have the scale for it. Many teams adopt it far earlier than their problems justify.

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