Cloud Foundry vs Docker

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 Docker is

Docker has fundamentally changed how software is built, shipped, and run. It allows developers to package applications and all their dependencies into standardized units called 'containers.' This ensures that your app runs exactly the same way on your laptop, a staging server, or a production cloud environment. It eliminates the 'it works on my machine' problem forever. By isolating applications from the underlying infrastructure, Docker makes it easy to scale services and manage complex microservices architectures.

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 Docker is built to do

Containerization

Package your code, runtime, and libraries into a single, portable unit.

Docker Compose

Define and run multi-container applications using simple YAML files.

Docker Hub

The world's largest library of pre-configured application images.

Volumes

Persistent data storage that lives outside the lifecycle of the container.

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 Docker if

• DevOps Engineers and Software Developers.

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.

Docker: pros & cons

• Environment Consistency: Guarantees your app behaves the same everywhere.
• Resource Efficiency: Uses fewer resources than traditional virtual machines.
• Rapid Deployment: Containers start in seconds, speeding up your CI/CD pipelines.
• Massive Ecosystem: Thousands of ready-made images available on Docker Hub.
• Learning Curve: Understanding layers, volumes, and networking takes significant time.
• Security: Requires careful configuration to ensure containers are properly isolated.
• Storage Overhead: Managing many images and containers can consume large amounts of disk space.