March 22, 2022

Cloud Foundry vs Kubernetes: Which One is Better?

By Rahul Arun

Cloud Foundry vs Kubernetes: A Comprehensive Comparison of Containerization Platforms

As more and more businesses migrate to cloud-based infrastructures, choosing the right containerization platform has become increasingly important. Cloud Foundry and Kubernetes are two of the most popular containerization platforms on the market, but they have different approaches to managing applications. While both platforms have their advantages and disadvantages, understanding their differences can help you make an informed decision about which one is better for your business.

Cloud platforms and technologies allow developers and software engineers to build and deploy systems, applications, and services that can be accessed from anywhere across the globe and ones that can scale easily to handle more or less traffic cost-effectively without the owners having to incur heavy costs on additional infrastructure. Yet still, developers have to choose the right platforms and stack of tools to design, build and deploy applications. The right stack will save them the hassle of writing code from scratch to have them focus on developing their application or application features.

The kind of platform you choose to deploy your applications or services on, whether IaaS (Infrastructure as a service) or PaaS (Platform as a service), will determine how your workflows will run. Developers specifically use PaaS platforms for building and deploying applications because PaaS offers a higher level of abstraction compared to IaaS. Because everything is shifting to the cloud for the convenience it offers, AWS Developer Associate Certification for developers hoping to make it in this field is a must right from entry-level roles.

Cloud Foundry vs Kubernetes: A Comparative Analysis for Containerization

Cloud platforms are different in many ways including their offerings, capacity, and performance. Cloud Foundry and Kubernetes are two PaaS and container orchestration options respectively that developers have used widely across the globe to deploy and run applications and services on the cloud. They share similarities such as containerization, authentication, and name-spacing. Yet, they are distinct in their application delivery approach.

Overview of Cloud Foundry

Cloud Foundry is an open-source platform as a service (PaaS) first developed by VMware and is used for building, deploying, running, and scaling applications and services on the cloud. Cloud Foundry features a self-service application execution engine, application deployment and lifecycle management automation engine, as well as a scriptable command-line interface (CLI), and is integrable with a range of deployment tools. It also supports several programming languages including Java, Ruby, Python, PHP, NODE.js, .NET CORE, and more. Its open architecture lets developers integrate their preferred development frameworks. Developers can also integrate their preferred cloud infrastructure whether third-party like AWS and GCP or Cloud Foundry supported platforms like IBM Bluemix Cloud Foundry, SAP Cloud Foundry, Swisscom Application cloud. This makes it a highly customizable platform and a top preference for developers since they do not have to get involved with managing the underlying infrastructure.

With a range of cloud platforms, frameworks, languages supported, and application services, Cloud Foundry makes it easier and faster for developers to deliver applications as they do not have to go into writing code or configuring infrastructure.

Cloud Foundry architecture comprises the following components:

  • Routing for directing incoming traffic to the right component
  • Authentication comprises OAUTH2 and login servers for identity management.
  • Application lifecycle comprises the Cloud Controller (CC), Cloud Foundry Diego components, and nsync for application deployment and services management.
  • Application storage and execution comprises Blobstore a repository for large binary files and Diego cell that manages Garden containers.
  • Services support application development. Services encompass databases, service brokers, and messaging for provisioning instances for the services.
  • Metrics and logging. The Log aggregator streams application logs and the metrics collector collects statistics from components.

Application instances deployed on Cloud Foundry run on isolated environments with all the dependencies that they require to run in what is known as a Garden container.

Cloud Foundry presents the following benefits to developers

  • Faster development and deployment of portable applications
  • Automated workflows
  • Automatic vertical and horizontal scaling of infrastructure and application
  • Centralized administration and logging
  • DevOps support
  • Integration with external logging components
  • Secure infrastructure
  • Role-based access for applications

What is Kubernetes?

Kubernetes is an open-source container and services orchestration platform that is used to manage the lifecycle of containerized applications across environments. It is easily extensible, supports both declarative configuration and automation, and allows several containers to run in parallel in a cluster to enable load balancing ultimately accelerating application development and simplifying operations. Unlike Cloud Foundry, Kubernetes is a Docker container management rather than an application management system. Kubernetes schedules nodes within a cluster.

Kubernetes architecture is made up of the following components:

Control Plane

  • Kubernetes API server configures the data for API objects which comprise pods, services, replication controllers, and others to manage the state of the objects.
  • The scheduler assigns tasks and the resources required to execute the tasks to nodes ensuring that the performance of the nodes is maintained to the required level.
  • Controller manager maintains the operations of shared state in a cluster

Individual worker nodes

  • Kubelets are the primary node agents that track the state of pods to maintain optimum operations for all containers.
  • Kube Proxy is a network proxy that routes traffic to each node in the cluster.
  • etcd a highly available key-value store that Kubernetes uses as its backing for cluster data.

Kubernetes presents the following benefits to developers

  • Load balancing where traffic within a container increases beyond its capacity
  • System orchestration where developers can provision their preferred storage system.
  • health -check and Self-healing where all failed containers are either automatically restarted, relaced, or killed. Containers within failed nodes are distributed to other nodes.
  • Automatic rollouts and rollbacks allow developers to use Kubernetes to declare their desired state for the containers being deployed and Kubernetes will change the actual state of the containers to the desired state.
  • Dynamic autoscaling of workloads on-demand. Kubernetes supports both horizontal autoscaling of pods and cluster autoscaling.
  • Automatic bin packing where Kubernetes automatically places the required resources and restrictions to containers to run containerized tasks without affecting their availability.

Cloud Foundry vs. Kubernetes

Both Cloud Foundry and Kubernetes are Paas platforms for deploying cloud-native applications and services. While they may be adopted for similar functions, they differ from each other in several ways.

Cloud Foundry Kubernetes
Type of service Platform as a service (PaaS) Container orchestration technology
Function Application management service Docker containers cluster management service
Application Best for developing and deploying centralized application development environments that host thousands of applications for unified application management Best for handling containerized workloads requiring greater flexibility across multiple cloud environments
Customization Has the capacity to handle very huge Cloud Foundry-compatible workloads. Highly customizable and can thus handle more heterogeneous workloads
Deployment Uses Garden containers to run applications. The deployment process of applications involves fewer steps because developers do not have to build containers. However, parts of the code pattern are accessed from different URLs. Uses containers to run applications. However, the deployment process is longer, more complex, and requires a Docker Hub account for creating Docker images for the containers. All parts of the code patterns can be accessed from a single base URL.
Updating One command is required to update all containers For each container that needs updating needs to be deleted first and then redeployed
Auto-scale Automatic scaling based on workload Supports autoscaling but developers are more in control over the application.

Choosing between Cloud Foundry or Kubernetes

Containerization is no doubt a revolutionary technology that has made it fast and easy to deploy code and all its dependencies to run across different environments. Containers are a good way to deploy and run applications.

While Kubernetes has more or less the same features as Cloud Foundry, the latter offers a higher-level abstraction for deploying cloud-native applications. Cloud Foundry is used to build, deploy, and scale containers, capabilities that Kubernetes possesses. However, it also connects the containers to the network and routing. This way, the developer can concentrate on building and deploying application code. Finally and most importantly, Cloud Foundry is designed to run thousands of applications for tenants in very large centralized environments through automation and isolation of tenants.

Kubernetes on the other hand offers developers a resilient distributed framework that automatically scales clusters and applications and takes care of failovers. It is a great option for workloads that run across multiple cloud environments and can easily scale from one environment to another. This makes it a good option for developers who require the flexibility of deploying applications on multiple cloud infrastructures.

Rahul Arun

Rahul Arun

Working on AWS Solutions for enterprises and a learner for life. Passionate about Cloud, Big Data, and IoT.
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