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  1. Stackups
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  3. Container Registry
  4. Container Tools
  5. Docker Compose vs fabric8

Docker Compose vs fabric8

OverviewComparisonAlternatives

Overview

Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
fabric8
fabric8
Stacks37
Followers113
Votes1
GitHub Stars1.8K
Forks498

Docker Compose vs fabric8: What are the differences?

Key Differences between Docker Compose and fabric8

  1. Deployment Complexity: Docker Compose focuses on defining and running multi-container Docker applications, simplifying the deployment process by using a single YAML file. In contrast, fabric8 offers a more comprehensive solution by providing end-to-end development, deployment, and automation capabilities, allowing for more complex and versatile deployments.

  2. Integration with Kubernetes: Fabric8 is designed to seamlessly integrate with Kubernetes, a popular container orchestration platform, offering native support for Kubernetes resources, such as ConfigMaps, Secrets, and Deployments. On the other hand, Docker Compose is not directly integrated with Kubernetes, making it less suitable for deployments on Kubernetes clusters.

  3. Continuous Integration/Continuous Deployment (CI/CD): Fabric8 includes built-in support for CI/CD pipelines, enabling automated build, test, and deployment processes. This feature streamlines the development workflow and promotes DevOps practices. Docker Compose, on the other hand, lacks native CI/CD capabilities, requiring additional tools or configurations for implementing automated pipelines.

  4. Visualization and Monitoring: Fabric8 provides visualization tools for monitoring and managing applications running on Kubernetes clusters, offering insights into resource consumption, health status, and logs. Docker Compose does not include built-in visualization and monitoring features, making it more challenging to monitor and troubleshoot applications in a containerized environment.

  5. Dynamic Scaling and Resilience: Fabric8 supports dynamic scaling and resilience by leveraging Kubernetes' capabilities to automatically scale resources based on demand and recover from failures. This enables applications to adapt to varying workloads and maintain high availability. In contrast, Docker Compose lacks built-in mechanisms for dynamic scaling and resilience, requiring manual intervention for scaling and recovery.

  6. Community and Ecosystem: Docker Compose is widely adopted and supported by a large community, offering a plethora of resources, plugins, and integrations for extending its functionality. Fabric8, while also backed by a community, may have a smaller ecosystem compared to Docker Compose, limiting the availability of third-party tools and add-ons for customization and integration.

In Summary, Docker Compose simplifies multi-container deployments, while fabric8 provides a more comprehensive solution with Kubernetes integration, CI/CD support, visualization, dynamic scaling, and a growing ecosystem.

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Detailed Comparison

Docker Compose
Docker Compose
fabric8
fabric8

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

fabric8 makes it easy to create microservices, build, test and deploy them via Continuous Delivery pipelines then run and manage them with Continuous Improvement and ChatOps.

Statistics
GitHub Stars
36.4K
GitHub Stars
1.8K
GitHub Forks
5.5K
GitHub Forks
498
Stacks
22.3K
Stacks
37
Followers
16.5K
Followers
113
Votes
501
Votes
1
Pros & Cons
Pros
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
Pros
  • 1
    Easy to build and automate integration testing
Integrations
Docker
Docker
Docker
Docker
Kubernetes
Kubernetes
Jenkins
Jenkins

What are some alternatives to Docker Compose, fabric8?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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