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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Continuous Deployment
  5. AWS CodePipeline vs Azure Container Service

AWS CodePipeline vs Azure Container Service

OverviewComparisonAlternatives

Overview

AWS CodePipeline
AWS CodePipeline
Stacks551
Followers933
Votes30
Azure Container Service
Azure Container Service
Stacks97
Followers214
Votes11

AWS CodePipeline vs Azure Container Service: What are the differences?

What is AWS CodePipeline? Continuous delivery service for fast and reliable application updates. CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

What is Azure Container Service? Deploy and manage containers using the tools you choose. Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

AWS CodePipeline belongs to "Continuous Deployment" category of the tech stack, while Azure Container Service can be primarily classified under "Containers as a Service".

Some of the features offered by AWS CodePipeline are:

  • Workflow Modeling
  • AWS Integrations
  • Pre-Built Plugins

On the other hand, Azure Container Service provides the following key features:

  • Create a container hosting solution optimized for Azure
  • Scale and orchestrate applications using Apache Mesos or Docker Swarm
  • Use popular open source, client-side tooling

"Simple to set up" is the top reason why over 3 developers like AWS CodePipeline, while over 3 developers mention "Easy to setup, very agnostic" as the leading cause for choosing Azure Container Service.

Volta Industries, ChromaDex, and PouchNATION are some of the popular companies that use AWS CodePipeline, whereas Azure Container Service is used by QwikSense, Veris, and Sensewaves. AWS CodePipeline has a broader approval, being mentioned in 29 company stacks & 15 developers stacks; compared to Azure Container Service, which is listed in 8 company stacks and 7 developer stacks.

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Detailed Comparison

AWS CodePipeline
AWS CodePipeline
Azure Container Service
Azure Container Service

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.

Workflow Modeling;AWS Integrations;Pre-Built Plugins;Custom Plugins;Declarative Templates;Access Control
Create a container hosting solution optimized for Azure;Scale and orchestrate applications using Apache Mesos or Docker Swarm;Use popular open source, client-side tooling;Migrate container workloads to and from Azure without code changes
Statistics
Stacks
551
Stacks
97
Followers
933
Followers
214
Votes
30
Votes
11
Pros & Cons
Pros
  • 13
    Simple to set up
  • 8
    Managed service
  • 4
    GitHub integration
  • 3
    Parallel Execution
  • 2
    Automatic deployment
Cons
  • 2
    No project boards
  • 1
    No integration with "Power" 365 tools
Pros
  • 6
    Easy to setup, very agnostic
  • 3
    It supports Kubernetes, Mesos DC/OS and Docker Swarm
  • 2
    It has a nice command line interface (CLI) tool
Integrations
Runscope
Runscope
Amazon S3
Amazon S3
GitHub
GitHub
Jenkins
Jenkins
CloudBees
CloudBees
BlazeMeter
BlazeMeter
Ghost Inspector
Ghost Inspector
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Amazon EC2
Amazon EC2
Docker Swarm
Docker Swarm
Docker
Docker
Apache Mesos
Apache Mesos

What are some alternatives to AWS CodePipeline, Azure Container Service?

Buddy

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

Amazon EC2 Container Service

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Google Kubernetes Engine

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

DeployBot

DeployBot

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

Containerum

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.

Deployer

Deployer

A deployment tool written in PHP with support for popular frameworks out of the box

Spinnaker

Spinnaker

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

Docker Cloud

Docker Cloud

Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.

Harness.io

Harness.io

It automates the entire CI/CD process, uses machine learning to protect you when deployments fail, equips you with enterprise-grade security, & simplifies cloud cost visibility, savings, & forecasting without any tagging requirements.

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