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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Cluster Management
  5. AWS CodePipeline vs Apache Mesos

AWS CodePipeline vs Apache Mesos

OverviewComparisonAlternatives

Overview

Apache Mesos
Apache Mesos
Stacks306
Followers418
Votes31
GitHub Stars5.3K
Forks1.7K
AWS CodePipeline
AWS CodePipeline
Stacks554
Followers933
Votes30

AWS CodePipeline vs Apache Mesos: What are the differences?

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; Apache Mesos: Develop and run resource-efficient distributed systems. Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

AWS CodePipeline belongs to "Continuous Deployment" category of the tech stack, while Apache Mesos can be primarily classified under "Cluster Management".

Some of the features offered by AWS CodePipeline are:

  • Workflow Modeling
  • AWS Integrations
  • Pre-Built Plugins

On the other hand, Apache Mesos provides the following key features:

  • Fault-tolerant replicated master using ZooKeeper
  • Scalability to 10,000s of nodes
  • Isolation between tasks with Linux Containers

"Simple to set up" is the primary reason why developers consider AWS CodePipeline over the competitors, whereas "Easy scaling" was stated as the key factor in picking Apache Mesos.

According to the StackShare community, Apache Mesos has a broader approval, being mentioned in 61 company stacks & 19 developers stacks; compared to AWS CodePipeline, which is listed in 29 company stacks and 15 developer stacks.

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Detailed Comparison

Apache Mesos
Apache Mesos
AWS CodePipeline
AWS CodePipeline

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

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

Fault-tolerant replicated master using ZooKeeper;Scalability to 10,000s of nodes;Isolation between tasks with Linux Containers;Multi-resource scheduling (memory and CPU aware);Java, Python and C++ APIs for developing new parallel applications;Web UI for viewing cluster state
Workflow Modeling;AWS Integrations;Pre-Built Plugins;Custom Plugins;Declarative Templates;Access Control
Statistics
GitHub Stars
5.3K
GitHub Stars
-
GitHub Forks
1.7K
GitHub Forks
-
Stacks
306
Stacks
554
Followers
418
Followers
933
Votes
31
Votes
30
Pros & Cons
Pros
  • 21
    Easy scaling
  • 6
    Web UI
  • 2
    Fault-Tolerant
  • 1
    High-Available
  • 1
    Elastic Distributed System
Cons
  • 1
    Depends on Zookeeper
  • 1
    Not for long term
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
Integrations
Apache Aurora
Apache Aurora
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

What are some alternatives to Apache Mesos, AWS CodePipeline?

Buddy

Buddy

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

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.

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.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

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.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

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.

Google Cloud Build

Google Cloud Build

Cloud Build lets you build software quickly across all languages. Get complete control over defining custom workflows for building, testing, and deploying across multiple environments such as VMs, serverless, Kubernetes, or Firebase.

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