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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Continuous Deployment
  5. AWS CodePipeline vs Harness.io

AWS CodePipeline vs Harness.io

OverviewComparisonAlternatives

Overview

AWS CodePipeline
AWS CodePipeline
Stacks551
Followers933
Votes30
Harness.io
Harness.io
Stacks58
Followers120
Votes6

AWS CodePipeline vs Harness.io: What are the differences?

Introduction

AWS CodePipeline and Harness.io are two popular DevOps tools used for continuous integration and continuous delivery (CI/CD). While they have similar goals, there are key differences between the two that make them suitable for different use cases. This article aims to highlight these differences and provide a clear understanding of when to choose one over the other.

  1. Integration with Cloud Providers: AWS CodePipeline is tightly integrated with various AWS services, allowing seamless integration with other AWS offerings such as EC2, S3, and Lambda functions. On the other hand, Harness.io is cloud-agnostic and offers integration with multiple cloud providers, including AWS, Azure, and Google Cloud Platform. This gives users the flexibility to choose their preferred cloud infrastructure.

  2. Ease of Use: AWS CodePipeline is particularly well-suited for AWS users, as it seamlessly integrates with existing AWS infrastructure and services. Its simple user interface and extensive documentation make it easy for users to get started quickly. Harness.io, on the other hand, offers a more comprehensive and intuitive interface, providing a user-friendly experience for developers, DevOps teams, and stakeholders alike.

  3. Deployment Strategies: AWS CodePipeline primarily focuses on continuous delivery and offers various deployment strategies such as rolling updates, blue/green deployments, and canary deployments. It enables users to easily manage and monitor their deployments within the AWS ecosystem. Harness.io goes a step further by offering advanced continuous delivery capabilities, including automated canary analysis, safe rollbacks, and machine learning-driven feature flags.

  4. Pipeline Orchestration: AWS CodePipeline offers a visual pipeline builder and can orchestrate various stages of the CI/CD process, including source code management, testing, and deployment. It provides a standardized and scalable approach for managing complex release pipelines. In contrast, Harness.io provides a more flexible and declarative approach to pipeline orchestration. It allows users to define pipelines as code using YAML or JSON, enabling version control and easy collaboration.

  5. Release Management: AWS CodePipeline offers basic release management features such as manual approvals, source code versioning, and tracking changes. However, it lacks advanced release management capabilities like release calendars, deployment windows, and change request management. Harness.io, on the other hand, provides comprehensive release management capabilities, allowing teams to plan, schedule, and track releases effectively.

  6. Ecosystem Integration: AWS CodePipeline seamlessly integrates with other AWS services like AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy, providing a cohesive CI/CD experience within the AWS ecosystem. Harness.io integrates with a wide range of third-party tools, including test automation frameworks, APM tools, collaboration platforms, and ticketing systems, allowing users to build end-to-end automated pipelines across multiple tools and platforms.

In summary, AWS CodePipeline is best suited for AWS-centric environments where tight integration with AWS services is critical. Harness.io, on the other hand, provides a cloud-agnostic approach, advanced continuous delivery capabilities, and a more comprehensive user interface, making it a suitable choice for organizations looking for a flexible and feature-rich CI/CD solution beyond the AWS ecosystem.

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Detailed Comparison

AWS CodePipeline
AWS CodePipeline
Harness.io
Harness.io

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

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.

Workflow Modeling;AWS Integrations;Pre-Built Plugins;Custom Plugins;Declarative Templates;Access Control
ML-based Continuous Verification; Continuous Insights; Continuous Security; Advanced Deployment Strategies; Cloud & Container Cost Visibility; Cloud Cost Event Correlation; Detailed cost analysis without manual tagging
Statistics
Stacks
551
Stacks
58
Followers
933
Followers
120
Votes
30
Votes
6
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
  • 1
    Feature Flags
  • 1
    Test Intelligence
  • 1
    Autostopping rules for Kubernetes clusters
  • 1
    Cloud Cost Management
  • 1
    HIO monitor application health and help resolve issues
Cons
  • 1
    Cost grows quickly
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
New Relic
New Relic
AWS CloudFormation
AWS CloudFormation
Amazon CloudWatch
Amazon CloudWatch
Bugsnag
Bugsnag
Kubernetes
Kubernetes
Docker
Docker
Sumo Logic
Sumo Logic
Splunk
Splunk
Jenkins
Jenkins
Datadog
Datadog

What are some alternatives to AWS CodePipeline, Harness.io?

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.

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.

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.

Kraken Deploy

Kraken Deploy

Modern deployment platform with event-driven architecture, real-time monitoring, and enterprise security. The cloud-native alternative to Octopus Deploy.

Atmosly

Atmosly

AI-powered Kubernetes platform for developers & DevOps. Deploy applications without complexity, with intelligent automation and one-click environments.

DeployHQ

DeployHQ

A service packed with features to help you automate and manage the continuous deployment of your websites.

Gaia

Gaia

Gaia is an open source automation platform which makes it easy and fun to build powerful pipelines in any programming language. Based on HashiCorp's go-plugin and gRPC, gaia is efficient, fast, lightweight, and developer friendly.

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