

Harness and AWS CodePipeline compete in the CI/CD platforms category. AWS CodePipeline has an advantage due to its integration with AWS services and feature set, while Harness offers cost-effectiveness and excellent customer service.
Features: Harness offers AI-based deployment verification, canary and blue-green deployment strategies, and tools for optimizing resource usage. AWS CodePipeline integrates with AWS services, provides robust automation, and is flexible to incorporate third-party tools. Harness automates processes efficiently, whereas AWS CodePipeline offers a suite of cloud-native tools.
Ease of Deployment and Customer Service: Harness provides a streamlined setup and strong customer support, which aids in quick deployments and issue resolution. Its proactive support model helps avoid technical delays. AWS CodePipeline is well-suited for AWS-integrated environments, although its setup can be more complicated. Support is consistent but may necessitate familiarity with AWS services.
Pricing and ROI: Harness offers a cost-effective entry with an emphasis on ROI through reduced cloud costs and effective scaling. AWS CodePipeline pricing aligns with its deep AWS integrations, which can be economical for current AWS users but could escalate for others. Harness is known for transparent pricing, while AWS CodePipeline provides value through its service integration.
The biggest ROI comes from faster software delivery and improved engineering productivity.
By adopting templates and various different pipelines across our own IDP platform, we have saved upwards of 30 to 40% of development time.
With Harness, the release process decreased from three or four hours to one or two hours, making deployments much quicker.
We have rarely faced issues with Harness tech support.
We have not faced any customer support issues, with tickets resolved in less than a four-day SLA.
I have not required extensive customer support involvement, as the documentation is well-structured.
AWS CodePipeline is good for scalability, and I rate it as nine out of ten.
Our entire organization uses it with hundreds of applications, and it supports this scale effectively.
It is able to work on our infrastructure side, which is EKS, and we are able to handle our organization growth effectively for an enterprise use case.
It handles increasing complexity in deployment pipelines and maintains high release frequency without any issues.
I rate the stability of AWS CodePipeline as a ten out of ten because I have not experienced any issues with it.
Deployment pipelines, rollback systems, and performance reliability have been excellent even during high deployment activity.
Harness is completely stable, and we are using it in production without facing any stability issues at all.
We have rarely faced issues with Harness tech support.
The documentation for AWS CodePipeline is lacking and makes it difficult to find information due to its complexity.
There is not a lot of good support for pipeline as code, and I often find myself not using pipeline as code the way other platforms such as GitHub Actions or Jenkins integrate pipeline as code.
Improved documentation and onboarding tutorials would help accelerate adoption.
One key area for improvement is simplifying the onboarding of new users; the reduction of platform complexity will help new users understand how all components interact, which feels initially very difficult.
I estimated it costs around $5 monthly.
From what I understand with respect to Harness, licensing and setup costs were relatively low for an enterprise, and the pricing was more catered toward enterprises who would invest in the technology.
However, once Harness was fully integrated into our workflow, the operational benefits became clear, justifying the investment for our use case, despite the slightly higher cost for smaller teams.
It allows me to test changes in an isolated environment before deploying them to the entire user base.
Harness uses AI to suggest errors in case of deployment failures.
The platform also supports cloud-native environments and Kubernetes deployments, making pipeline management easier, and its automation capabilities significantly improve speed and reliability.
The unified platform through Harness is extremely valuable because it has reduced our tool sprawl; instead of maintaining separate CI/CD, feature flagging, and verification tools, we can now manage everything effectively.
| Product | Mindshare (%) |
|---|---|
| AWS CodePipeline | 2.9% |
| Harness | 5.0% |
| Other | 92.1% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 4 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 9 |
AWS CodePipeline enhances CI/CD processes through seamless AWS integrations and third-party apps, offering flexibility with parallel pipelines and dynamic agent management. Its robust security framework utilizes IAM roles and KMS for secure operations.
AWS CodePipeline streamlines code deployment and CI/CD practices by orchestrating interactions with AWS services like CodeBuild, CodeDeploy, and CodeCommit. This integration boosts deployment capabilities while ensuring security with tools such as AWS Secrets Manager. The service facilitates development acceleration through efficient Docker image builds and deployment on ECS, EC2, and Kubernetes platforms. Although lacking multi-cloud support and smoother third-party integrations, CodePipeline addresses continuous delivery needs with features like blue-green deployments and Terraform integration. Its pay-per-data approach aims for cost efficiency, though users highlight a need for interface improvements, enhanced documentation, and reduced build times.
What are AWS CodePipeline's key features?In industries like technology and finance, AWS CodePipeline automates application deployments, supporting rapid development and innovation. Companies integrate serverless solutions using AWS Lambda or manage complex microservice architectures through Kubernetes. Its flexibility in automating CI/CD tasks allows enterprises to focus less on infrastructure management and more on product development, driving faster market delivery.
Harness offers a comprehensive toolset for automating deployment processes and enhancing software update efficiency. It's lauded for its CI/CD capabilities, feature flagging, and real-time deployment monitoring. Key features include an intuitive UI, secret management, and robust rollback functionalities, all contributing to improved productivity and reduced errors in DevOps environments.
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