

Chef and Harness compete in DevOps automation. Harness holds an advantage with its advanced continuous delivery capabilities and automated deployment intelligence.
Features: Chef offers configuration management, automation frameworks, and integration capabilities for infrastructure automation. Harness provides AI-powered deployment strategies, holistic monitoring, and a streamlined application release process.
Ease of Deployment and Customer Service: Chef's mature deployment model and community resources ensure deployment ease and problem-solving. Harness offers an intuitive setup and proactive customer service, appealing to organizations needing time-efficient adoption.
Pricing and ROI: Chef’s lower setup costs with open-source options can provide a favorable ROI from customization and support. Harness, despite higher upfront costs, offers faster ROI with efficient deployments and operational savings.
The return has been far more hours saved than spent.
We have seen significant improvement in the time and the way we make changes to the infrastructure.
I have seen a return on investment with Chef because we definitely need fewer employees to manage infrastructure.
The AI features that they have and with which we can rewrite the pipeline and troubleshoot issues significantly saved time.
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.
Chef codes, which are in Ruby language, are easily available on Chef Supermarket.
We usually work with the Chef teams and community support, who are always willing to assist.
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.
There was an instance when I faced issues with third-party plugins, and after raising a support ticket, they responded in a few hours with a documentation link that resolved my issue.
We leverage both to achieve the best option possible for scaling.
Chef's scalability is evident as the public sector organization I work at serves a population of 5 million, and we have had no problems with scaling.
Server size actually depends on the number of clients, and you need to consider this during your setup.
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.
When I integrated Harness to more than 20 applications in one place, it becomes less stable.
It is a good tool to work with, offering a strong developer experience and community support.
Chef is stable.
In my experience, Chef is quite stable most of the time.
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.
Harness is decently stable.
On support, I think there should be more focus on how we can achieve AI automations in answering questions for beginners and addressing deep concerns without general manual management.
If they can remove the agent installation on the nodes and combine both the Chef server and workstation into one server, that will provide a significant benefit in cost for the clients.
To improve Chef, making an interface with another language such as Python or Java that is well understood, as capable as Ruby, and even more widely adopted would demystify it a bit.
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.
Harness can be improved by providing more clarity on the credits it issues for Harness Cloud, as it has a tiered pricing structure involving license and credit costs, which can get confusing.
The licensing cost is zero for Chef if you are using the free version.
Licensing looks reasonable compared to the manual work of managing whole data centers with even 10,000 servers.
My experience with pricing, setup cost, and licensing is that we sidestepped it by using Cinc because none of the functionality that is exclusive to the paid version was actually in use in the organization.
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.
The licensing cost is a little bit too high.
Security is a key aspect that Chef can automate, monitor new features that are available, and even do patches without you getting involved.
When you have infrastructure as code and you already have everything apart from the environment-specific config, which you can specify in variables, then it is not only more repeatable and reliable, it is faster.
Using Chef for automating infrastructure and applications in my organization has helped us reduce manual tasks by more than forty percent, thereby saving significant revenue for the client.
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.
If something goes wrong, I can use AI troubleshooting to build or test my fails and analyze the logs, suggesting the fixes.
| Product | Mindshare (%) |
|---|---|
| Harness | 4.6% |
| Chef | 2.2% |
| Other | 93.2% |

| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 9 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 10 |
Chef is a powerful automation tool designed for efficient infrastructure management across varied environments. With its environment-as-code model, Chef provides predictability and reliability in deployments, enhancing security compliance and reducing manual intervention.
Chef focuses on automating deployments and configurations, ensuring server consistency, managing scalable environments, and orchestrating service deployments. Its versatile recipe-writing and Ruby-based flexibility cater to large-scale operational needs. Chef’s integration with services like AWS and Azure enhances its versatility, while its idempotent deployments assure reliability. Despite its prowess, Chef requires improvements in feature offerings, especially regarding container orchestration and cloud technologies.
What are Chef's Key Features?Chef is implemented across industries to automate application deployments, manage CI/CD pipelines, provision infrastructure, and maintain compliance. Its recipes and cookbooks streamline workflows in application deployment, system updates, and orchestration of services, reducing errors and manual intervention in a variety of sectors.
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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