

Find out in this report how the two Build Automation solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Before Codefresh, we had to plan the strategy, write the configuration file, and run everything; it used to take two to three days to plan and implement, but now it is a one-time job, so it can be done in ten to fifteen minutes.
In terms of dollars, considering both engineering cost and infrastructure cost, I would say the savings are more than at least $10,000 to $15,000.
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.
They actually understand Kubernetes and container architecture, which makes a huge difference.
One of the team members had a few configurations that we suggested to Codefresh, and they took it and applied those configurations within Codefresh's product.
The customer support for Codefresh is very good and very quick.
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.
Unlike our old Jenkins setup where adding more builds often meant the master node would struggle and we would run out of executors, Codefresh is Kubernetes-native, so it scales horizontally by design.
Codefresh's scalability is 10 out of 10; it is very scalable.
Codefresh handles scalability as my workloads grow by allowing us to implement techniques such as HPA.
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.
Codefresh is generally very quick, and the experience is very pleasant and good.
My environment is very secure and stable, and the accuracy needed during a process of AI capabilities does not disappoint me.
In my experience, Codefresh is stable with not many challenges in hiccups or in clusters, but it is somewhat complex.
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.
I gave it a nine because it has automated Kubernetes deployments, which are not easy to achieve through CI/CD, and it is centralized, integrating GitOps, Argo CD, and Docker-based containerized application deployment, making it a useful tool.
Although the visibility into Kubernetes is excellent, I would love to see out-of-the-box cost optimization metrics.
Some design decisions made us move away from Codefresh to another vendor for pipelines.
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.
Since we are an enterprise-level team, we moved past the basic tier onto a custom contract.
Codefresh is nice because we used to share the licensing, cluster creation, and those accounts around products.
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.
Codefresh eliminates the manual process and provides a centralized platform for continuous integration, continuous delivery, and GitOps-based release management.
The best feature of Codefresh is the GitOps control plane, which provides a single unified view of all Argo CD runtimes and clusters on the dashboard.
The handy user interface and the Kubernetes and Helm integrations help me in my day-to-day work because they enable me to deploy code quickly and move code from different environments into production.
| Product | Mindshare (%) |
|---|---|
| Chef | 2.2% |
| Codefresh | 0.9% |
| Other | 96.9% |

| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 9 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 5 |
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.
Codefresh is a progressive tool tailored for enhancing DevOps teams, enabling swift deployments with its Kubernetes-native architecture while supporting GitOps control to provide a centralized view of Argo CD runtimes and clusters.
Codefresh stands out by integrating real-time application health monitoring, efficient artifact management, and smart deployment strategies. Automation features reduce manual efforts allowing seamless version control integration. While users appreciate its extensibility and quick third-party tool integrations, there is room for improvements in UI performance with large logs and the promotion process between environments. Suggested enhancements include more features for cost optimization and capabilities within GCP. Taking advantage of Kubernetes and YAML proficiency for setup can be challenging, despite comprehensive documentation.
What are the key features of Codefresh?In industries relying on microservices and Kubernetes, Codefresh serves as a control plane integrated with Argo CD, facilitating the management of CI/CD pipelines. It automates Docker image builds and updates, decreasing manual errors and delays. Widely utilized for deploying containerized applications across environments like production and staging, it aids in infrastructure management and enhances the developer platform experience.
We monitor all Build Automation reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.