

Chef and Tekton are prominent solutions in automation and CI/CD pipelines. Chef appears advantageous in configuration management owing to its mature ecosystem, while Tekton's robust capabilities in integrating cloud-native features make it a strong contender for CI/CD pipelines.
Features: Chef's extensive library of cookbooks facilitates infrastructure automation through a comprehensive ecosystem. Its ease of use in writing recipes and versatility allows for managing a large number of servers efficiently. Tekton offers seamless integration with Kubernetes, supporting cloud-native CI/CD pipelines with flexibility and scalability. Its customizable pipelines and automatic scalability benefit developers in managing diverse tasks efficiently.
Room for Improvement: Chef could enhance its deployment processes to better align with market leaders and improve its rollback capabilities. Documentation and expanded integrations with third-party tools may also benefit users. Tekton could improve its log management and technical support access. Enhancements in usability for beginners and clearer guidance documentation could make it more approachable.
Ease of Deployment and Customer Service: Chef provides user-friendly deployment tools across various environments with structured support channels and a vast community. In contrast, Tekton's deployment model is highly flexible, offering support from community sources and integrating seamlessly with Kubernetes, appealing to cloud-based teams seeking adaptability.
Pricing and ROI: Chef's pricing includes a higher initial setup cost due to licensing, but it promises a good return on investment through efficient infrastructure management. Tekton's open-source model ensures cost efficiency, making it a viable option for organizations focusing on CI/CD processes with a strong emphasis on cost-effective continuous integration and delivery.
The return has been far more hours saved than spent.
Chef has provided a return on investment, particularly in needing fewer employees, as the tool significantly reduces the amount of human work required for many tasks.
We have seen significant improvement in the time and the way we make changes to the infrastructure.
We usually work with the Chef teams and community support, who are always willing to assist.
We leverage both to achieve the best option possible for scaling.
Chef's scalability handles a large number of nodes easily, allowing us to manage hundreds of servers consistently using the same set of cookbooks.
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.
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.
Stability-wise, it is very stable, and we can seamlessly integrate.
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.
Self-healing infrastructure continuously verifies that the system matches the desired state and can auto-correct configuration changes during the next run.
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.
Scalability means based on the load, it will automatically gain resources and run.
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.
Security is a key aspect that Chef can automate, monitor new features that are available, and even do patches without you getting involved.
Chef can manage hundreds or thousands of servers effortlessly, allowing for easy rollout of a single cookbook change to all machines.
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.
Tekton is highly customizable. With Kubernetes, we can customize on our own and create custom builders.
| Product | Market Share (%) |
|---|---|
| Tekton | 7.9% |
| Chef | 1.5% |
| Other | 90.6% |

| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 7 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 4 |
| Large Enterprise | 22 |
Chef, is the leader in DevOps, driving collaboration through code to automate infrastructure, security, compliance and applications. Chef provides a single path to production making it faster and safer to add value to applications and meet the demands of the customer. Deployed broadly in production by the Global 5000 and used by more than half of the Fortune 500, Chef develops 100 percent of its software as open source under the Apache 2.0 license with no restrictions on its use. Chef Enterprise Automation Stack™, a commercial distribution, is developed solely from that open source code and unifies security, compliance, infrastructure and application automation with observability. Chef provides an unequaled developer experience for the Coded Enterprise by enabling users to express infrastructure, security policies and the application lifecycle as code, modernizing development, packaging and delivery of any application to any platform. For more information, visit http://chef.io and follow @chef.
Tekton is a powerful yet flexible Kubernetes-native open-source framework for creating continuous integration and delivery (CI/CD) systems. It lets you build, test, and deploy across multiple cloud providers or on-premises systems by abstracting away the underlying implementation details.
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.