Chef PAYG

My main use case for Chef  is configuration management to set up systems, provision software, and keep configurations up to date.

I create Chef  recipes for setup and install needed software from a clean Linux installation to set up server roles, which is a specific example of how I use Chef to manage and provision software while keeping configurations up to date.

The best features Chef offers include configuration management and server-client setup, along with the ability to coordinate with Chef servers to keep servers up to date automatically and remove any configuration drift from the system automatically.

Chef handles configuration drift automatically by having Chef client contact Chef server, retrieve needed recipes and variables set up for a specific server, verify the current server state with the required state and configuration, and automatically make changes if needed.

Chef has created much faster procedures for system setup and rollout of infrastructure in my organization, as well as for scaling and ensuring that all servers are configured identically. It has removed the possibility of human error from configuration. Plus, it ensures that all servers for specific roles have an identical setup, which makes debugging much easier, along with performance optimization and security measures.

I do not have anything in mind at this time for how Chef could be improved.

I have been using Chef for approximately five years.

I chose a rating of seven because Chef is a great tool, but sometimes resource consumption is quite large, and it requires server-side setup, which is not required but should be considered if you are using server-client plus server. Server size actually depends on the number of clients, and you need to consider this during your setup.

My advice to others looking into using Chef is to be ready to learn Ruby at least on a basic level. I have never used AI in Chef. I gave this product a rating of seven.

My main use case for Chef  was around provisioning and configuration management for our application servers.

I can give you a specific example of how I used Chef  for configuration management on our application servers: we provisioned our servers using Terraform , and once the servers were provisioned, there were a bunch of things that we installed on our application servers through Chef, such as NGINX , security packages, and other custom utilities.

The best features Chef offers make the management of large-scale infrastructure easy, and the development around custom resources was also something useful. Most configuration management tools offer the same kind of features, but Chef is better at handling large-scale infrastructure.

Chef has impacted my organization positively because most of our infrastructure configuration management depended on it. If Chef is not working, we are blocked at many fronts, including not being able to provision services or our application servers, making it a critical part of our whole ecosystem.

Chef benefited my organization by definitely reducing time because we were provisioning tens of thousands of servers. Anytime we built the server using Terraform , we never had to worry about the configuration management part since it would run as our pipeline, making it a really significant time-saver for us.

The custom resources helped my team specifically because we had a bunch of custom things that we used to do on our application servers, and that is where we used Chef's custom resources to build on that.

Chef has a very steep learning curve, especially for beginners. I felt that way when I started with Chef because there is too much to learn, and compared to Ansible , which has an easier learning curve, Chef can be confusing.

The learning curve is something that should be focused on for improvement. Chef could be made a little simpler so that someone with basic coding knowledge should be able to pick up Chef and write recipes.

I have noticed that needing to know Ruby for developing custom resources or custom recipes is another area for improvement. Ruby is easy to pick up, but in today's IT scenario, languages like Python and GoLang are more frequently used.

I have used Chef in my previous company for almost four to four and a half years.

Chef is very stable. We have rarely had any outages on our Chef servers.

We are running Chef in the cloud as a single server, and we are not currently looking into its scalability because most of the work is done by the clients on our application servers.

I have never used Chef's customer support because we have mostly fixed our issues through code changes on our end.

At Coupa, we have been very Chef-oriented or Chef-centric from the beginning, so we have not used any other configuration management tool.

I have seen a return on investment with Chef because we definitely need fewer employees to manage infrastructure. In today's scenario, no one is doing configuration management manually anymore.

My advice to others looking into using Chef is that it is a good tool for implementing it across large-scale infrastructure. If you are planning to manage tens of thousands of servers, Chef is one of the better choices.

I am not sure how Chef is going to keep up with the adoption of containers across the industry since many companies are moving to containerized workloads, and I am curious how Chef will be implemented in those scenarios.

I would rate this review a 7 out of 10.

My main use case for Chef  involves doing automation work in my environment. I use Chef  to automate deployments and configuration for building application components across cloud infrastructures, such as automating scheduled jobs or scripts to process billing data or generate invoices. Additionally, I have automated similar workflows using Ansible , Bash, Python, GitHub Actions , and pipelines to ensure secure repeatable pipelines. Chef is a requirement where I currently work, and I am confident that I can quickly adapt my automation skills to use cookbooks and workflows effectively.

My main use case for automation tools such as Chef, Ansible , or scripting is to help with configuration and operational workflows to ensure repeatability, specifically to provision and configure cloud infrastructure and applications using Terraform  or any cloud ARM or CloudFormation . I automate CI/CD pipelines for building, testing, scanning, and deploying microservices to Kubernetes , along with scheduling and automating routine operational tasks. This usage helps reduce manual errors and accelerates deliveries while improving reliability and compliance across multiple environments.

Chef offers valuable features in infrastructure as code, where it uses cookbooks and recipes written in Ruby language for detailed and flexible configuration of systems and applications. Idempotency is one of the major components, as Chef ensures that configurations are applied without any unintended side effects, making deployments more reliable. Chef's scalability allows for managing configuration across thousands of nodes effectively, which is critical for large-scale environments in production. Moreover, Chef integrates with multiple cloud platforms, such as AWS  and Azure , has an ecosystem of community cookbooks, and allows for automated compliance checks with Chef InSpec. Its extensibility, custom resources, and handlers enable tailoring Chef for any organizational needs. Chef's ability to automate complex configuration workflows while maintaining the CI/CD pipeline contributes significantly to DevOps automation.

In day-to-day work, Chef helps me manage configuration consistently across hundreds or thousands of cloud instances without any manual intervention, significantly reducing human error. It aids in quickly provisioning and configuring new environments in multiple clouds such as AWS  or Azure , using Chef cookbooks integrated with Terraform  or CloudFormation  to scale rapidly during peak demand or new project launches. It also automates updates and patches across all nodes simultaneously, reducing compliance and security downtime or tracking efforts. For example, while working on AKS and EKS clusters, Chef's integration with cloud platforms helped automate node configuration and application deployment, which was critical during cluster scaling and updates. The ecosystem of community cookbooks has accelerated this process, and Chef's scalability and cloud integration have enabled me to maintain a high level of availability while reducing operational overhead. This approach helps deliver faster, more reliable infrastructure changes in multi-cloud setups.

Chef has automation capabilities that enhance operational efficiency by minimizing manual tasks. The idempotent nature of Chef ensures consistent application of configurations, and its integration with the CI/CD pipeline facilitates continuous delivery and infrastructure updates in alignment with DevOps and SecOps practices. Additionally, the flexibility to create custom resources and handlers allows it to be tailored to unique organizational needs and complex workflows.

Chef is one of the most powerful tools; however, there are areas where improvements could enhance usability and efficiency. The learning curve is steep due to Chef's Ruby-based DSL and the complex components of cookbooks and recipes, which can be challenging for new users, especially those without programming backgrounds. Simplifying  the syntax or providing more abstractions could aid in adoption and speed up execution. At times, Chef runs can be slower when compared to other configuration management tools, particularly in larger environments, so optimizing performance and reducing runtimes could enhance responsiveness. Additionally, the complexity in debugging failed Chef runs or complex recipes can be difficult due to limited error visibility. Regarding integration with modern tools, while Chef integrates well with many platforms, cloud-native integration with new cloud technologies and container orchestration tools would be advantageous. The quality of community cookbooks could also be a factor that could make Chef more accessible and easier to manage, further strengthening its position in DevOps automation.

Better documentation and tutorials, along with improvements to the GUI and visualization capabilities, would greatly benefit usability. Enhancements to collaboration features that support better teamwork, such as version control, integration, and change tracking, would also be valuable. Moreover, a robust testing framework focused on cloud-native practices would improve the user experience and align Chef more closely with modern DevOps methodologies.

Several additional improvements could enhance Chef, such as better error messaging. More clear and actionable error messages during cookbook runs would significantly reduce troubleshooting time. Additionally, improved documentation with real-world step-by-step examples for common use cases would facilitate quicker onboarding. Simplified cookbook testing through more integrated and user-friendly testing frameworks would ensure quality prior to deployment. Small UI improvements in Chef Automate  would provide easier navigation and visualization of nodes, states, and compliance. Establishing better integration with modern CI/CD tools, while Chef supports many, could streamline workflows with deep native integration with popular pipelines such as GitHub Actions  or Azure DevOps . These combined small improvements along with larger enhancements could make Chef more user-friendly and efficient for teams.

I have been working in my current field for the last eight plus years.

I would rate customer service as a four out of ten.

Positive

My advice for those looking into using Chef is to understand that it is a powerful and mature configuration management tool, but it comes with a steep learning curve, particularly for those new to Ruby or infrastructure as code concepts. Investing time in learning the Chef DSL and the structures of cookbooks is essential. I recommend starting with small, well-defined projects to build confidence before scaling up to more complex environments. It is also beneficial to use infrastructure as code tools such as Terraform in conjunction with Chef and to focus on security best practices by integrating Chef with secrets management tools such as Azure Key Vault  or AWS IAM  rules. Implementing observability and monitoring strategies to track configuration drift is advisable. Leveraging community cookbooks and resources can help accelerate learning, and it is crucial to plan for robust testing and validation. Finally, staying updated on improvements in Chef and related tools will help continuously enhance automation workflows. With this kind of consideration, Chef can become a highly effective tool for scalable and automated infrastructure management.

Chef remains a strong and reliable tool that is flexible. I recommend organizations evaluate their team's skill set and project requirements to determine if Chef aligns well with their automation goals. Continuous improvements in integration with modern CI/CD pipelines and enhanced user experience would further solidify its position in the industry. Chef's flexibility and extensibility through cookbooks and the DSL make it adaptable to a variety of use cases. I would rate this product an overall eight out of ten.

I have used Chef  for more than six years to automate daily tasks and tasks related to building infrastructure and configuring Apache Cassandra  servers.

I generally remember creating the cassandra.yml file and configuring the seed and data directories for Apache Cassandra . Whenever we needed to change the data directory folder or modify anything related to cluster names or replication strategies, we used Chef  because it is a multi-layer cluster of Apache Cassandra.

Additionally, we used Chef for scaling out to provision new Cassandra instances in AWS .

Apart from that, I use Chef to deploy cron jobs for nodetool, snapshot, and incremental backups, and to automate the cleanup of old snapshots and backups.

In my experience, the best features I find in Chef are predictable and scalable environments, and it seamlessly integrates with cloud providers such as AWS  and Azure . There is a way to do test-driven development using Test Kitchen and ChefSpec, and there are also compliance and security checks that we used.

When we use Chef, we comply with profiles such as benchmarking of CIS infrastructure, validating the configurations of industry standards, and using it for continuous integration and continuous deployment pipelines for secure configurations. We also enforce SSL and TLS authentication, firewall rules, and OS-level operations.

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. The customer is satisfied using Chef for automating these services, with most regular day-to-day operations being reduced because of this automation.

At this point, I do not have any thoughts on improvements for Chef. However, I think it would help if we had some kind of GUI-based monitoring system where we can see all the cookbooks and all the runbooks are predefined, and we just have to use them by changing the variables.

I have used Chef for more than six years to automate daily tasks and tasks related to building infrastructure and configuring Apache Cassandra servers.

In my experience, Chef is quite stable most of the time. Whenever we encounter issues with Chef server, we simply restart the service and it works seamlessly.

In terms of scalability, we did not have much requirement to scale. However, whatever we had, Chef running on a single EC2  machine meets our needs.

Customer support is quite good.

Positive

I started with Chef and I am still working with Chef. Now I am exploring cloud-native services related to Chef or configuration management, where we use OpsWorks  instead of Chef. We are moving to OpsWorks  because most of the servers are in AWS and it integrates easily using OpsWorks.

The pricing, setup cost, and licensing are managed by another team. However, within my scope of work, we have Chef servers automatically installed, and I log in to Chef server to run those cookbooks.

I am definitely able to save a lot of time doing the same manual tasks every day, which are operational. In terms of revenue, I have not observed much because it is holistically depending on the project. However, we have seen significant improvement in the time and the way we make changes to the infrastructure, so it is good from the developer perspective, even if it may not be great from a business point of view.

It is because it was traditionally built on Chef and we are improving the way Chef works. I have not had a chance to evaluate other options.

On a scale of one to ten, I would rate customer support an eight.

Chef is a traditional configuration management tool that is very easy to understand and deploy, and I get predefined cookbooks from the internet, which helps me move forward quickly without spending a lot of time developing the cookbooks.

I think Chef is quite good, and the focus should be more on customer support and providing monitoring and observability capabilities, which would be beneficial. I rate this review as a nine overall.