Chef Vs Puppet Vs Ansible – Comparison of DevOps Configuration Management Tools
DevOps has evolved rapidly and become a part and parcel of every business function in the digital trend.
Many organizations are increasingly adopting the new collaborative culture in a bid to achieve a competitive edge in modern IT.
“The global DevOps market size reached USD 3.8 billion in 2018 and is projected to attain USD 14.97 billion by 2026 with a CAGR of 19.1% during the forecast period.”
DevOps automates and monitors the process of software creation, ranging from integration, testing, releasing to deploying and managing it.
DevOps has successfully laid down the path to take the IT industry to the next level by facilitating a host of benefits including faster delivery time, 100% customer satisfaction, quick fault detection, CI/CD and high ROI.
“IT departments with a strong DevOps workflow deploy software 200 times more frequently, with 2,555 times faster lead times, recover 24 times faster, and have three times lower change failure rates,” says the 2016 State of DevOps Report.
However, while every IT company is finding out ways and chalking out plans for effective DevOps implementation, many are failing to meet the expectations.
Embracing the right DevOps platform or configuration management tool is one of the major challenges encountered in DevOps implementation.
There are a number of latest DevOps configuration tools such as Chef, Puppet, SaltStack and Ansible with various features available in the market.
So, there is an inevitable need for the comparison of various configuration tools to identify the best tool for the success of DevOps projects.
At this very juncture, we bring you the comparison of the top configuration tools including Chef, Puppet and Ansible.
Chef vs Puppet vs Ansible – What are the differences?
The three configuration tools are simple to use and yet facilitate robust capabilities to automate complex multi-tier IT application environments.
The differences between Ansible, Chef and Puppet are portrayed on the basis of different factors including Availability, Configuration Language, Setup and Installation, Ease of Management, Scalability, Interoperability, Tool Capabilities and Pricing.
1) Availability
The availability of the three configuration tools in the event of main master or server failure is very high. Every tool has the facility of a backup server or an alternative master to render support in case of main server failure.
DevOps Tool | Availability (in case of server failure) |
Chef | Backup Server |
Puppet | Alternative Master |
Ansible | Secondary instance |
2) Configuration Language
Configuration language plays a prominent role in determining the applications of a configuration management tool.
DevOps Tool | Configuration Language | Suitable for | Learning Level |
Chef | Ruby DSL | Developers | Difficult |
Puppet | Ruby, Puppet DSL, Embedded Ruby (ERB), DSL | System Administrators | Difficult |
Ansible | Python, YAML | System Administrators | Simple |
3) Setup and Installation
When it comes to ease of setup and installation, Ansible dominates the other two tools as it has ‘agentless’ architecture. Chef and Puppet follow master-agent or master-slave architecture.
DevOps Tool | Architecture | Ease of Setup and Installation |
Chef | Master-Agent | Difficult and complex due to Chef Workstation |
Puppet | Master-Agent | Difficult due to certificate signing between master and agent |
Ansible | Only Master (Agentless) | Easy |
4) Ease of Management
The management of the DevOps tools depends upon the language and configuration of the tools.
There are two types of configurations including ‘pull’ and ‘push’. Pull configuration involves pulling all configurations from a central server to the slave nodes without any commands. Whereas, in a push configuration, all the configurations in the server will be pushed to the nodes with specific commands.
In terms of configuration language, YAML is considered to be the easiest one as it is similar to English and is human-readable. While Puppet DSL and Ruby DSL languages create setbacks for management.
Once again Ansible portrays its dominance over the others in terms of management as it supports YAML language and follows both push and pull configurations.
DevOps Tool | Configuration | Ease of Management |
Chef | Pull | Difficult |
Puppet | Pull | Difficult |
Ansible | Push and Pull | Easy |
5) Scalability
Scalability of the configuration tools is one of the main factors considered by the enterprises before choosing the tool.
Chef, Puppet and Ansible are capable of managing large infrastructures while handling the burden in scaling configurations. However, there is a slight difference between them in terms of scalability owing to the complexity of their configuration language.
DevOps Tool | Scalability |
Chef | High |
Puppet | High |
Ansible | Very High |
6) Interoperability
In terms of interoperability, all the three tools, Chef, Puppet and Ansible, have similar features. In three cases, all the servers work on Linux or Unix machines while slaves or nodes will work on Windows machines.
DevOps Tool | Interoperability |
Chef | Chef Server should be on Linux/Unix; Workstation and Chef Client support Windows |
Puppet | Puppet Master should be on Linux/Unix; Puppet Agent or Client supports Windows |
Ansible | Ansible Server should be on Linux/Unix; Client machines support Windows |
7) Tool Capabilities
A review of the product capabilities of each configuration management tool can help in choosing the most suitable tool for your requirements. Each tool has its own set of capabilities that are better in its own way.
Product Capabilities | ||
Chef | Puppet | Ansible |
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8) Pricing
Pricing plays a prominent role in decision making for the adoption of configuration management tools or, in general, any product or technology.
DevOps Tool | Pricing | Pricing |
Chef | High | USD 13700/year for up to 100 nodes |
Puppet | Medium | USD 11200-19900/year for up to 100 nodes |
Ansible | Low | USD 10000/year for up to 100 nodes |
In Conclusion
All three tools including Chef, Puppet and Ansible have their own advantages and are better in their own way. Each tool takes a slightly different approach to automation and is suitable for specific user segments in the same target space.
It’s imperative for the organization to consider various technical and business aspects including architecture, features, usability and support to choose the best configuration management tool.
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