Before DevOps overlapped the IT industry people use to get their work done using the simplest of the interface developed, regulated and or interpreted by the professionals. Automation then began the primary concern of the professionals and they were ready to stick by it by any means necessary. But there were various shortcomings attached with such systems and people got fed up with this mindset, thus began the cycle of configuration managers. We will be dissecting the most used configuration managers used in the DevOps environment, such as Puppet and or Chef.
Role and the benefits of configuration managers
The configuration managers do interfere within the IT environment within the raw configuration of the machine and or server/computer systems and the goal of the users instead of the tedious task, which is necessary to achieve it. All the operations within the IT environment are well managed and regulated properly at regular intervals so that the knowledge within various working sections of the systems can be saved properly. Although you do require the standard knowledge of various tools and the IT-based systems. These configurations, in turn, don't write or interpret the systems with any particular type of data to some of the configuration files.
What is done by these systems is that they collect various facts and or related data to the nodes and only act when there actually is a change needed for the IT based environment. Using this same methodology a person can experiment with Java installation without interfering with its core settings, this depicts the level of sophistication used by these configuration managers.
Requirements and Installation
Puppet and chef are the first configuration managers that use the Ruby domain specific language for their proper setup and initiation, however you don’t need to be an expert in the field to use both of these systems. To get the best possible results and collaboration possibilities you should learn how to use the vision control. It is very much easy to install the both systems in separate environments and separately, although you consistently need to follow the instructions to get the job done.
When the installation of the chef is required you will need to follow the installation of these systems via a shell script, this process is not secure at all but this is the only way to install the chef configuration. Where the installation of the puppet is concerned you need to follow the instructions manually using supported IT based systems, otherwise you would fail at installation of the puppet configurations. A working DNS setup is required for the successful completion of the puppet systems, if you don’t have these systems present beforehand then you can always start with its online emulator.
Working methodology
Although both of these systems have similar goals but the way these can be used or interpreted within various working environments is totally different. The major differences within these configurations can be illustrated as follows;
- Puppet uses a declarative language which is very much similar to the JSON or the XML, you can provide dedicated values for these systems but can’t control the way these states can be achieved.
- Chef on the other hand uses an imperative language, this means that you do require the integration of the Ruby systems because without it you can’t progress further within the installation of these systems.
Apart from such differences there are some literary differences between the puppet and the chef, puppet is like writing configuration files to your needs and chef is like programming the control for your various IT based systems or networking nodes. Puppet is often required by the professionals that have some experience with the system administration but for some people chef is a priority because of the fact that these people are developers. Servers and agents are required to be installed and interpreted when we take into account the installation of the puppet configurations other than the chef systems.
Change validation
Using both of the systems you will have to make a guess that which configuration system can adapt to the relative change on a more extensive array. Puppet do recognize this need and provides a ‘no-op’ mode or simulation mode that will determine the best guess such as what might occur based on the current state of the testing systems. No-op systems would provide the users with a blank state during which various testing mechanisms can be tested, adapted and regulated to test that which one would bring about the best results or complement the desired actions, but the original output that will happen can’t be predicted.
Automated integrations tests are can be perfumed using the built-in tooling platforms that determine whether a change will prove to be destructive or a constructive change by applying the change to the real environment based systems. Therefore, the organizations that are willing to work with chef would get various proposed benefits out of it such as providing them with tested knowledge whether a particular change or automated process would work or not.
Continuous delivery
Continuous delivery and continuous integration are two of the end goals of the DevOps methodology, this is in fact is the ability to introduce changes faster, safer and in a more integrated way. Like chef the puppet can also be managed with the help of the CI/CD tools like the Jenkins and other security updates to the IT based systems as well. Chef systems believe in the continuous delivery and integration of the systems at a faster rate and pertaining to the requirements of the customers and or the IT based market.
There is a specific work flow that is being developed by the chef configuration systems to develop a working principle through which the concept of the continuous delivery and continuous integration can be achieved. Puppet DevOps certification is required for the professionals who want to pursue a career in the installation and the management of these systems while chef DevOps training is required to learn the fundamentals for the chef oriented systems for constant scalability.
