por Kubernetes is a platform that fulfills the function of managing workloads and services. It is also characterized by its great functionality and high amount of resources. So that, If you want to have a better experience and make the most of this platform, you need to know the main options of Kubernetes, as is the case of Deployment, a type of system controller that allows declarative management of resources pods and ReplicaSets. This tool is of great importance for the Kubernetes system, so, In this article, you will be able to learn what a Deployment is and what its most relevant characteristics and use cases are.
What is Deployment?
The Deployment tool is defined as a platform controller that has the task of offer declarative updates focused on the ReplicaSets and pods available.
So, when a desired state is established in an object of this option, Deployment is responsible for carrying out, in a controlled manner, the transition between the current state in which the object is located towards the desired state indicated by the user. This implies that the pods that are in charge of this controller must reach this state.
Deployment Features
Among the main characteristic elements of Deployment, it is found that it also can be defined for other tasks, such as creating new ReplicaSets resourcesor eliminate all the Deployments that exist in the system, while adopting all its resources with new Deployment drivers.
It is also recommended not to directly manage the resources of ReplicaSets that are part of a Deployment.
Another feature of this controller is that it has the ability to tell the Kubernetes system How to create or edit instances of the resources of pods that include a containerized application.
This controller is also characterized by having the possibility of scale the amount of the pods replicadepending on the needs of the user’s infrastructure, as well as contributing to the controlled implementation of code updates.
Likewise, it has the ability to go to a previous version of Deployment in cases where it is required. It should be noted that each of these rollbacks updates the revision of the element.
This tool also has the property of automate manual tasks and functions that tend to be repetitive and that they are intervening in their scaling and updating processes of applications in production. This automation of processes can be translated into Deployments that work faster and have fewer errors in their activities.
Additionally, the state of this handler can be used to indicate that a particular display is stuck.
Deployment use cases
Deployment is also characterized by enable a number of different use cases within the platform. All these cases should be covered by using the Deployment object.
In addition to this, if it happens that the client wants to implement a case of use which appears as not supported By the system, there is the option of open a new incident inside the main repository of the Kubernetes platform.
Some of the use cases typically carried out by the Deployment controller are:
Deploying ReplicaSet
One of the use cases for this controller is when the ReplicaSet is in charge of creating the resources of pods that work in the background. In addition to this, the Deployment controller fulfills the function of check the deployment status of the resource with the aim of verifying whether this is the ideal or not.
Cleaning ReplicaSet
Another use case for the Deployment controller is that allows you to clean up older ReplicaSet resources that are no longer needed in the system.
Scaling
Deployment is also characterized by allow horizontal scalingwhich helps the controller increase its capacity to support different workloads.
What is the next step?
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