Mulesoft is a software vendor that provides an integration platform to integrate the data, application as well as the devices over the local as well as the cloud environments. This company has its own platform called the Anypoint platform. This platform contains various tools to develop, manage and test Application Programming Interfaces(API’s). And this vendor is capable of Containerizing the applications on various platform like Kubernetes. Hence today, in this article I Would like to explain the Mule Containerization on the Kubernetes.
Hence Prior to knowing about the mule containerization, let us initially know about
A container is the standard unit of software that packages up the code and all the dependencies together. This packing up of the software helps the applications to run quickly from one environment to the other. And this process of creating the containers is known as Containerization. Today this concept of Containerization is available for both Windows as well as the Linux Application. Today DevOps team prefer to utilize this concept, because, the containers run same on all the platform irrespective of the infrastructure. This is because this container has become the major hosting platform from microservices to the databases.
Moreover, Container was like Docker that can be integrated to form the distributed applications. These containers help the developers to overcome the problems arisen to the previous developers. In the olden days, the developer prefers to compile all their code into one which becomes the challenging task to the developers to manage. But today with the arrival of Containerization tools concepts operation teams today also use these containers. Moreover, these operations can deploy these containers without knowing the inner value
Since we people have a brief knowledge on Containerization, let us recall some points on Kubernetes
This is an open-source container management system. This Kubernetes is responsible to manage containers like Docker. These containers create a consistent and portable way for developers to create microservices. These containers were widely used by the Enterprise developers. Besides, these containers provide an optimal abstraction that allows developers to build the code modules. And we can deploy these Kubernetes containers across many platforms as well as the environments. Today this Kubernetes has become the major way to manage, orchestrated as well as manage the containers.
During the recent time, this Kubernetes has become the major container orchestration platform. And Mulesoft offers Anypoint RTF, Kubernetes based Containers orchestration platform. This is responsible to run API, Application scalability as well as provides the elasticity. Today, like Kubernetes, we do have many Container orchestration tools, but most of the people prefer to opt for Mule Cloud. Here the container nature presents the challenges to manage the Mule runtime, API as well as the deployment of the application. Besides a good nature of container is that every time when a container shutdown, it must be terminated.
Usually, the Containers in Mule contains the following Challenges:
a) Policy Enforcement of API
b)Mule runtime engine deregistration
c)Log retention and aggregation
d)Mule Runtime Engine registration with Anypoint management plane
Once you break your application into small pieces of code, this containerization help developers in many ways as follows:
a) The number of containers requires
b)How do the containers communicate with each other
c) Numer of containers running at a particular instant
d) Additional things needed to become the full microservice
Likewise, there are many things that help developers while using Kubernetes.
There are many ways to the developers to containerize t
he mule application. But I opt the following methods that is suited best for containerizing the mule application. Moreover, it also ensures the Twelve-factor app for containers and leverages all the API management benefits. Consider the following diagram to containerize the application
a) The user verifies the code to the source control system
b)Continuous Integration tools like Jenkins detects the code changes and builds the mule deployable
c)Now the subsequent CI tools also packages several things. This includes Mule app, Mule runtime, JDK, registration script as well the OS to the docker image.
d) Soon after the package creation, Continuous Integration (CI) tools deploy the fully package image onto the Kubernetes (or) Docker Swarm.
e)Now the docker image gets booted, and it executes the registration script. And this acts as the bootstrap entry point in the docker file.
f) Through the series of API Calls, the registration script registers the mule run time engines with any point run time manager
g) Finally once the mule run time engine gets started and registered with ARM, the API automatically gets discovered by Anypoint API Manager via API Autodiscovery.
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This script is responsible for establishing the duplex connectivity. This connects the Anypoint platform and starts the mule engine. During start-up, container executes this command initially and binds to the mule process. Besides, this script invokes the Any Point API to retrieve the access code and perform runtime registration.
As the name indicates this script is responsible for clean after the container shutdown. Usually, the containers were ephemeral in nature. Hence when the container is shut down, the specific instance of the container is terminated. And the new instance comes in its place with the new ID and IP. Usually, this Script is responsible for taking care of deregistration and clean up. And it needs to executed via Kubernetes life cycle hook
a) Open source ports are the necessary ports for quick navigation. Hence the best practice is to utilize 443 for your API and an additional JMX Port. This Mule agent does not need an inbound port.
b) Folders except /root and /logs should be READ-Only. This is important for immutability and the enforcement of external files.
c)Don’t forget to add the license file during the image build
d)Since the container binds to one startup process, place the run time registration and start-up in one call stack.
e)Bundle one app for one container
a) This containerization approach compiles with twelve-factor app principles
b)It is capable of managing Mule API. Hence you can get all the benefits like API Analytics, Policy management, monitoring as well as SLA’s.
c) Through this approach, we can manage Mule run time engine and its entire life cycle.
Likewise, there are many advantages to Mule Containerization. Shortly this Containerization is the powerful and the widely used concept among developers. This helps developers to run the application smoothly in the real-world environment. I hope you people have gotten the brief idea of Mule Containerization benefits on Kubernetes. Besides Containerization, this Mule has several features. Get all those Mule features from live experts with live experts at Mule Training