Download Mulesoft Runtime

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Addressany connectivity use case with a runtime that intelligently manages message routing, data mapping, orchestration, reliability, and security between systems and applications. Connect to common systems and databases with Anypoint Connectors, or use the Mule SDK to create customizable modules for integrating homegrown systems.

Get automatic streaming to handle content caching, larger than memory payloads, and closing of user streams. Stream and access data concurrently in order to process and transform information at scale.

Effortlessly manage your application deployments across hybrid and multi-cloud environments with MuleSoft's centralized control plane. Streamline your entire application lifecycle management process using a single interface for all deployments, whether in the cloud or in a data center.

Extend your runtime plane on your own infrastructure using kubernetes tools. Scale horizontally, increase reliability, enable data residency through isolation between applications, and redeploy applications with zero downtime.

Mule runtime engine (Mule) is a lightweight integration engine that runs Muleapplications and supports domains and policies. Mule applications, domains,and policies share an XML DSL (domain-specific language).

Mule applications connect systems, services, APIs, and devices using API-ledconnectivity instead of point-to-point integrations. Mule applications providefunctionality for message routing, data mapping, orchestration, reliability,security, and scalability.

Domains enable you to share global configurations that Mule applications need toreuse, such as default error handlers, shared properties, scheduler pools, andcomponent configurations. You can only deploy domains when running Mule runtime engine on premises.

Mule includes an embedded API Gateway, which enables you to applysecurity policies to an API, enrich incoming or outgoing messages, and addcapabilities to an API without having to write any code.

See API Gateway Capabilitiesfor additional information.

Maven is a project management utility that Mule implements to enhance projectdevelopment. Mule provides built-in Maven functionality. For the Mule runtime engine,you can integrate the packaging, testing, and deployment of your Mule applications,domains, and custom policies with your Maven lifecycle using the Mule Maven plugin.

CloudHub 2.0 provides for deployments across 12 regions globally, either single or shared tenancy, and dynamically scales infrastructure and built-in services up or down to support elastic transaction volumes.See CloudHub 2.0 for more information.

Runtime Fabric is a container service that enables you to run Mule applications and API gateways within a data center or third-party cloud environment that you control and manage. You can install Runtime Fabric on a set of physical servers, virtual machines, or within Amazon Web Services and Microsoft Azure.

Runtime Fabric comes bundled with technology such as Docker and Kubernetes, which offer benefits such as high availability, failover, clustering, and load balancing. See Anypoint Runtime Fabric Overview for more information.

The standalone option enables you to host Mule runtime engine server and related services in an environment that you manage. Using standalone runtimes, the Mule runtime server can run on a physical server, a virtual machine, or within a third-party cloud installation like Amazon Web Services or Microsoft Azure.

This guide offers information about how to use Mule Runtime, commonly called Mule, or Mule ESB to integrate systems, orchestrate web services and configure the runtime environment. The visual representations of Mule applications you see throughout the documentation are usually depicted as seen in the Anypoint Studio IDE.

Mule is the lightweight integration runtime engine that allows you to connect anything, anywhere. Rather than creating multiple point-to-point integrations between systems, services, APIs, and devices, you use Mule to create applications that intelligently manage message routing, data mapping, orchestration, reliability, security, and scalability between nodes. Plug other systems and applications into Mule and let it handle communication between systems, allowing you to track and monitor your application ecosystem and external resources.

Integration developers write Mule applications to tie together various systems. Mule applications are configured to run on Mule runtime to process inbound information, and ingest this information in a pre-defined manner. An expected request to a running Mule application naturally triggers Mule to encode the event and data in a Mule message, passing it along a single thread or multiple threads. Mule transforms and routes the Mule message in stages, according to the processors configured to interact with the message at the various stages. Mule gets the message to its destination, passing the requisite data to the recipient.

The Mule application is defined in an XML document that specifies the necessary dependencies for the Mule application to run. You can configure your Mule application to process data in a variety of ways, and can adjust the Mule runtime instance accordingly. Mule is packaged with components, connectors, and transformers that work quickly to get the data and metadata you need from your Mule application, and feed it to any destination.

MuleSoft releases enhance the quality, capabilities, and security of Muleruntime engine (Mule). To take advantage of these improvements, it is importantto adopt a strategy for upgrading your Mule version and to regularly updatepatches of your Mule deployments with the latest bug fixes and securityenhancements.

With Runtime Manager, you can deploy, manage, and monitor your Mule applications in a sandbox, staging,or production environment from one central location, whether your apps are deployed in the cloud or on-premises.

CloudHub is a complete integration platform as a service (iPaaS) that automatically meets all of your server needs without requiring any configuration or customization, including object store infrastructure, monitoring, troubleshooting, and scheduling.

If you are using MuleSoft Government Cloud, you can deploy Mule runtime engine to a private cloud or on-premises environment and manage your app deployments using your MuleSoft Government Cloud control plane. Refer to Standalone Mule Support for MuleSoft Government Cloud requirements.

To get started as simply and quickly as possible, this tutorial includes steps to create Red Hat OpenShift cluster, nodes and a Runtime Fabric instance with default settings. Before creating a cluster, nodes and a Runtime Fabric instance for production use, we recommend that you familiarize yourself with all settings and deploy settings that meet your requirements. For more information, see the Red Hat OpenShift documentation. For detailed Runtime Fabric documentation see Anypoint Runtime Fabric Overview.

1 - An OpenShift cluster can be set up on bare metal, virtual machines, or a cloud provider (GCP, Azure, AWS). Check out this page to obtain a trial license for Red Hat OpenShift.To learn about how to set up Red Hat OpenShift check out the documentation here. Ensure that you have cluster-admin privileges on the OpenShift cluster.

2 - The OpenShift web console provides a graphical user interface to manage the projects on the OpenShift cluster. Once the OpenShift cluster is installed and ready, log in to the OpenShift web console using the admin credentials, set up during the cluster installation.

3 - The Openshift command line interface allows the creation and management of projects on the cluster using a terminal. To login to the OpenShift command line, click on the Copy login command under the user profile drop-down menu, click on Display Token and paste it to a terminal.

1 - The first step is to create a namespace, which provides a mechanism to scope resources in a cluster. The Openshift command line interface allows the creation and management of projects on the cluster using a terminal. Create a namespace by copying the OpenShift command specified on the Runtime Fabric page on Anypoint Platform.

3 - Now, the Runtime Fabric operator can be installed on the cluster. Red Hat OpenShift Operators automates the creation, configuration, and management of Kubernetes-native applications. Operators can be managed using the Openshift web console, which provides an alternate mechanism to create and manage projects on the cluster.

With the certified Anypoint Runtime Fabric operator you can easily deploy and manage containerized MuleSoft applications. To install the Runtime Fabric Operator, open up the Operator Hub from the left side navigation pane and search.

4 - Once the operator is installed, it can be configured with the activation data to register it to the Anypoint platform. Copy the activation data from the Runtime Fabric page on the Anypoint platform. Note that a Mule license is required to deploy applications to the Runtime Fabric.Check out this link to learn more about how you can create a base64 encoded string from the license file.

2 - Enter a unique name customer-api as the Application Name, select the runtime-fabric-openshift as our Deployment Target then click Import File from Exchange to select Upload File. We will upload a customer api Mule application jar.

I am currently creating ci/cd for RTF deployments. Now I managed to make it for Mule runtim 4.x only for runtime 3.9.1 things are a little different. For example, another mule maven version is used, namely; 2.3.2 this does not work via connectedAPP but only with the old method username and password. However, during deployment I get the connection time out error.

Mule 3 and Mule 4 are not compatible. They require different versions of the Mule Maven Plugin. You are not even using the last available version of the Mule Maven Plugin 2.x (at this time) that contains some fixes for Runtime Fabric deployments. Note that you would need to rename memoryReserved for the newer version. It is strongly recommended to use the latest available release of the version compatible with your deployment target.

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