Cloud hub with mule

Jan 25, 20170 likes303 views

CloudHub is the platform as a service component of Anypoint Platform that provides a fully-managed, secure cloud platform for integration and APIs. It requires no hardware maintenance and continuous software updates. Developers can build Mule applications in Anypoint Studio and deploy them to CloudHub directly from Studio or by exporting the application to a deployable ZIP file and uploading it through the CloudHub management console. Once deployed, applications run on CloudHub's global infrastructure and developers can monitor logs and test applications through the console.

Before we start, we will actually look into what CloudHub really is.
CloudHub is the platform as a service (PaaS) component of
Anypoint Platform, providing a fully-managed, multi-tenanted,
globally available, secure and highly available cloud platform for
integration and APIs.
The real advantage of CloudHub is it requires no hardware to
maintain and continuous software updates.
It provides Cloud based integration to users.

So CloudHub has it’s management console where we can manage
our applications and configure it, deploy it.
If you have your CloudHub account at
https://anypoint.mulesoft.com/accounts/#/signin you can sign in as
the following way :-

We can build our application in Anypoint Studio and deploy it in
CloudHub by either two ways:

So, let us consider we have a simple Mule application build in our
Anypoint Studio :-

And corresponding Mule flow will be as follow:-

Now after we created our application, we will deploy directly from
Anypoint Studio. Right Click after selecting the project and we will get
deploy to CloudHub under CloudHub menu. From here we can deploy
directly to CloudHub by entering username and password of our
CloudHub account :-

We need to provide necessary details like domain name, environment
etc and then click finish

We can see our application deployed in CloudHub from Anypoint Studio
:-

If we log into our CloudHub account we will see that our application is
successfully deployed from Anypoint Studio and started :-

Second option is we can deploy our application directly from our
CloudHub account. To do that we need Mule deployable zip file of our
application.
So, we can create our deployable zip file from our Anypoint studio by
right clicking the file and selecting export option and then Anypoint studio
project to Mule deployable archeive.

We can see here we have created deployable zip file of our application
on desktop.

Once again we logged into our account and we will find Deploy
application button under application menu in left.

After filling the application name, runtime version etc, we will select our
deployable zip file and will click Deploy Application button to deploy.

We can see our application name in the list. This will display all the
application we deploy

If we click Manage Application button on right and then select logs button at
left we will be getting our server logs.

So, now since we have created our flow , we can test our
application after deploying it into CloudHub server in following way
:-

So we can see it is very very easy to deploy our Mule application
in Cloud server. We can deploy it either from our studio or from our
CloudHub account directly.
So at the end I can only say that, let’s spread our knowledge and
expand our Mule community. 

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The document provides an overview of Mule Expression Language (MEL), including its main uses and syntax. MEL allows accessing and manipulating message properties and context through expressions. Key points include: - MEL expressions can make decisions, select values, replace tokens, and act as scripts using message properties and context. - Syntax is Java-like with property expressions to access message fields. Operators include arithmetic, comparison, logical, and control flow statements. - Context objects model the message, server, Mule instance, and application to access environment properties in expressions. - Variables store expression values globally or across flows. Functions extract data through XPath and regex expressions.

Mule with data weaveSon Nguyen

Using spring scheduler muleSon Nguyen

Using Spring Scheduler Mule allows scheduling tasks in Mule applications using a Java class and Spring task scheduler. This provides an alternative to using Quartz scheduler or Poll components. The document demonstrates creating a Java class that prints a message every 10 seconds, and configuring the Spring task scheduler in Mule to trigger that class repeatedly to continuously monitor an application.

Composite source in bound and out-boundSon Nguyen

The document discusses using a composite source in Mule to accommodate multiple inbound endpoints to trigger a flow. A composite source listens in parallel on different channels for incoming messages, and passes any received message to the first message processor to trigger the flow. This allows a single flow to be triggered by messages from different inbound endpoints like HTTP, file, FTP, etc. The document provides an example where a flow is triggered either by a Quartz scheduled task or by an HTTP request using a composite source with both endpoints.

Batch job processingSon Nguyen

The document discusses batch job processing in Mule. It describes a use case where a batch job queries a database to retrieve approved users and generates a CSV file with the user account attributes. Batch processing in Mule allows splitting messages into records, performing actions on each record, and reporting results. It is useful for integrating or synchronizing data sets, ETL processes, and handling large amounts of incoming data.

Using message enricherSon Nguyen

The document discusses using a message enricher in Mulesoft to enrich messages by adding additional data from external sources. It provides an example of using an enricher to lookup the two-letter state based on the zip code contained in the original message. The enricher calls an external resource, retrieves the state, and adds it to the message as a new variable before sending it to the target system. This allows target systems to receive messages with more information than what the source system originally provided.

Finance connectors with muleSon Nguyen

- Financial institutions need a new way to connect traditional delivery channels with emerging digital business models as they struggle with operational inefficiencies, disparate systems, legacy technology, and security concerns. - Mulesoft provides connectors that allow for syncing of data and automation of processes between applications like QuickBooks, Avalara, FreshBooks, PayPal, and Zuora to help address these issues. - The connectors enable seamless integration and consumption of APIs to help reduce double data entry and automate common business processes.

Google drive connectionSon Nguyen

The document discusses various Google connectors provided by MuleSoft that allow integration between Google services like Prediction, Tasks, Contacts, Calendar, and Spreadsheets with third party applications. It provides descriptions of each connector and explains how they enable access and synchronization of data between the Google services and applications like Salesforce, Outlook, and Excel through APIs.

Using properties in muleSon Nguyen

Mule integrate with microsoftSon Nguyen

MuleSoft provides solutions for integrating Microsoft applications and platforms like .NET, Microsoft SharePoint, Microsoft Dynamics CRM, and MSMQ. This allows organizations to leverage existing Microsoft investments by connecting applications across diverse codebases on-premises and in the cloud on a modern integration platform. MuleSoft's solutions for Microsoft give IT organizations using .NET the ability to connect different applications and services wherever needed.

Jms queueSon Nguyen

This document discusses JMS queues and provides an example of using a JMS queue with ActiveMQ. It describes JMS and the queue model, then provides steps to set up a Mule application that enqueues messages to an ActiveMQ queue using HTTP and receives messages from the queue using JMS. The example shows importing ActiveMQ libraries, creating an ActiveMQ connector, adding messages to the queue from HTTP and receiving them from the queue using JMS.

Anypoint connectorsSon Nguyen

Anypoint Connectors provide integration solutions for connecting applications, data, and devices across cloud and on-premises systems using a variety of pre-built connectors available on Anypoint Exchange. Connectors include those for ActiveMQ, Cassandra DB, generic databases, Amazon S3, Amazon SQS, Oracle Siebel, and more. They allow for CRUD operations and data synchronization between the target systems and MuleSoft's Anypoint Platform.

Mule esb basic introductionSon Nguyen

Mule ESB is an open source enterprise service bus (ESB) that allows for lightweight and flexible integration. It uses a loosely coupled architecture and supports major protocols and technologies. Mule ESB uses a staged event-driven (SEDA) architecture that decomposes services into stages for modularity and code reuse. It processes messages using universal message objects (UMOs) and endpoints, with transports handling specific protocols and connectors sending/receiving messages. Transformation and routing are done through transformers, routers, and an exception strategy handles errors.

Wsdl connector introductionSon Nguyen

Android intergrate with muleSon Nguyen

Mule flow overviewSon Nguyen

Mule flow and filterSon Nguyen

Handle exceptions in muleSon Nguyen

Spring security integrate with muleSon Nguyen

Message processor in muleSon Nguyen

Expression language in muleSon Nguyen

Mule with data weaveSon Nguyen

Using spring scheduler muleSon Nguyen

Composite source in bound and out-boundSon Nguyen

Batch job processingSon Nguyen

Using message enricherSon Nguyen

Finance connectors with muleSon Nguyen

Google drive connectionSon Nguyen

Using properties in muleSon Nguyen

Mule integrate with microsoftSon Nguyen

Jms queueSon Nguyen

Anypoint connectorsSon Nguyen

Mule esb basic introductionSon Nguyen

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