Introducing the Anypoint Platform Nov ’17 Release

November 20 2017

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We are excited to announce the GA of the Anypoint Platform November release. By building on the value of the Crowd release, this update provides organizations with the best experience yet for managing the full API lifecycle through reuse.

Dev Guide: Build a Mule Integration with a Slack Slash Command (Part 3)

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Picking up from the second part of this series, this blog post will wrap up building an end-to-end API solution. For the first post, you abstracted source systems with APIs to add flexibility, ease of consumption, and increase adoption and integration possibilities.

HowTo – A Quick Introduction To Using Anypoint MQ APIs

anypoint mq

With as many systems of record available in the cloud– from  SaaS applications like Salesforce to Netsuite – the need for a cloud-based enterprise messaging solution has now become necessary to support high availability, scalability, and reliability patterns in an Integration Platform as a Service (iPaaS) solution, such as MuleSoft’s CloudHub.

HowTo – Handle HL7 Messages with Anypoint Platform

hl7 mulesoft connector

At MuleSoft, we work with a number of hospitals, healthcare systems, insurers, and other healthcare organizations. These organizations use different computer systems–from billing and Electronic Health Records (EHRs) to laboratory and pharmaceutical management systems. A common and critical use case that we come across is how we can enable these organizations and their partners to seamlessly exchange data with one another across different systems. 
 

How to Use Platform Events with MuleSoft’s Salesforce Connector

November 2 2017

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Salesforce introduced Platform Events with its Summer ‘17 release (API v40). While the Anypoint Connector for Salesforce has supported Streaming API Events, the following description from Salesforce might be helpful to understand the difference between Platform Events and Streaming API Events.

How to Apply DataWeave to the Real-world: Looping (Part 3)

October 31 2017

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So far in this 3-part series, we have looked at variables (Part 1) and functions (Part 2) in order to leverage them to our advantage. In this third and final part of the real-world DataWeave series, we will look at another common problem area, that of performing nested loops in data structures.

How to Apply DataWeave to the Real-world: Functions (Part 2)

October 25 2017

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In the first part of this series we tackled the issue of defining and also using variables within DataWeave as opposed to using the legacy set “Variable” module. Today, I need to raise the topic of functions in DataWeave as a key thought when working with MuleSoft has to be “can I reuse this?”

Dev Guide: How to Design a Process API (Part 2)

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Before we get started with this blog, if you haven’t checked out Part 1 of this Dev Guide series, make sure you work through that first, where we went through developing a resilient, governable, and flexible API layer on top of your source systems—what we call system APIs.

Improvements to the Batch Module in Mule 4

batch module mule 4

The Mule 4 Release Candidate is here and, with it, the updated version of the batch module!

The batch module was first introduced in Mule 3.5 and it aims to simplify integration use cases where basic ETL functionality is needed. If you’re unfamiliar with it, I recommend you look at this post before continuing. If you are already old friends with batch, then keep reading for a breakdown of all the changes!

How to Apply DataWeave to the Real-world: Variables (Part 1)

October 16 2017

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Over the last few years at MuleSoft, I have had the opportunity to work with many different customers covering a wide range of use cases, inevitably requiring data transformations of one sort or another. I have observed some recurring patterns and “gotchas” when DataWeave is used in the real-world and I will address these in this 3-part series.