If you’re a Mule user, there’s a good chance that you’re using Maven to automate building and testing of your applications. We’re happy to announce Mule Maven Plugin 2.0, to help you automate your deployment and integration tests. This plugin will help you no matter where do you want it to run: CloudHub, a local Standalone server, Anypoint Runtime Manager, a local cluster or using the Mule Agent.
We are happy to announce the September ’15 release of the Salesforce Analytics Cloud Connector v2.0.0. In this blog post, I will be covering some of the important features of the connector as well as walking you through the technicalities of ingesting data into Salesforce Wave Analytics Cloud by leveraging features within Anypoint Platform.
In order to connect assets to audiences with speed and scale, you need a powerful data transformation tool. That tool should be able to integrate in real time using APIs, do batch tasks such as data ingestion or synchronization and handle a variety of data sources – from JSON to EDI to XML.
Our solution is called DataWeave. It’s a simple, powerful way to query and transform all types of data.
Have you ever wanted to learn best practices from MuleSoft’s technical experts? Are you an architect, developer, or manager looking to implement your first MuleSoft use case? Want to experience a one-of-a-kind integration workshop AND have tasty cocktails?
In the Getting Started with DataWeave: Part 1, we introduced you to DataWeave and its canonical format, the result of every expression you execute in the language. We now continue to explore our new transformation engine, aiming to give you enough grounding to tackle real-world use-cases.
As we did in Part 1, we will continue to show the results of each expression in the DataWeave canonical format.
Ever wanted to get certified on our Anypoint Platform, but discovered that you didn’t have the training?
We’d like to introduce MuleSoft.U: self-study, public, FREE certification courses that will enable developers to learn core MuleSoft skills. At a significant cost per seat for a public class, instructor-led training is unattainable for most independent developers. With MuleSoft.U, independent developers can get up and running in no time.
Handling endpoints with disparate speed when the platform is in the cloud
A fairly common integration requirement is to accumulate data coming in real-time or near real-time, hold and consolidate the records, then send the transformed messages to another system on a fixed schedule (e.g. daily etc.) for business reasons, especially if the endpoints are legacy systems. For on-premises integration platforms, this use case is rather straightforward to implement.
Anypoint Platform is fast. The legacy systems that it often connects to? Not so much.
Therefore, in real world use cases, the requirements often call for limiting the message throughput to protect the endpoint systems from being overwhelmed by traffic. Architectural designs that support message throttling commonly incorporate some elements of message queues to stage and hold messages in-flight, so that the endpoints can process them at a steadier pace.
Join us for the latest installment in the MuleSoft webinar series as we sit down with Julie Craig, Research Director at Enterprise Management Associates, and Reza Shafii, Director of Product Management, MuleSoft to discuss some of the common pitfalls and questions businesses have when developing their API strategy. Craig and Shafii will talk about the essentials of an API-led approach to design,
MuleSoft provides the most widely used integration platform for connecting any application, data source or API, whether in the cloud or on-premises. With Anypoint Platform®, MuleSoft delivers a complete integration experience built on proven open source technology, eliminating the pain and cost of point-to-point integration. Anypoint Platform includes CloudHub™ iPaaS, Mule ESB™, and a unified solution for API management™, design and publishing.