Salesforce and Mule ESB Integration

The Salesforce connector establishes a connection to the Salesforce system using a SOAP web service (provided by Salesforce). Almost every operation that can be done via the Salesforce API can be done through this connector. This connector will also work if your Salesforce objects are customized with additional fields, or even if you are working with custom objects. The connector supports the option to configure Salesforce connection details, connection pooling, and max limit of active connections.

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Configuration: This element must be placed outside of your flows and at the root of your Mule application. You can create as many configurations as you deem necessary as long as each carries its own name. https://goo.gl/j5NcpB #DataIntegration #ML

2017: Cheers to a Year of Integration

ICYMI: As the end of the year approaches, we’re glad to see you’re still hungrily devouring the tutorials and news in our integration zone. We’ve seen what has you interested this year- microservices, Mule, building APIs, and more- so now we’re here to give you more of what you love to keep you learning over the winter holidays. Here’s to you, DZone reader, and another year of learning integration skills!

5 Trending Integration Articles on DZone

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We Need to Talk, Says One Microservice to Another, by Nikhil Wanpal. Just like humans, it’s important for microservices to communicate. This article provides a great overview of the methods they use, and how we solve the problems that come with it. https://goo.gl/rkCLU4 #DataIntegration #ML

Intro to API Caching With Zato 3.0

ICYDK: One of many features that the upcoming Zato 3.0 release will bring is API caching – this post provides an overview of the functionality that is already available if one installs Zato directly from the source code.

What’s New

* In-RAM caches accessible to Python-based services and external clients (including REST and other format or protocols)
* A convenient set of practical cache commands based on real-world needs
* GUI and cache contents search
* HTTP channel caching
* Integration with Memcached

Built-in Caches

In-RAM caches are perfect for rarely changing yet frequently read business data. For instance: https://goo.gl/QVoXes #DataIntegration #ML