One month into 2019 and we’ve already covered a wide range of content – from JSON logging in Mule 4 to work automation and API strategies. To provide you with the best posts to read if you’ve missed, here are the five most popular blog posts in January 2019.
This is a sequel to my previous blog post about JSON logging for Mule 3. In this blogpost, I’ll touch upon the re-architected version of the JSON logger for our awesome Mule 4 release while leveraging the (just as awesome) SDK!
We’re thrilled to announce the broad release of Mule 4 courses in our award-winning, in-demand, on-demand MuleSoft.U portfolio:
Developers play a crucial role in implementing an API-led approach for integration of applications, data, and devices to drive digital transformation. With the release of Mule 4, our goal is to empower you to cycle through projects with speed and velocity.
By now, you have probably heard a lot about how Mule 4 makes it easier to leverage the power of Mule in your integrations. In fact, many of our customers are already adopting Mule 4––providing great feedback about how they can on-ramp new developers much faster.
In my last article, we saw how we can install Mule 4 on a Raspberry Pi. And while Mule 4 runs perfectly fine on the latest Raspberry Pi’s, you may find yourself in need of a more scalable solution than a bare-metal runtime installation. In this post, we will look at running Mule in a Docker container on Raspberry Pi.
We recently announced the GA release of Mule 4 and Studio 7, a major evolution of the core runtime behind Anypoint Platform. Over the past few months, we’ve discussed DataWeave, streaming, and building flows quickly and easily. Recently, we demoed these capabilities in the Mule 4 webinar, and we wanted to share this demo through this blog post!
What an amazing time it is! We recently announced a major milestone: the GA release of Mule 4!
The new release of Mule is all about ease of use and accelerating the speed of development. With up to 50% fewer steps and concepts to learn, Mule 4 jumpstarts integration projects with better access to data and a completely new reactive, non-blocking (and self-tuning) runtime engine!
An ObjectStore is a Mule component which allows for simple key-value storage. Although it can serve a wide variety of use cases, it’s mainly designed for:
If you are a Mule 3 user, then you’re already familiar with this concept. However, we feel that creating and defining these stores could be made much simpler.
A few days ago, we proudly announced the GA release of Mule 4 and Studio 7, a major evolution of the core runtime behind Anypoint Platform. Mule 4 enhances application development velocity with up to 50% fewer steps and concepts to learn, including a simplified language for connectivity, clear access to data, automatic tuning, and smoother upgrade processes.
