In every software development process, there is always a need to test features and products before releasing them. This process can often be manual and requires providing specific users with permissions by ensuring that each user has the right security and governance. This process can become complex quickly, especially if you have a lot of users to manage and many features to flag.
All hail DataWeave!
One of the major changes in Mule 4 is the introduction of DataWeave as our primary expression language. Although this may seem like a radical change, I’ll explain some of the reasons behind our decision, and why this represents a major leap forward. I’ll also share some examples and answer a question that is likely on many readers’ minds: “what about MEL?”
Is it possible to create a conversational bot, fully functional, using Natural Language Processing (NLP), in minutes? Good news, it is.
In this post we will show you how to start from the ground up, giving you everything you need to create your own basic conversational bot, using 100% free accounts and software (yes, all this power for free).
The free accounts and software shown in this post have some limitations and it is designed for you to understand and learn the basics of:
When anyone shows interest in our technology we want to engage with them as soon as possible. We are excited about what we build with at MuleSoft and any opportunity to share that excitement with someone is a big deal.
One day we were hanging out with some fellow Muleys from the Sales Development and Marketing teams and they were talking about how great it would be to receive a notification in Slack whenever a new lead has come in –