Alexandra Martinez is a member of our Developer Community and has been leading our Meetup Group in Toronto for a few years now. She brings her local community together on a regular cadence, each time with more and more attendees. For more information on how to join the MuleSoft Community, visit our Community page.
Before this app, our HR department at Bits In Glass (BIG) was manually posting messages to different Slack channels in our workspace.
This blog is the third part in a four-part series on how to use a Slack bot to extract LaunchDarkly data. If you haven’t already, check out part one and part two of the series before pursuing the steps in this demo.
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.
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.
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 –
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.