The former Netflix Architect Allen Wang posted back in 2015 on SlideShare: “Netflix is a logging company that occasionally steams video.”
Five years ago, Netflix was creating about 400 billion events per day in different event types. Today, organizations can’t afford for their applications to have slow performance or experience downtime. To prevent that, engineers must rely on the data generated by their applications and infrastructure.
This is the second in a series about JSON logging. If you want to customize the output data structure you can check part 1 of the blog post. In this post, we are going to explore the new capabilities added in version 2 that were implemented based mostly on user feedback.
At some point while developing a Mule application, it’s almost inevitable that you’ll need to manipulate XML.
In this article, I will teach you how to read XML using DataWeave scripts and how to modify its encoding, namespaces, fields, and attributes with the goal to generate a JSON document output.
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!
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.
This is a guest blog from a member of our developer community. Dr. Roger Butenuth is a Senior Java Consultant at codecentric, he has been using Anypoint Platform for five years, with projects ranging from building simple SOAP routing/transformation to introducing the API-led approach to a Fortune 500 company.
Building Mule applications differs from coding in Java. Instead of typing all your code (with a lot of CTRL+space completion),
Logging is arguably one of the most neglected tasks on any given project. It’s not uncommon for teams to consider logging as a second-class citizen and it is usually taken for granted; until, of course, the team goes live and try to troubleshoot anything.
Streaming in Mule 4 is now as easy as drinking beer!
There are incredible improvements in the way that Mule 4 enables you to process, access, transform, and stream data. For streaming specifically, Mule 4 enables multiple parallel data reads without side effects and without the user caching that data in memory first.
Today you’ll meet the newest member of our Training Talks series, Mark Nguyen. Mark joined the training team in November of 2016 as a Curriculum Developer, and will be a familiar face from now on! And yes, we have Mark’s fun fact too…are you ready?
Mark was part of the original team that launched Taco Bell’s Doritos Locos Tacos and, from what I heard, if you mention his name when ordering one, you’ll get an extra taco for free.
