In this blog, we explore why we shouldn’t be so quick to forget our Mule ESB (Enterprise Service Bus) roots. Understanding MuleSoft’s past offering, will help us better appreciate its foundational strengths and substantiate why MuleSoft is set to [...]
When we implement Scheduled Jobs in Mule (MuleSoft's Runtime Engine) to process large volumes, it is best practice to use pagination. However if pagination is not applied correctly, we will encounter challenges, which, if not resolved, might lead [...]
Mule runtime is the engine for Anypoint Platform, combining data and application integration across legacy systems, SaaS applications, and APIs. Mule 4 is the latest and most advanced version of Mule runtime engine and has been designed to boost [...]
Over the last few years Microservices architecture has been adopted by some of the biggest companies on the planet including Netflix, Amazon, twitter and eBay. These companies strive for continuous Business Transformation and have said goodbye to [...]
On the 27th of April we hosted the 6th MuleSoft Hyderabad Meetup, titled From Docker to Big Data, it's all about the Mule! First to present was our guest speaker Shashidhar Gurumurthy, Director – Technical Enablement – MuleSoft at Salesforce. [...]
WHISHWORKS, a MuleSoft® strategic partner and Big Data specialist, is pleased to announce that it has been selected by international shoe manufacturer and retailer Clarks, to help optimise supply chain operations and create a truly connected and [...]
Applying a CI/CD approach in developing code for MuleSoft environments brings 2x faster deployment times and better code quality. Let's start by quickly explaining what is CI/CD.
Contrary to point-to-point integrations where one application is directly connected to a data-source, APIs remove the direct dependencies between the consuming application from the data-source, also known as decoupling. For businesses that have a [...]