With Mule’s December 2013 release we introduced the new batch module. We received great feedback about it and we even have some CloudHub users happily using it in production! However, we know that the journey of Batch has just begun and for the Early Access release of Mule 3.5 we added a bunch of improvements. […]
Today I will introduce our performance test of the Batch Module introduced on the Mule’s December 2013 release. I will guide you through the test scenario and explain all the data collected. But first, if you don’t know what batch is, please read the great Batch Blog from our star developer Mariano Gonzalez, and for any other concerns […]
We are all very proud to announce that Mule’s December 2013 release shipped with a major leap forward feature that will massively change and simplify Mule’s user experience for both SaaS and On-Premise users. Yes, we are talking about the new Batch jobs. If you need to handle massive amounts of data, or you’re longing […]
Connecting MuleSoft to Snowflake securely is essential for protecting sensitive data while ensuring smooth integration. One of the most secure methods for authenticating is key-pair authentication, which replaces traditional username-password credentials. What we’ll cover in this article: We’ll go over how to configure key-pair authentication between MuleSoft and Snowflake securely through the DB Connector and […]
Learn how MuleSoft plays a pivotal role in resolving Employee Data Discrepancies at Salesforce using MuleSoft APIs, Data Cloud and Agentforce. A MuleSoft for Agentforce use case.
Learn how to build an AI-powered MuleSoft Scheduler Dashboard to monitor, analyze, and optimize scheduled flows. Get real-time visibility, predictive alerts, and actionable insights with Object Store, REST APIs, and AI integration.
With data at the forefront of every business consideration, organizations constantly integrate massive volumes of data across systems – especially when feeding high-performance warehouses. One of the most powerful tools for handling such integrations is MuleSoft, with its API-led approach and robust ETL (Extract Transform Load) capabilities. That said, optimizing data ingestion for complex, high-volume, […]
Discover expert strategies for optimizing Workday API integrations with MuleSoft, focusing on enhancing performance and scalability. It covers essential techniques such as parallel pagination, efficient filtering, and response time management to ensure fast, reliable integrations, especially with large datasets.
As the business landscape continuously evolves, technology isn’t just a support function; it’s a key driver of innovation and competitive advantage. For many organizations, years of investment in legacy integration middleware – solutions once crucial for connecting systems and enabling operations – now feel like an anchor, hindering productivity and innovation. While these legacy systems […]
In many enterprise integration scenarios, data security and efficient handling of large datasets are non-negotiable. Modern enterprises struggle with transferring massive datasets securely to cloud storage while maintaining optimal performance. Traditional upload methods often fail when handling large data volumes due to network timeouts, memory constraints, and security vulnerabilities. This implementation demonstrates how combining MuleSoft’s […]