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Overview DataWeave is the powerful transformation language used in MuleSoft to convert data from one format to another. Whether you are working with JSON, XML, or other data types, understanding …
Overview File-based operations are still a key part of many integrations and MuleSoft’s File module makes working with files simple and reliable. This article gives a quick overview of how …
Overview In MuleSoft, flow controls act like the decision-makers of an integration flow. They decide how and where a message should move inside a flow, based on rules, conditions, or …
Overview In real-world MuleSoft projects, applications rarely run in just one environment. We usually have DEV, QA, UAT, and PROD, and each environment has its own values for things like …
Overview Database connection pooling in MuleSoft optimizes how Mule applications handle database connections by reusing existing ones instead of creating new connections for every query. It ensures better performance, resource …
Overview As your MuleSoft applications grow, you’ll quickly notice one big challenge — reusing the same configurations across multiple projects. Each Mule app might need its own HTTP Listener, Database …
Overview Caching in Mule is a mechanism that helps improve performance and efficiency by temporarily storing frequently accessed data so that it can be reused without making repeated calls to …
Overview Object Store in MuleSoft is a built-in storage mechanism that allows applications to store and retrieve data in a key-value format. It is particularly useful for persisting states, caching …
Overview The Database Connector in MuleSoft acts as a powerful bridge between Mule applications and relational databases, enabling developers to perform operations such as querying, inserting, updating, and deleting data …
Overview When building integrations in MuleSoft, things can and will go wrong — APIs might be down, input data might be malformed, or a system might respond too slowly. That’s …