Broken Object Level Authorization is a critical security vulnerability that can have severe consequences for an application. In this article, we will explore what Broken Object Level Authorization is, why it is a problem, and how to mitigate it. We will also provide a simple Python REST API example to demonstrate the impact of this vulnerability.
Processing data in an Enterprise environment frequently involves very large files. In a traditional approach, processing these files can involve issues around memory and time as it involves first downloading the entire file, attempting to load the entire file into memory to work on, and then saving the whole file to output. Instead of taking this old-fashioned approach, we can utilized data streaming and deferred DataWeave processing in order to streamline this process.
Translating MQL for use with the MongoDB connector can be confusing. In this post I'm going to attempt to explain several common use cases and how to implement them with the Mules 4 MongoDB Connector. Hopefully by the end you will also have a better idea about the thought process that goes into making the translation.
Frequently when building integrations, especially batch jobs, we don't necessarily know the configuration for all of the systems we will be connecting to ahead of time; the configurations are typically (and should be) externalized. While it doesn't feel intuitive, we can create a global configuration and use scoped variables to dynamically create new connector configurations at runtime.