Month: June 2019

  • File REST API in RAML

    File REST API in RAML

    RAML, also known as RESTful API Modeling Language makes it easy to define APIs that are human friendly. A customer asked me how to model an HTTP multipart request using RAML so I put together this example. Just some background, an HTTP multipart request is an HTTP request that HTTP clients construct to send files…

  • Using MuleSoft With Amazon MQ

    Using MuleSoft With Amazon MQ

    Amazon MQ is a managed message broker service for Apache ActiveMQ, and as a result, connectivity with Amazon MQ and MuleSoft has been there since day one. Amazon MQ makes it easy to set up and operate message brokers in the cloud and it gives direct access to the ActiveMQ console and industry standard APIs and…

  • Connect to Google BigQuery Using the MuleSoft Database Connector

    Connect to Google BigQuery Using the MuleSoft Database Connector

    BigQuery is a RESTful web service that enables interactive analysis of massively large datasets working in conjunction with Google Storage. If you’re building new integrations to drive data in and out of BigQuery, the general recommendation is to leverage the native API. But an additional approach is using standard SQL dialect, which BigQuery supports. To aid…