Author: MuleSoft Integration Team

Sometimes the requirement is to manage the flow state at runtime, say the service being called is down, and stop the flow to avoid the unnecessary processing. This can be achieved in Mule via two methods mainly: Using Groovy Script Using Anypoint Runtime Manager (ARM) Service (Only for On-Prem or Hybrid APIs) Using Groovy Script… Continue reading Start and Stop Flow At Runtime

Logging is a powerful aid for understanding and debugging programs run-time behaviour. Logs capture and persist essential data and make it available for analysis at any point in time. When apps are deployed on CloudHub, logging is taken care of by Mulesoft itself. Application logs are kept for 30 days or up to 100 MB… Continue reading Push CloudHub logs to Amazon S3

What is Batch Processing? Batch Processing is the concept of processing a large number of records into batches. Batch processing can be executed without end-user interaction. Why do we need Batch Processing? If a document contains 1000 plus lines and a person wants to read all that File rather than going through the individual record… Continue reading Batch Processing of large data in Mule 4

BigQuery connecter is an asset to LoB workers as it helps in combining datasets and make well-informed decisions. The capabilities of BigQuery connecter can help in deriving more reliable data insights for Line of Business workers. Google Cloud’s strengths are leveraged with the help of BigQuery connecter in MuleSoft Anypoint exchange Pre-Requisites: BigQuery’s Service account… Continue reading MuleSoft – GCP BigQuery