JSON Logger in MuleSoft
JSON logger as the name suggests, prints the logs in json format, which can help a lot when we are logging to any external log analytic tool such as ELK or Splunk.
Setup Okta as Identity provider on MuleSoft Anypoint Platform
MuleSoft Anypoint Platform can be configured for Single Sign-On (SSO) using Okta, OpenAM or PingFederate. SSO is useful to authenticate and access multiple applications/websites by logging in only once. Identity Management can be configured using one of the below SSO...
One-way and Two-way TLS and their implementation in MuleSoft
Introduction: Transport Layer Security, or TLS, is a widely adopted security protocol designed to facilitate privacy and data security for communications over the Internet. A primary use case of TLS is encrypting the communication between web applications and servers....
Date formatting in DataWeave
We often encounter scenarios to convert dates from one format to another, and I find the date formatting a massive task in itself. Date conversion becomes essential in a state of affairs where there is a need to sync two databases/systems. It’s not an easy task...
Error Handling in Mule 4
What is Error Handling and why do we need it? Error Handling is the mechanism wherein the errors are controlled, and some flow is executed when Error occurs in the Mule Flow. If there is no error handling written at any of the levels, the Mule Default Error Handler is...
Basic Authentication in Mule 4
Basic Authentication is an authentication system built into the HTTP protocol. The request is sent with an Authorization header whose value is a Base64 encoded string of username and password combination. It is a primary authentication mechanism. If the Authentication...
Start and Stop Flow At Runtime
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)...
Push CloudHub logs to Amazon S3
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....
Batch Processing of large data in Mule 4
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...
MuleSoft – GCP BigQuery
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...