Skip to main content

Best Practices in Logging

By Gourav S

Summery :


  •  Follow best practices in logging, such as avoiding logging sensitive information and using appropriate log levels for different scenarios.
  • use asynchronous logging over synchronous with a minimum logging level of WARN for a production application. In some cases, enable INFO logging level when you need to confirm events such as successful policy installation or to perform troubleshooting.
  • Avoid logging sensitive information.
  • Using correlation identifier to trace system calls across application layers.
  • Use categories to turn on/off logging during runtime, for eg we need diff. log level for Dev & PROD.
  •  If a flow uses several loggers, add some fixed text in the logger’s message to identify where it was generated. 


Labels:

Comments

Post a Comment

Popular posts from this blog

Microservices design patterns

By Gourav S
Microservices design pattern Next :  saga-design-pattern-microservices
Post a Comment
Read more

Runtime Fabric (RTF)

By Gourav S
MuleSoft's Anypoint Runtime Fabric (RTF) has many features that help with deployment and management of Mule applications: Deployment: RTF can deploy applications to any environment, including on-premises, in the cloud, or in a hybrid setup. It can also automatically deploy Mule runtimes into containers. Isolation: RTF can isolate applications by running a separate Mule runtime server for each application. Scaling: RTF can scale applications across multiple replicas. Fail-over: RTF can automatically fail over applications. Monitoring and logging: RTF has built-in monitoring and logging capabilities to help teams troubleshoot issues and gain insights into application performance. Containerization: RTF supports containerization, which allows applications to be packaged with their dependencies and run consistently across different environments. Integration: RTF can integrate with services like SaveMyLeads to automate data flow between applications. Management: RTF can be managed with A...
1 comment
Read more

MQ-Based Integration vs. REST API-Based Integration: Choosing the Right Path for Your Architecture

By Gourav S
In today's interconnected world, integration is at the heart of seamless operations.  Two of the most popular methods for connecting systems are  1. Message Queue (MQ)-based integration  2. REST API-based integration. But how do you choose the right one for your needs? 🔄 MQ-Based Integration : - Asynchronous Communication : Ensures reliability and resilience, allowing systems to communicate without waiting for an immediate response. Perfect for handling high volumes of data and complex workflows. - Decoupled Systems : MQ allows systems to operate independently, reducing dependencies and enhancing scalability. - Guaranteed Delivery : Messages are queued and delivered even if the destination system is temporarily unavailable, ensuring that no data is lost. 🌐 REST API-Based Integration : - Synchronous Communication : Ideal for real-time, request-response interactions where immediate feedback is needed. - Ease of Use : REST APIs are widely adopted, easy to implement, and pe...
Post a Comment
Read more