CASE STUDY

Full Visibility of Integration Flow and Flexibility in how it is Reported

Background

This customer is a well-known Swedish clothing retailer with stores across the country. A couple of years back they decided to set up their own IT infrastructure as part of restructuring efforts. The chosen integration platform was Microsoft Azure and a new D365 tenant was required.

Challenges

Integrations built covered multiple transport types, internal and external 3rd party systems. Questions that needed to be addressed included:

  • How to monitor the breadth of the new integration platform in a good way with full configurability of information distribution?
  • Can the required information regarding data flow reach the correct business owner and/or the support personnel easily?
  • The monitoring solution also needed to be able to grow and be maintainable when additional integrations were added. New types of alerts also needed to be included in a standard way.

“Business users have full visibility of data flows between systems allowing them to handle non-integration issues themselves, saving time and money for IT resources.  Critical integration problems, however, are alerted to the correct IT specialist to be dealt with in an efficient way.”

Results

Successful monitoring and superusers managing some notifications

By using Nodinite, the clothing retailer could monitor all exceptions or abnormal behaviour, then notify or alert the relevant party. Most of the notifications are sent to the maintenance system; however, some are directed to superusers to handle themselves. The notifications from Nodinite are fully configurable using metadata and include dynamic links where further details of the incident can be attained within Nodinite or within an external system.

Tuning

Nodinite has given the clothing retailer the visibility of processes and their data flow which has allowed them to further tune their processes and automation to both eliminate recurring issues or repetitive manual tasks.

Added Value (Building a Data Fabric)

General data flow queries or exception investigation is aided with the integration query library built up in Nodinite in the form of “Log Views”.  The library of Log Views has grown from simple requests for information by users to the result of the outcome of fault analysis during an exception investigation.

  • Has my order been sent?
  • Has my order been accepted by the 3rd party?
  • Has the 3rd party sent a new order status?
  • Is my on-premise database healthy?
  • Did my nightly jobs complete on the on-premise system?
  • How many records were inserted into my on-premise database table?
  • Have my files been processed on the FTP/SFTP/File share?
  • Do I have Service Bus Dead-Letters?
  • Are my APIs healthy?
  • And much more….