The document summarizes a MuleSoft meetup on logging and externalizing logs. It includes an agenda for a presentation on using the Json Logger and pushing logs to external systems like ELK. It provides configurations for the Json Logger, demos how to externalize Mule logs to a message queue and ingest them into ELK/Kibana. It ends with a Q&A and call for future speaker nominations.

1. Mon, 27th June 2022 , 09:00 PM (IST)
Nashik MuleSoft Meetup
Json Logger and Externalizing logs

2. Safe Harbour Statement
● Both the speaker and the host are organizing this meet-up in individual capacity only. We
are
not representing our companies here.
● This presentation is strictly for learning purposes only. Organizer/Presenter do not hold
any responsibility that same solution will work for your business requirements.
● This presentation is not meant for any promotional activities.
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Housekeeping
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4. Organizers
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Jitendra Bafna
Senior Solution Architect
EPAM Systems

5. 5
Speakers

6. Agenda
⮚ Logging and Json Logger
⮚ How to use Json logger
⮚ Externalizing logs
⮚ Demo

7. CHEERS..!!!
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We have prizes to give away!
3 Winners a special prize is ready

8. Logging and Json logger

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Logging
▪ Logging serves several purposes like
○ Tracking a particular transaction
○ Debugging any errors
○ Creating dashboards
○ Monitoring and troubleshooting applications

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Json Logger
As the name suggests, the JSON logger prints the JSON format logs, which can
help a lot when logging into any external log analytic tool such as ELK or Splunk. It
logs the relevant information and is helpful in the customization of content and
other fields.
Since the JSON logger has out of the box capabilities, it reduced a lot of custom
coding requirements and made this implementation much faster and easier. The
out of the box capabilities of JSON Logger that helps us majorly in our requirement
are as follows:
● Publish message on message queue
● Data masking: mask sensitive data
● rootContainer: Xml file name and line number where this logger is
placed(Very useful for debugging)
● Trace Point: flag the position in the flow from where logging is done
● Elapsed Time: indicate time elapsed between to logging activity in a flow

11. How to use Json Logger

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Clone and publish it to your exchange
▪ We should get the source code and install it on our own Exchange. This way we can
truly leverage and/or customize the component.
▪ Below is the link to github repository
▪ https://github.com/mulesoft-consulting/json-logger/tree/mule-4.x/json-logger

13. Add to Mule Palette and start using the
component
Once we publish json logger connector to our exchange, We should be able to add it to out
mule palette in anypoint studio and use component by drag/drop in our mule flows.

14. Json logger configurations

15. Externalizing logs

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Why externalize logs?
For example, e-commerce logging and the ability to monitor site performance is now the key competitive
advantage in the market. Every broken link or transaction can lead to revenue loss. Site admins and owners
need accurate site data to make sure their key pages – like checkout, login, and registration – are loading
properly. They need to know exactly who their customers are and when they are shopping.
What services should online retailers seek out to gain these insights? Here, Centralized log management
and analytics solutions, such as Elastic, have become more popular as a way to monitor applications and
environments. Logs can be aggregated according to business-critical information, such as:
● Page Load and Response Times
● Session Duration
● Geolocation
● Peak Activity Times
● Crawling Activity
● Monitoring errors

17. Externalize mule logs using Json logger

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Json logger configuration
Json logger provides options to push logs to message queue system without a lot
of custom code. It provides multiple options to choose from as a external queue
service and we can choose as per our convenience and requirement as shown
below,

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Push messages to ELK
Create a separate mule API which reads messages from queue and push these to
ELK

20. 20
Create Kibana dashboards
Create a Kibana dashboards using mule logs index

21. DEMO

22. Best Practices

23. Best Practices
1. Implement Structured Logging
2. Build Meaning and Context into Log Messages
3. Avoid Logging Non-essential or Sensitive Data
4. Use publish/subscribe model for messaging services
5. Add DLQ’s

24. Trivia quiz

25. Question 1
Which one of the following is true about Logging
a.) It is used to debug errors
b.) It is used to monitor applications
c.) It is used for a transaction tracking
d.) All the above

26. Question 2
Which one of the following is not a Json logger capability
a.) Data masking
b.) Calculate elapsed time
c.) External destinations
d.) Error alerts

27. Question 3
Which one of the following is true about Json logger
a.) It is provided by Mulesoft
b.) It is a custom connector and not provided by Mulesoft
c.) We can not publish Json logger connector to our own exchange
d.) None of the above

28. Q & A

29. Take a stand !
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●Nominate yourself for the next meetup speaker and suggest a topic as
well.

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○ Tweet using the hashtag #MuleSoftMeetups
○ Invite your network to join:
https://meetups.mulesoft.com/nashik/
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○ Contact MuleSoft at meetups@mulesoft.com for ways to improve the
program
What’s next?

31. Thanks