The document summarizes an API monitoring meetup hosted by the Surat MuleSoft Meetup Group. The meetup discussed API monitoring in a new perspective to make APIs self-healing. It covered how APIs are central to digital enterprises, different types of APIs and challenges, various types of API monitoring including synthetic and real user monitoring, key parameters to monitor like runtime, management, and business events, and a conceptual next generation intelligent event processing engine that could enable situational auto-deployment, auto-scaling, predictive analytics and periodic design suggestions based on monitoring data to make APIs self-sufficient.

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Surat MuleSoft Meetup Group
API Monitoring – A New Perspective
14th Dec 2022
21:00 IST (GMT+05:30)

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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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A recording of this meetup will be uploaded to events page within 24 hours.
Questions can be submitted/asked at any time in the Chat/Questions & AnswersTab.
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Housekeeping
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Organizers
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Jitendra Bafna
Senior Solution Architect
EPAM Systems
Nitish Jain
Application Developer
Accenture

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Speaker
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• Total Experience of 25 Years
• Working in Integration Space for last 19 Years
• Enterprise Integration Architect
• MuleSoft Community Leader since 2019 and
Mentor since 2021
• Speaker and Blogger
• Technology Enthusiast
Aravind Babu
Ramadugu
Architect - Accenture

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We will be discussing the API Monitoring in a new and modern perspective to make the APIs
self heal
Agenda
A. Introduction
B. APIs Central to Digital Enterprises
C. Classification of APIs
D. API Challenges
E. Types of API Monitoring
F. Monitoring Key Factors
G. Conceptual Next Gen Monitoring
H. Q &A

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APIs are central to Digital Enterprises
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On Premise and/or Cloud
Information Management Layer
Analytics Services
API
Management
Service
Management
Platform
Management
API Security
Developer Services
Business Rules
Business Process
Orchestration Service Orchestration
Sense And
Response
Traditional Integration Layer
Service Mediation Messaging Connectivity
Interaction Layer
- Micro Orchestration - Mediation Transformation Traffic Management
Developer Portal
• Internal
• External
• Partner
Mobile Web Partners Services IOT
• APIs are the critical building blocks for today's digital applications.
• Over the time enterprises develop large collection of APIs and Applications
• It creates a big library of the building blocks where we the enterprises will benefit having faster time to market
• Faster Return on Investment.
Typical Enterprise API Landscape

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Types of APIs in an Enterprise
There are different types of APIs. The Most commonly used API types in any
Enterprise are
Internal APIs External APIs
Private APIs Public APIs
Partner APIs
APIs can be SOAP, REST, HTTP and Graph QL.

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Challenges with APIs in Digital Enterprise
• API Monitoring will help answer the following questions for an Enterprise
• API Monitoring
The Practice of gathering and evaluating the data about an API’s performance
to spot any issues that can effect the consumers of these APIs.
Are my APIs running?
How are my APIs performing?
How many times a particular API is being invoked? What kind of information and
data is transactions?
What are the different kinds of failures that are happening with respect to API(s)?

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Types of API Monitoring
Synthetic Monitoring
• Practice that emulates the paths
users might take when engaging
with an application.
• Automatically keep tabs on
application uptime
• Uses scripts to generate simulated
user behavior for various
scenarios, geographic locations,
device types, and other variables.
• Once the data is analyzed, This
kind of Monitoring Solution can
provide crucial insights into how the
APIs are performing
Real User Monitoring
• provides valuable insights into an
application’s usability and
performance by observing the
actual user experience
• More than simple data capture.
• Allows developers to visualize the
entire journey within the app and
resolves issues quickly.
• Provides full stack observability.

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Key API Parameters to Monitor
• Runtime Parameters
• CPU Utilization
• Memory Utilization
• State of the API (Running, Not
Responding, Stopped)
• Thread Count
• Message Counts
• Message Failure Counts
• API Management
• Request Count
• Response Codes
• Response Times
• Policy Violations (Security, SLA)
• Application Performance Monitoring
• Monitors API performance in Real time
• Ensures application network uptime
• Predict System Failures and proactively send
alerts.
• Business Events Monitoring
• Critical to gain insights into the Business related
Processes
• Will be fed into the Intelligent Engine to take
business related actions through code.

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Current API Monitoring and Future
Provides insights into Application and API’s
Health and their performance in terms
• Runtime Related Insights
• Performance Related Insights
• API Health Related Insights
• Log Ability
• API Functional Insights
• Business Events
• Now that we have all the monitoring data
what do we do this data to make our API
and Applications self heal and self sufficient.

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Intelligent Event Processing Engine
Conceptual Next Gen API Monitoring
Monitoring Sources
Monitoring Data
Application/API
Logs
API Mgmt.
Data
System Logs
Event
Identification
Situational Auto
Deployment
Situational Auto Scale
up/Down
Periodic Design
Suggestions
Business Data
Analysis Report
Predictive
Analytics
AI based Rules Engine

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Situational Auto Deployment and Scaling
• Situations:
➢ When the API instance is going down and with CPU Usage or Memory Utilization
➢ When the API Instance(s) suddenly stops working
➢ The peak load suddenly becomes high and current API instance(s) cannot handle the load
Event Type Detection
Events Flow Event Analysis
Event Action

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Periodic Design Suggestions Report
• Situations:
➢ Business Events that are being processed with APIs are fed in the form of logs and other types actions into the
AI Engine
➢ Based the error analysis, response time analysis and applying some intelligent rules the engine will make
certain design suggestions if necessary to the APIs to optimal performance
Business Event Type Detection
Events Flow Event Analysis
Event Action
(Design Suggestion)
Long term goal as this particular solution will need to learn
from various data events occurring across each API.

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Summary and Conclusions
• We have looked at the following in our presentation
○ How APIs are central to the success of digital enterprises
○ Illustrated Couple of industry use cases on how API are driving the
enterprises in digital age
○ Current API Monitoring and security options
○ How we can make these APIs self heal and be self sufficient
○ Possibilities are endless and can be used across many different use cases to
make APIs performant and self reliant and completely automated.

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Thank You

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Quiz Time
Get ready to WIN a Special Gift
from MuleSoftCommunity

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

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