This document contains the agenda for a MuleSoft meetup discussing Mule 4. The agenda includes introductions from members, a discussion on Mule 4, and several demos. The demos showcase creating a ticket in ServiceNow using Mule, retrieving employee details from an SQS queue and posting to HDFS, and reading from HDFS to notify a team. The document also provides background information on ServiceNow, SQS, and HDFS.

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Products

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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MuleSoft 4.0 Meet up
Introduction about Mule Developer
Name:
Company:
Experience with Mule: Mule 3 / Mule 4
Expectations:

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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Demo Agenda
 Ticket Creation in ServiceNow with Mule
 Retrieve Employee Details from SQS and Post to HDFS
 Reading Employee Details from HDFS and notify the team

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Program Agenda
Members Introduction
Agenda
Mule 4 Discussion

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DEMO-Ticket Creation in ServiceNow with Mule

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Service Now Ticketing System
• Service Now provides service management software as a service by way of a single data model enterprise cloud
platform. The company specializes in IT services management (ITSM), IT operations management (ITOM), and IT
business management (ITBM).
• A business needs to differentiate issues to work with them more efficiently. And it’s quite logical. If we used only the
word ‘clothes’ to refer to everything we wear, it would get quite confusing. Instead, there are socks, ties, shirts, skirts
and so on. They all are different and we use them in different situations.
• Just like that, we have the following types of tickets in Service Now:
Incident (something that is unplanned and causes interruption to an IT service or reduction in its quality).
Problem (a severe issue, a cause behind a number of incidents).
Request (something users want to get from IT support).
Change (a proposal to add, modify or remove something in the sphere of IT services).

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Receive Exception Details Creating a Ticket in Service Now
Ticket Creation in ServiceNow with Mule

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DEMO-Retrieve Employee Details from SQS and Post to HDFS

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Amazon SQS
• Amazon Simple Queue Service (SQS) is a fast, reliable, scalable, fully managed message queuing service.
• Amazon Simple Queue Service (SQS) can be used to transmit any volume of data.
• By using Amazon SQS, you can move data between distributed components of your applications that perform different
tasks without losing messages or requiring each component to be always available.
• Features:
• Reliable
• It runs within Amazon’s high-availability data centers.
• Simple
• Only three APIs to start: SendMessage, ReceiveMessage, and DeleteMessage
• Flexible
• Standard queues for High throughput and FIFO queues for strict ordering ◦
• Scalable
• Automatically scales and unlimited queue and messages available ◦
• Secure and Inexpensive
• Similar like other AWS Products

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Amazon SQS
Types Of Queues
• Standard Queue
• FIFO Queue
Standard Queue FIFO Queues
Unlimited number of transactions per
second
First-in-first-out delivery, limited to 300
transactions per second
Guarantee that a message is delivered at
least once
Exactly-once processing

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Retrieve Employee Details SQS and Post to HDDFS
Receive Customer Json Post Customer Json to HDFS

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DEMO-Reading Employee Details from HDFS and notify the team

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HDFS(Hadoop Distributed File System)
• Hadoop File System was developed using distributed file system design.
• Hadoop Hadoop Distributed FileSystem
 Two server types
o Namenode - keeps track of block locations
o Datanode - stores blocks
 Files commonly split up into 128mb blocks
 Replicated to 3 datanodes by default
 Scales well: 4000 nodes
 Write once
 Large files
Features of HDFS
• It is suitable for the distributed storage and processing.
• Hadoop provides a command interface to interact with HDFS.
• The built-in servers of namenode and datanode help users to easily check the status of cluster.
• Streaming access to file system data.
• HDFS provides file permissions and authentication.

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Read Employee Details Send Notification with Employee
Details as Attachment
Reading Employee Details from HDFS and notify the team

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For any questions please write us to mule@eaiesb.com we will get back to you soon