4. Project Goal
Problem:
We keep “inventing” different ways to accomplish
similar integration tasks, leading to a variety of software
that needs to be maintained, supported and enhanced
by staff who understand that particular technique.
Solution:
Provide standard ways to achieve these common
integration tasks, thereby simplifying our software base
and making it more easily maintainable and accessible
by our partners in a consistent manner.
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5. POC Goals
1. Get experience with Enterprise Service Bus (ESB) software in
general and with 2 or 3 specific ESB products.
2. Determine if an ESB could address our problem statement.
3. Identify an ESB that might best fits our needs.
4. Achieve these goals in three months (April – June, 2014)
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POC Team
• John Marks (GMAS Practice)
• John Shen (PeopleSoft Practice)
• Sreeni Gunnala (FinProc Practice)
• Bill Brickman (HDW Practice)
• Mike Thomas (Lead Architect)
• Lisa Justiniano (Sponsor)
7. Objectives
• Adopt a standard, very high-level language for building
integrations between systems.
• Replace existing solutions that we use to integrate
systems, currently written in a variety of languages
including:
– Perl
– ksh, bash, awk, sed
– SQL*Plus, SQL*Loader
– Java
• Stop implementing a different solution for the same
general problem over and over.
• Make our integrations between applications more resilient
by reducing or eliminating timing dependencies.
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8. Objectives
• Utilize a centralized solution in order to:
– Reduce cost and time to production
– Improve operational transparency
– Reduce security complexity and overhead
• Deploy a low cost, open and extendible solution.
• Transition slowly and incrementally over time to avoid
major disruption and allow measured adoption.
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10. Introduction to Enterprise Service Bus Software
• Two Logical Components
1. ESB
2. Message Queues
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<from uri="file:/data/db/input"/>
<setBody><xpath resultType="java.lang.String">/query/lastName</xpath></setBody>
<to uri="sql:select count(*) as cnt from person where last_name=#?dataSource=myDS"/>
<setBody><simple>${body[0][CNT]}</simple></setBody>
<setBody><simple>${bodyAs(String)}</simple></setBody>
<to uri="file:/data/db/output"/>
• Sample Code:
• monitor a folder
• xpath extract
• sql query
• write result to file
11. ESB Functionality
• Host web services and call external web services
• Monitor folders (local and remote) for incoming files
• Transfer files to remote systems
• Query and update databases
• Query LDAP / AD directories
• Send and receive JMS messages
• Send and receive email
• XML parsing, searching etc.
• Call shell scripts, Java bundles
• Do SNMP queries
• TCP sockets
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13. Benefits
• Faster to market.
• More easily maintainable integrations:
– Fewer lines of code.
– Simple, URL-like, syntax.
– Code is provided for us, we just write the configuration.
• Integration libraries (DB, web services, LDAP & AD, etc.) means we
can do things we wouldn’t have attempted before.
• Transformations become possible, both in payload and in
transmission protocol, without modifying the source or target
systems.
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14. Benefits
• To make both synchronous and asynchronous integrations easier.
• To enable all applications to take advantage of asynchronous
integration, meaning:
– Applications are decoupled so dependencies are relaxed:
• One application can be taken down for maintenance without notifying or
affecting other applications.
• Less worry about missed time windows (as with current batch transfers).
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– Move from batch to transactional: fresh data gets to users faster.
15. Benefits
• Enforce generic and
modular coding style
– Many small reusable
bundles of code.
• Improve operational
transparency
– One place to see source of
issues and usage trends.
• Reduce security overhead
– a common gateway where
security is already
controlled (ACLs and
logins).
• Centralized simplicity
vs. point-to-point
complexity
16. Benefits
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• Eliminate the “daisy
chain” method of
obtaining information so
that:
– Data gets to the end-
users faster
– Subscribers don’t
need to know much
about the source
systems
– There is a single
source of “truth”
18. Recommended Solution
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We looked at several products:
– Mule ESB
– Apache ServiceMix
– Red Hat jBoss Fuse three closely related and use ActiveMQ
– Red Hat jBoss Fabric8
– Informatica
Our recommendation:
ESB Message Queue
– Fabric8 for cloud deployment - ActiveMQ
– ServiceMix for conventional deployment
• Free, open source, standards compliant
• Multiple vendors (Apache – free; Red Hat – QA and support)
• All support fail-over and load balancing
19. Recommended Solution – Deeper Dive
• Fabric8 and Service Mix have common components:
– OSGi Containers: Apache Felix, Apache Aries (deploy bundles)
– Command line UI: Apache Karaf
– Integration Library: Apache Camel (routes)
– Web Services Library: Apache CXF
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– Many more
• Fabric8 adds cloud
deployment features.
• Developer (standalone)
setup in 5-10 minutes.
20. Recommended Solution – Deeper Dive
• ActiveMQ JMS message broker
– supports both kinds of message queues:
• point to point
• publish / subscribe
– backed by our choice of persistence: Kaha DB, AMQ storage,
JDBC (MySQL, Oracle, etc.)
• If necessary we will evaluate alternatives to ActiveMQ like:
– Oracle DB JMS implementation
– Red Hat A-MQ
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21. Recommended Solution - Architecture
Some possible configurations:
A. Multiple message brokers, private to specific groups of applications.
B. Single message broker, each application has its own ESB.
C. Single ESB and single message broker.
D. Shared message broker, ESBs private to groups of applications.
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22. Recommended Solution - Architecture
• In the future we may need to move to a more complex architecture:
– for performance reasons
– to isolate populations (of developers, or systems, or even users) from
one and other
• Lowest cost and provides most benefit in
terms of shared security, logging and
auditing.
• Reduced deployment time (infrastructure
and ACLs are already in place).
• Developer environment and deployables
are the same regardless of which
architecture we choose, so is possible to
change architecture over time.
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Our recommendation:
24. Impact
• Impact on ATS Developers:
– New language, new deployment mechanisms.
– First integration might be hard. Second one is easy.
• Training materials will be available.
– Reduction in labor and drudgery required to build integrations
• Impact on ESB POC team:
– Outreach: demos, brown bags, wiki, and training materials.
– Best practices for error handling, logging, integrating with scheduling
and monitoring tools, and security and authorization.
– Build-out TEST and PROD infrastructure (including evaluating
alternatives to ActiveMQ like Oracle DB’s JMS).
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25. Impact
• Impact on Integration partners:
– Will need to learn how to “subscribe” to a service
– Will need to learn how to “consume” a service
– Will need to assist with testing
and they...
– Will get new options for integrating with Enterprise Applications
– Will see improved reliability.
– Will see reduced time to market for new integration requests.
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27. Next Steps
• Immediately build our TEST environment
• Each Practice (Enterprise Applications) will identify one or two
integrations that they would like to deploy via this new ESB as part of
their FY15 Innovation Goal
– New integration
– Existing Service
– Change management implications
• Confirm our architectural choices
• Expand infrastructure to support load balancing and fail-over.
• Build our PROD environment
• Deploy and stabilize
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28. Next Steps
1.Prepare TEST Environ: months 0-4
– Install and configure bare-bones
infrastructure
– Determine and document best practices
2.Build Integrations: months 2-18
– Build and test internal integrations
– Verify assumptions
– Assess learning curve
– Assess support issues
– Confirm low impact and minimized risk
3.Rollout Pilot: months 8 –18
– Upgrade infrastructure for fail-over / load
balancing
– Build PROD environment
– Deploy Pilot Integrations
– Stabilize PROD environment and
integrations
– Refine training materials
4.Rollout to ATS: month 18 & beyond
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Prepare
Build
Pilot
Rollout
30. Example Camel Route
<!-- 1. Monitor folder for new files and use XPath get the
surname to query from the XML input file. -->
<from uri="file:/data/db/input"/>
<setBody><xpath resultType="java.lang.String">
/query/lastName</xpath></setBody>
<!-- 2. DB query. -->
<to uri="sql:select count(*) as cnt from person where
last_name=#?dataSource=myDS"/>
<!-- 3. Extract count and convert to string. -->
<setBody><simple>${body[0][CNT]}</simple></setBody>
<setBody><simple>${bodyAs(String)}</simple></setBody>
<!-- 4. write to file. -->
<to uri="file:/data/db/output"/>
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