Jenkins part 3
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Jenkins is an open source tool that supports continuous integration to continuously build and test code changes. It provides a dashboard that shows the status of builds, projects, and dependencies. Jenkins can be enhanced through plugins that add features like source control integration, testing, notifications, reporting, and artifact storage. It is flexible and can be run on-premises or on cloud-based solutions. Jenkins supports agile development principles and is a key part of enabling continuous integration.
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Maven is a Java project management and build tool that uses a Project Object Model (POM) defined in XML files to manage a project's build, reporting and documentation from a central information source. It is based on a small core with numerous plugins that can be used to compile code, run tests, generate documentation and more. Maven uses local and remote repositories to download dependencies and build artifacts that projects specify in their POM files.
Jenkins part 2
Jenkins is an open source automation server that enables developers to easily automate builds and tests of software projects. It was originally forked from Hudson in 2011 and is written in Java. Jenkins supports continuous integration workflows and can integrate with source code management systems and build tools. It has over 400 plugins that add additional functionality for testing, notifications, artifact storage, and more.
Jenkins Part 1
The document discusses Jenkins, an open source continuous integration tool. It provides an overview of continuous integration and how Jenkins fits into the continuous integration workflow by automating the build, testing and deployment processes. Some key benefits of Jenkins mentioned are immediate bug detection, having a deployable system at regular intervals, and maintaining a record of the project's evolution.
jBPM Connector
This document provides an overview of jBPM and how to build a custom jBPM connector for MuleSoft. jBPM is an open-source BPM suite that allows modeling, executing, and monitoring business processes. The connector development process includes setting up a project, writing connector code, testing, and packaging. The jBPM connector was developed using the Devkit plugin and utilizes annotations like @Connector, @Connect, @Configurable, and @Processor to integrate with the jBPM engine and enable process invocation and management through Mule flows. Connector tests are also written to validate success and failure scenarios.
Java for beginners
This document provides an overview of a Java programming course that aims to teach students Java from the basics to more advanced topics over 12 hours of video lessons. The course covers Java syntax, object-oriented programming concepts, exception handling, generics, streams, concurrency, data structures, and build tools. It is intended for programmers who want to learn to build software and systems using the Java language.
Scatter gather
The document discusses scatter-gather flow control in Mulesoft. Scatter-gather sends a request to multiple targets concurrently and collects the responses, aggregating them into a single message. It replaces the deprecated all message processor. Parallel execution of routes can increase efficiency over sequential processing. Scatter-gather sends messages to all configured routes concurrently. If a route fails, it sets an exception payload and throws a composite exception mapping failures to routes.
Velocity in Mule
This document discusses how to use Velocity templates in Mule to send dynamic emails with pre-defined formatting and content. Specifically:
- Velocity templates allow designing email bodies with HTML tags to include text formatting, images, logos, and dynamic values from properties files.
- A Velocity transformer Java class is used to set the email payload and map external dynamic values to the email body.
- An example template picks values like names from a properties file and appends the content of an inbound file to the email body.
- Testing the application involves placing a file in an inbound folder, which triggers an email with the Velocity-generated body to be sent successfully.
Rabbit Mq in Mule
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or patterns. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to and receive messages from RabbitMQ queues via exchanges. For example, one flow may send a message to a queue using a direct exchange, while a receiving flow gets messages from the same queue via the direct exchange.
Quartz in Mule
Quartz can be used in Mule applications to schedule events. Inbound quartz endpoints can trigger repeating events like every second, while outbound endpoints schedule existing events for later dates. Cron expressions define schedules using fields separated by spaces. Jobs perform scheduled actions. For example, a Mule flow can be configured to write a file to an outbound folder every specific interval using quartz.
Simple web service vm
The document discusses using VM components in Mule to decompose a complex flow into smaller pieces to improve performance and control. It shows how to expose a CXF web service by breaking the flow into two parts connected by VM queues. This allows controlling each event queue separately and preventing overcommitting of resources. It demonstrates storing message properties before sending to the VM queue to retain them for the next flow, since properties may be lost passing through VM.
Validate soap request in mule
The document discusses validating SOAP requests in Mule by using a schema validation filter. The filter allows validating a SOAP request against an XSD schema file. If invalid, a custom error message can be returned. The code example shows adding the filter to the flow before the SOAP service. This validates requests and routes invalid ones to a subflow to return the error.
Web service vm in mule
The document discusses exposing a CXF web service in Mule by decomposing the flow into smaller parts connected by VM components. This allows breaking the logic into smaller pieces to improve performance and control. It provides an example configuration with two flows, one for the CXF component and one for the implementation class connected by a VM queue. Properties are stored before sending to the VM to preserve them across flows. Additional techniques for using VM endpoints will be covered in the next slides.
Xslt in mule
The document discusses how to use XSLT transformations in Mule applications. XSLT can transform XML payloads from one form to another. Mule supports XSLT transformations using the XSLT transformer component. The example shows a flow that uses an HTTP inbound endpoint, sets an XML payload, applies an XSLT transformation defined in a file, and outputs the transformed XML. The XSLT file uses templates and XPath to map elements from the source XML to the new structure in the output XML.
Drools in Mule
Mule applications can use Drools to execute business rules. Drools is a business rules management system that provides a business rules engine. A Mule application example is presented that generates a random weight variable and uses a Drools component to check rules defined in a .drl file to set the destination based on the weight. The rules determine if the weight is less than or equal to 50, the destination is set to WAREHOUSE_B, otherwise it is set to WAREHOUSE_A. Testing the application by hitting a URL demonstrates it working as defined by the rules in the .drl file.
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Jenkins part 3
- 1. Jenkins Continuous Build System Jenkins With Example
- 2. Jenkins by example – Main Page • The main page provides a summary oftheprojects • Quick view of • What’sbuilding(“Nobuilds inthe queue”) • Build ExecutorStatus (both“Idle”) • Status ofthe projects
- 3. Jenkins by example – Project Status • Projectstatuspagesprovidemoredetailsabouta given project • The status ofthe last severalbuilds • Charting(depending onplugins) • Dependencies
- 4. Jenkins by example – Project Status
- 5. Jenkins by example – New Project
- 6. Enhancing Jenkins • Jenkinspluginsystem can enable awide range offeatures including(but certainly not limitedto) • SCM • Mercurial,Git, Subversion • Testing • Selenium,Windmill,TestLink • Notifications • IRC,Twitter,Jabber • Reporting • Doxygen,PMD,Findbugs • Artifact Saving • Artifactory,AmazonS3, SCP • Triggers • Jabber,DirectoryWatchers • ExternalIntegration • GitHub, Bugzilla,JIRA • Andmost importantly– TheCI Game • A pointsbasedgame where developerscompeteagainst each othertodevelopthe most stable,well- testedcode
- 8. Running Jenkins yourself Jenkinsis packaged asaWAR, so you can drop itintowhicheverservlet containeryou preferto use Jenkinscomes pre-packaged withaservletifyou justwant alight- weightimplementation Native/Supportedpackages exist for Windows Ubuntu/Debian Redhat/Fedora/CentOS MacOSX openSUSE FreeBSD OpenBSD Solaris/OpenIndiana Gentoo
- 9. Running Jenkins yourself – Updates • Jenkins has two releaselines • Standardreleases • Weekly bug fixesandfeatures • Long-Term Supportreleases • Updatesabout every 3months • Usesa“Stablebut older”version fromthe standard release line • Changes are limitedtobackported,well-tested modifications
- 10. Letting someone else run Jenkins • Therearealsocloud-basedsolutionsthatcanprovide a Jenkins instance • Cloudbees- http://www.cloudbees.com/ • ShiningPanda - https://www.shiningpanda.com/
- 11. Tying it into Agile ForanAgileteam,Jenkinsprovideseverythingneededfora robust continuous buildsystem JenkinssupportsAgileprinciplesbyconstantlyproviding access toworking copies ofsoftware Jenkins’extensibilityallowsthesystemtoadapttomany differentpre-existing environments
- 12. Putting it all together WhileanintegralpartofaCI system,Jenkinsisbynomeans theonly component InorderforaCI systemtofunction,acommonrepository forthe codebase needstoexist A databaseofartifactsneedstoexist,sodeliveriescanbe madeat pastiterations ThelaststepinaCI processisthedeploymentofthe componentsbuilt …and noneofthismattersifthedevelopersdon’tusethe system;proceduresneedtoensurethesystemisusedas intended
- 13. Conclusion Continuous integration is anecessity on complex projects due to the benefits it provides regarding early detection of problems A goodcontinuousbuildsystemshouldbeflexibleenoughto fitintopre-existingdevelopmentenvironmentsandprovide all the features ateam expectsfromsuch a system Jenkins, acontinuous build system, can beanintegral part of anycontinuous integration system due to it’s core feature set andextensibilitythrough aplugin system
- 14. References ContinuousIntegration– Martin Fowler http://www.martinfowler.com/articles/continuousIntegration.html Hudson http://hudson-ci.org/ Hudson ContinuousIntegrationServer http://www.code-magazine.com/articleprint.aspx?quickid=0906071&printmode=true TheHudson Book http://www.eclipse.org/hudson/the-hudson-book/book-hudson.pdf Jenkins https://wiki.jenkins-ci.org MonkeyImage http://corrines-corner2006.blogspot.com/2011/09/freebie-monday_26.html Whatis ContinuousIntegration http://confluence.public.thoughtworks.org/display/CCNET/What+is+Continuous +Integration