Jenkins

ApacheTomcatJenkinsAutomation Server

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About

MIRI Infotech brings an automation server tool that provides hundreds of plugins to support building, deploying and automating any project.

A self-contained server-Jenkin can be used to automate all sorts of tasks related to building, testing, and delivering software. A very high in its flexibility level and allows continuous integration and will be installed on a server where the central build takes place.

Miri Infotech is launching a product which will configure a tool called as jenkins to a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques which is embedded pre-configured tool with Ubuntu 16.04 and ready-to-launch AMI on Amazon EC2 that contains Hadoop, Javadocs and version control server.

Jenkins can be installed to watch for any code changes in places like SVN and Git, automatically build with tools like Ant and Maven that initiate tests and then take actions like rolling back or rolling forward in production. This helps to keep the project running.

enkin is not only limited to this but also has more than 133,000 active sites, globally, and over 1,000,000 users.

The basic functionality of Jenkins is to execute a predefined list of steps, e.g. to compile Java source code and build a JAR from the resulting classes. The trigger for this execution can be time or event based.

Let us now give a brief look at some of its features which are useful for the users who want to use it.

Features

Jenkins offers the following major features out of the box, and many more can be added through plugins:

  • Rich plugin ecosystem: Jenkins integrates with virtually every SCM or build tool that exists.
  • Extensibility: Most parts of Jenkins can be extended and modified, and it’s easy to create new Jenkins plugins. This allows you to customize Jenkins to your needs.
  • Distributed builds: Jenkins can distribute build/test loads to multiple computers with different operating systems like windows, linux, etc.
  • Continuous integration and continuous delivery: As an extensible automation server, Jenkins can be used as a simple CI server or turned into the continuous delivery hub for any project.
  • Devices Supported: windows, linux, android, mac, iphone and web-based.
  • Diversity: Jenkins can be adopted by all sizes of enterprises.

Plugins

Some of the useful plugins that are used in Jenkins are mentioned below:

  • Maven 2 project
  • Amazon EC2
  • HTML publisher
  • Copy artifact
  • Join
  • Green Ball

You can subscribe to Jenkins, an AWS Marketplace product and launch an instance from the Jenkins product’s AMI using the Amazon EC2 launch wizard

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Deployment Instructions

Step 1: Open Putty for SSH


Step 2: Open Putty and Type <instance public IP> at “Host Name” and Type “ec2-user” as user name Password auto taken from PPK file


Step 3: open the browser and hit : http://<instanceip>:8080


sudo cat /var/lib/jenkins/secrets/initialAdminPassword


Skip and continue as admin


enjoy jenkins

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    The Apache Hadoop software library allows for the distributed processing of large data sets across clusters of computers using a simple programming model. The software library is designed to scale from single servers to thousands of machines; each server using local computation and storage. Instead of relying on hardware to deliver high-availability, the library itself handles failures at the application layer. As a result, the impact of failures is minimized by delivering a highly-available service on top of a cluster of computers.

    Hadoop, as a scalable system for parallel data processing, is useful for analyzing large data sets. Examples are search algorithms, market risk analysis, data mining on online retail data, and analytics on user behavior data.

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    The Hadoop JDBC driver can be used to pull data out of Hadoop and then use the DataDirect JDBC Driver to bulk load the data into Oracle, DB2, SQL Server, Sybase, and other relational databases.

    Front-end use of AI technologies to enable Intelligent Assistants for customer care is certainly key, but there are many other applications. One that I think is particularly interesting is the application of AI to directly support — rather than replace — contact center agents. Technologies such as natural language understanding and speech recognition can be used live during a customer service interaction with a human agent to look up relevant information and make suggestions about how to respond. AI technologies also have an important role in analytics. They can be used to provide an overview of activities within a call center, in addition to providing valuable business insights from customer activity.

    There are many machine learning algorithms in use today, but the most popular ones are:

    • Decision Trees
    • Naive Bayes Classification
    • Ordinary Least Squares Regression
    • Logistic Regression
    • Support vector machines
    • Ensemble Methods
    • Clustering Algorithms
    • Principal Component Analysis
    • Singular Value Decomposition
    • Independent Component Analysis

    Highlights

    • icon

      High Flexibility Level

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      Globally Active Server

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      Additional plugins can be added any time

    Application Installed

    • icon Jenkins
    • icon linux
    • icon tomcat
    • icon hadoop
    • icon python