Jira

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About

Jira is a popular project management and issue tracking software developed by Atlassian. It is widely used for managing software development projects, as well as for other types of projects that require issue tracking, workflow management, and team collaboration. Jira is particularly popular in Agile environments but can be customized to fit other methodologies as well.

Key Features:

1. Core Features:

  • Issue Tracking: Jira is primarily used to track and manage issues (which can be tasks, bugs, user stories, or any other work item) throughout the project lifecycle.
  • Workflows: Customizable workflows that define the sequence of steps an issue goes through (e.g., To Do, In Progress, Done). This helps teams track the progress of each issue.
  • Boards: Jira offers Kanban and Scrum boards that are used to visualize and manage workflows. The boards are often used in Agile environments to manage the flow of tasks and track progress.
  • Backlog Management: Teams can create and prioritize backlogs of issues, allowing for easy management of tasks and sprints (in Agile methodologies).
  • Reporting: Built-in reporting tools allow for tracking of project progress, team performance, and issue resolution metrics. Popular reports include burndown charts, velocity charts, and sprint reports.
  • Permissions and Security: Jira allows for fine-grained permissions management, controlling access to issues, boards, and projects based on user roles.

2. Agile Project Management:

  • Scrum: In Scrum methodology, Jira helps teams organize work into Sprints, plan sprint goals, and track sprint progress. The software supports features like Sprint Planning, Burndown Charts, and Velocity Tracking.
  • Kanban: For teams using Kanban, Jira provides boards that visualize work in progress, limit work in progress (WIP), and facilitate continuous delivery. Kanban in Jira helps manage work items that move through various stages of completion.

3. Customization:

  • Custom Issue Types: Jira allows you to define custom issue types, such as bugs, stories, epics, or tasks, to suit your team’s needs.
  • Custom Fields: Custom fields can be added to issues to capture unique information relevant to your projects.
  • Custom Workflows: Teams can design their own workflows, defining statuses, transitions, and rules to match their processes.
  • Add-ons and Integrations: Jira can integrate with many third-party tools, such as Slack, GitHub, and Confluence, to extend its functionality. There is also a vast marketplace of add-ons that can enhance Jira with features like test case management, time tracking, and advanced reporting.

4. Jira Products:

Jira offers several products tailored to different types of project management needs:

  • Jira Software: For software development teams; includes tools for Agile project management (Scrum, Kanban), bug tracking, and release planning.
  • Jira Service Management: A service desk solution for IT and customer support teams. It includes features like SLAs, incident management, change management, and knowledge base integration (via Confluence).
  • Jira Work Management: For non-technical teams, this version of Jira provides a simpler, more user-friendly interface for project and task management, with features like Gantt charts, approval workflows, and timelines.

5. Deployment Options:

  • Cloud: Jira Cloud is a SaaS (Software as a Service) version hosted by Atlassian. It provides scalability, security, and automatic updates but may have some limitations in customization compared to on-premise versions.
  • Server: Jira Server is a self-hosted version, which means the user organization is responsible for maintaining the server, applying updates, and managing backups.
  • Data Center: Jira Data Center is a scalable, high-availability version of Jira Server, designed for enterprise-level organizations that need to support large teams or complex configurations.

6. Use Cases:

  • Software Development: Jira is most commonly used in software development for tracking bugs, user stories, and features. It integrates well with version control systems like Git.
  • IT Service Management (ITSM): Teams use Jira Service Management to handle IT support requests, incidents, change management, and service-level agreements (SLAs).
  • Marketing, HR, and Operations: Jira Work Management is often used by non-technical teams to manage workflows such as content creation, hiring processes, and operational tasks.

7. Advantages of Using Jira:

  • Scalability: Jira is highly scalable, making it suitable for teams of all sizes—from small startups to large enterprises.
  • Flexibility: The platform can be adapted to a variety of use cases, from Agile project management to service management.
  • Collaboration: Jira enables strong team collaboration, with tools for communication, tracking, and reporting.
  • Integration with Atlassian Ecosystem: Jira works seamlessly with other Atlassian tools, such as Confluence (documentation), Bitbucket (version control), and Trello (task management).

8. Disadvantages:

  • Complexity: Jira can be complex to set up and configure, especially for new users or organizations without a dedicated Jira admin.
  • Learning Curve: There is a learning curve, particularly for users who are new to Agile practices or those unfamiliar with Jira’s many features.
  • Performance Issues: Some users report performance issues, particularly in larger, more complex instances with a lot of custom configurations.

9. Alternatives to Jira:

  • Trello: A simpler, more visually oriented tool also by Atlassian, suitable for less complex projects.
  • Asana: A task and project management tool that’s easy to use and can handle various project types.
  • Monday.com: A highly customizable project management platform with a focus on visual tracking.
  • ClickUp: An all-in-one project management tool that supports task tracking, time management, and goal setting.
  • GitHub Issues: For development teams using GitHub, the integrated issue tracker is a simpler alternative.

You can subscribe to Jira, an AWS Marketplace product and launch an instance from the 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.

Usage/Deployment Instruction

Step 1: SSH into Your Instance: Use the SSH command with the username ubuntu and the appropriate key pair to access your instance. To check the version of your application run the below commands: 

ssh -i path/to/ssh_key.pem ubuntu@instance-IP

and

sudo su

Replace path/to/ssh_key.pem with the path to your SSH key file and instance-IP with the public IP address of your instance.

Step 2: Go to http://IP Address:8080.

Access Jira Web UI

Now, open your web browser and access the Jira web interface using the URL http://your-server-ip:8080. You will be redirected to the following screen:

Select “i’will set it up myself” and click on the Next button.

Select “My Own Database“, provide your database details and click on the Next button.

DataBase Name- jira

User Name – Admin

Password – admin@123

Provide your application title, Mode, URL, and click on the Next button.

Provide your trial license key and click on the Next button.

Provide your administrator account details and click on the Next button.

Click on the Finish button to complete the installation.

Select your desired language and click on the Continue button.

Choose your avatar and click on the Next button.

Click on “Create new project” to create your first project.

Select “Scrum software development” and click on the Next button.

Click on the Select button to select your Workflow.

Provide your project name and key, then click on the Submit button.

Congratulations! you have successfully installed JIRA on Ubuntu 22.04. You can now implement Jira in your organization and start managing your project from the central place. I hope this guide will help you to install JIRA without any problem.

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    Until now, small developers did not have the capital to acquire massive compute resources and ensure they had the capacity they needed to handle unexpected spikes in load. Amazon EC2 enables any developer to leverage Amazon’s own benefits of massive scale with no up-front investment or performance compromises. Developers are now free to innovate knowing that no matter how successful their businesses become, it will be inexpensive and simple to ensure they have the compute capacity they need to meet their business requirements.

    The “Elastic” nature of the service allows developers to instantly scale to meet spikes in traffic or demand. When computing requirements unexpectedly change (up or down), Amazon EC2 can instantly respond, meaning that developers have the ability to control how many resources are in use at any given point in time. In contrast, traditional hosting services generally provide a fixed number of resources for a fixed amount of time, meaning that users have a limited ability to easily respond when their usage is rapidly changing, unpredictable, or is known to experience large peaks at various intervals.

    No. You do not need an Elastic IP address for all your instances. By default, every instance comes with a private IP address and an internet routable public IP address. The private address is associated exclusively with the instance and is only returned to Amazon EC2 when the instance is stopped or terminated. The public address is associated exclusively with the instance until it is stopped, terminated or replaced with an Elastic IP address. These IP addresses should be adequate for many applications where you do not need a long lived internet routable end point. Compute clusters, web crawling, and backend services are all examples of applications that typically do not require Elastic IP addresses.

    Amazon S3 provides a simple web service interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web. Using this web service, you can easily build applications that make use of Internet storage. Since Amazon S3 is highly scalable and you only pay for what you use, you can start small and grow your application as you wish, with no compromise on performance or reliability.

    Amazon S3 is also designed to be highly flexible. Store any type and amount of data that you want; read the same piece of data a million times or only for emergency disaster recovery; build a simple FTP application, or a sophisticated web application such as the Amazon.com retail web site. Amazon S3 frees developers to focus on innovation instead of figuring out how to store their data

    Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software. Once your database is up and running, Amazon RDS automates common administrative tasks such as performing backups and patching the software that powers your database. With optional Multi-AZ deployments, Amazon RDS also manages synchronous data replication across Availability Zones with automatic failover.

    Since Amazon RDS provides native database access, you interact with the relational database software as you normally would. This means you’re still responsible for managing the database settings that are specific to your application. You’ll need to build the relational schema that best fits your use case and are responsible for any performance tuning to optimize your database for your application’s workflow.

    Amazon S3 is secure by default. Upon creation, only the resource owners have access to Amazon S3 resources they create. Amazon S3 supports user authentication to control access to data. You can use access control mechanisms such as bucket policies and Access Control Lists (ACLs) to selectively grant permissions to users and groups of users. The Amazon S3 console highlights your publicly accessible buckets, indicates the source of public accessibility, and also warns you if changes to your bucket policies or bucket ACLs would make your bucket publicly accessible.

    You can securely upload/download your data to Amazon S3 via SSL endpoints using the HTTPS protocol. If you need extra security you can use the Server-Side Encryption (SSE) option to encrypt data stored at rest. You can configure your Amazon S3 buckets to automatically encrypt objects before storing them if the incoming storage requests do not have any encryption information. Alternatively, you can use your own encryption libraries to encrypt data before storing it in Amazon S3.

    • RDS for Amazon Aurora: No limit imposed by software
    • RDS for MySQL: No limit imposed by software
    • RDS for MariaDB: No limit imposed by software
    • RDS for Oracle: 1 database per instance; no limit on number of schemas per database imposed by software
    • RDS for SQL Server: 30 databases per instance
    • RDS for PostgreSQL: No limit imposed by software

    Highlights

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      Issue and Task Management

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      Agile Methodology Support

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      Customizable Workflows

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      Collaboration and Communication

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      Advanced Reporting and Dashboards

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      Integrations

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      Scalability and Flexibility

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      Security and Permissions

    Application Installed

    • icon Jira
    • icon mysql