Organizations are shifting towards Cloud solutions and distributed applications. To fulfill these business requirements and quickly develop the application in a fast-paced environment, developers need a proper Project Management system that can align with their work. Jira is a widely used Issue Tracking and Agile Project Management software that allows developers to keep track of issues and progress by their team on the same project.
To boost the building, testing, and deploying process of applications, developers need to set up a separate environment. Docker is a platform as a service (PaaS) that allows developers to deliver software quickly and test them in an isolated environment. Jira software needs continuous upgrades, development, and testing. With the help of Jira Docker Integration, developers can fasten the overall process.
Multiple testing environments are always a requirement for developing and deploying new versions of software. Jira Docker Integration allows teams to boost their workflow with rapid testing and Bug Tracking. In this article, you will learn the steps to set up Jira Docker Integration. You will also read about the benefits of using Jira Docker Integration and how it helps developers and teams boost the software development process.
Table of Contents
Prerequisites
- Docker installed on your local system.
Introduction to Jira
Image Source
Jira is an Issue Tracking, Bug Tracking, and Project Management software developed by Australian Company Atlassian and used by over 180,000 customers in 190+ countries. Jira Service Management, Jira Work Management, and Jira Align are some of the listed products widely used by enterprises. With the help of Jira, companies manage all their Software Management and development activities with ease.
Jira can be integrated with various tools like Continuous Integration/Continuous Development pipelines to monitor them and access them seamlessly. JIRA contains the following packages:
- JIRA Ops: JIRA Ops is a solution developed to automate all the incident responses.
- JIRA Service Desk: JIRA Service Desk is a customer support solution that allows them to report bugs, contact for help, etc,
- JIRA Software: JIRA Software is a base software that is widely used by Agile development teams to track bugs
- JIRA Core: Jira Core is a Project Management solution for business teams to manage their work.
Key Features of Jira
Jira helps companies boost productivity in Software Development and Project Management. A few features of Jira are listed below:
- User-friendly Interface: Jira comes with an easy-to-learn interface and offers step by step instruction guide that helps users navigate and set up their workspace.
- Interactive Dashboards: Jira allows users to keep track of all the team’s activities and their progress with the help of insightful Reports and Dashboards. It offers a different configuration to create custom dashboards and reports according to their business requirements.
- Agile Development: Agile Project Management and development are the core product of Jira. It provides smooth utilization of the Scum and Kanban board.
- Security: Jira offers Centralized Administration security features where Admins are offered the necessary tools that can use for flexible governance over the data.
To know more about Jira, click here.
Introduction to Docker
Image Source
Docker is a containerization software platform that allows developers to test, build, and deploy applications quickly. Docker wraps the applications into containers that are leveraged with all the libraries, tools, and code required for running the application in a production environment. Today, companies have moved shifted towards Cloud Native development, and Docker is widely used to simplify and fasten the delivery of distributed applications.
Docker is an open-source project launched in 2013 to help developers build software once and run anywhere. Although developers don’t need Docker to create containers, Docker makes it easier, safer, and simpler to create, deploy, and manage the containers.
Key Features of Docker
Docker simplifies the development and deployment of distributed applications. A few features of Docker are listed below:
- Rapid Scaling: Docker containers deliver more work with less computing hardware. It allows data centers to cram more workload with less operating hardware that significantly lowers the costs, and enables sharing of hardware.
- Docker Swarm: Swarm is a clustering and orchestration tool that uses Docker API as a frontend to let different tools control it. It allows users to control a cluster of Docker hosts as a single virtual host.
- Application Isolation: Docker offers an isolated environment using a container to run an application without affecting other applications. The containers are individual and independent units.
- Routing Mesh: It routes the incoming requests for registered ports on available nodes to an active container. Routing Mesh allows connecting with the nodes even if there is no task is running on the node.
To learn more about Docker, click here.
Hevo Data, a No-code Data Pipeline helps to load data from any data source such as Jira, Databases, SaaS applications, Cloud Storage, SDK,s, and Streaming Services and simplifies the ETL process. It supports 100+ data sources including Jira and 30+ data sources for free and is a 3-step process by just selecting the data source, providing valid credentials, and choosing the destination. Hevo not only loads the data onto the desired Data Warehouse/destination but also enriches the data and transforms it into an analysis-ready form without having to write a single line of code.
Get Started with Hevo for Free
Its completely automated pipeline offers data to be delivered in real-time without any loss from source to destination. Its fault-tolerant and scalable architecture ensures that the data is handled in a secure, consistent manner with zero data loss and supports different forms of data. The solutions provided are consistent and work with different BI tools as well.
Check out why Hevo is the Best:
- Secure: Hevo has a fault-tolerant architecture that ensures that the data is handled in a secure, consistent manner with zero data loss.
- Schema Management: Hevo takes away the tedious task of schema management & automatically detects the schema of incoming data and maps it to the destination schema.
- Minimal Learning: Hevo, with its simple and interactive UI, is extremely simple for new customers to work on and perform operations.
- Hevo Is Built To Scale: As the number of sources and the volume of your data grows, Hevo scales horizontally, handling millions of records per minute with very little latency.
- Incremental Data Load: Hevo allows the transfer of data that has been modified in real-time. This ensures efficient utilization of bandwidth on both ends.
- Live Support: The Hevo team is available round the clock to extend exceptional support to its customers through chat, E-Mail, and support calls.
- Live Monitoring: Hevo allows you to monitor the data flow and check where your data is at a particular point in time.
Sign up here for a 14-Day Free Trial!
Steps to Set Up Jira Docker Integration
Now that you have understood about Jira and Docker. In this section, you will learn the steps to set up Jira Docker Integration. The steps to integrate Jira Docker are listed below:
Step 1: Creating a New Volume
- Firstly, open up your Docker Desktop from your local system.
- The Jira Docker Integration requires storage space to store the data. There are 2 ways to do it. First, you can mount the database to your Docker container. Second, you can create a virtual volume from your Docker terminal and use it to store Jira data.
- For this Jira Docker Integration, 2nd method will be used.
- To create a virtual volume for Jira Docker Integration, type in the command the Docker Desktop terminal shown below.
docker volume create JiraSpace
- The above command will create a new storage space for Jira Docker Integration named JiraSpace. You can change the name of the volume according to your choice, as shown in the image below.
Image Source: Self
- You can check if the volume is created or not with the command given below.
docker volume ls
Image Source: Self
Step 2: Instantiating Docker Container with Jira
- Now, you need a Jira Software image to create a Docker container installed with Jira. There are many versions of the Jira Docker image available over the internet. In this tutorial, the Jira Docker image with Tag 8 is used because it is the latest version available.
- You need to pull the Jira Docker image from the docker hub and instantiate it in the container. The command given below will do the thing.
docker run -v jiraSpace:[path of the volume] --name="jira" -d -p 8080:8080 atlassian/jira-software:8
- In the above command “docker run” will run the docker Docker container where the “jiraSpace:” is the path to the volume created for Jira Docker Integration. Provide the appropriate path in place of [path of the volume] where your new Docker volume is created, as shown in the image below.
Image Source: Self
- The “–name=” is the name of the service to be used and the port 8080 will be used on the localhost.
- The “atlassian/jira-software:8” will pull the Jira Docker image with Tag 8.
- After executing the above command, a Docker container will instantiate with the Jira image loaded onto it.
- Now, go to your browser and type in “localhost:8080” in the address bar to run the Jira Docker container, as shown in the image below.
Image Source: Self
- Now, you can configure the Jira running on a Docker container as per your business requirements.
That’s it! You have completed the Jira Docker Integration.
Benefits of Jira Docker Integration
A few benefits of using Jira Docker Integration are listed below:
- Jira Docker Integration allows developers to create multiple clones for testing purposes. Developers can copy and paste the image to deploy containers elsewhere.
- It makes it easier for developers and teams to collaborate remotely and work anywhere as it allows them to deploy the application on multiple computers even working remotely.
- Jira Docker Integration boosts the development process with Continous Integration and quick testing and deployment. The start and shutdown time of the machines is greatly improved.
Conclusion
In this article, you learnt about Jira, Docker, and the steps to set up Jira Docker Integration. You also read about the benefits of using Jira Docker Integration and how it helps developers fasten the software development process and monitor the progress of the project. Further, these containers can be easily transferred to AWS or Azure for Cloud solutions. Jira is a leading Project Management software, and using it with Docker optimizes the Software Development environment to production and adds flexibility.
Visit our Website to Explore Hevo
Jira stores important business data related to activities, progress, and other operational data. Companies can use this data to analyze and optimize the workflow. Data Warehouse is used by companies to store and analyze business data. Hevo Data is a No-code Data Pipeline that can help you transfer data from Jira for free to desired Data Warehouse. It fully automates the process to load and transform data from 100+ sources to a destination of your choice without writing a single line of code.
Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo suite first hand.
Share your experience of learning about Jira Docker Integration in the comments section below!