Gradle Deployment Guide

java Linux

Please feel free to contact us

Go
img

About

Gradle is a versatile build automation tool designed to streamline the process of building, testing, and deploying software. Known for its flexibility and efficiency, Gradle supports a range of programming languages and integrates well with CI/CD pipelines, making it a popular choice for modern software development.

Features

  1. Dependency Management
    • Simplified Handling: Easily manage and resolve project dependencies.
  2. Multi-project Builds
    • Efficient Management: Supports complex projects with multiple subprojects.
  3. Customizable Build Scripts
    • Flexible Configuration: Define build logic using Groovy or Kotlin DSL.
  4. Incremental Builds
    • Optimized Performance: Rebuilds only modified parts to save time.
  5. Build Caching
    • Reusability: Caches build outputs to avoid redundant processing.
  6. Plugin System
    • Extensibility: Integrates various plugins to enhance functionality.
  7. Task Automation
    • Custom Tasks: Automate repetitive tasks with custom-defined actions.
  8. IDE Support
    • Seamless Integration: Works with IDEs like IntelliJ and Eclipse.
  9. Continuous Integration
    • Pipeline Integration: Easily integrates with CI/CD tools for automated workflows.
  10. Cross-platform Support
    • Versatility: Operates across different operating systems and environments.

You can subscribe to Gradle, 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 with username ubuntu and key pair to start the application.

ssh -i ssh_key.pem ubuntu@instance-IP


Step 2: Check Gradle Version

- Ensure you are using the latest Gradle version.

gradle -v

Step 3: Update Dependencies

- Verify and update project dependencies.

gradle dependencies

Step 4: Clean Build

- Remove previous build outputs to start fresh.

gradle clean

Step 5: Build Project

- Compile and package the application.

gradle build

Step 6: Run Tests

- Execute tests to ensure code quality.

gradle test

Step 7: Deploy Artifacts

- Publish build artifacts to the repository or server.

gradle publish

Step 8: Verify Deployment

- Check logs and endpoints to confirm successful deployment.


All your queries are important to us. Please feel free to connect.

24X7 support provided for all the customers.

We are happy to help you.

Submit your Query: https://miritech.com/contact-us/

Contact Numbers:

Contact E-mail:

Submit Your Request





    Input this code: captcha

    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

    • icon

      Incremental Builds

    • icon

      Comprehensive Dependency Management

    • icon

      Multi-Project Support

    • icon

      Parallel Execution

    Application Installed

    • icon Gradle Deployment Guide
    • icon java
    • icon linux