Streamline DevOps with GitLab
Software Development has seen dynamism like never before with Continuous Integration and Continuous Deployment (CI/CD) processes assuming critical importance for curating flawless applications. DevSecOps is the new security arm of DevOps that assists in creation and safety of robust applications. With Gitlab AI-driven DevSecOps platform, we help you in building an automated and a sturdy end-to-end development workflow. Right from its design, testing, deployment and management, GitLab brings to your doorstep an AI-powered DevSecOps platform that guarantees pace and agility. Let us explore how.
Application Development and its hurdles
- Workflows engulfed in information silos can significantly impact efficacy and productivity. Errors if any and delays in delivery can hamper application development and affect overall quality.
- Automation underlies the momentum of application development that DevOps brings to the table. If one needs to intervene manually, such processes reverse the awaited benefits.
- DevSecOps has entered the scene to ensure security enhancement and for managing security loopholes, as and if they might occur. As the security scenario becomes increasingly complex and volatile, this approach has become indispensable for a stable, secured development environment.
- Influx of different tools and technologies has tried to overcome these hurdles to attain seamless workflows and to maximize security. Syncing these many tools to build a DevSecOps chain has been the main challenge.
- Setting up infrastructure
With GitLab, you can set up a runner on an AWS EC2 instance. Built to self-manage, it offers you complete control over build environment, all while enhancing safety and scalability. Configure the runner for a dynamic spin based on your workload. This will not only lead to optimal resource usage but will also prove to be cost-cutting. - Event management
GitLab’s webhook feature lets every new code push to automatically initiate the pipeline. No more fussing over manual intervention and changing code has never been any easier. - Building the development lifecycle
GitLab lets you manage dependencies using Gradle while building the project. You can also keep a check on code quality in this phase to target issues if any, early on in the development cycle. For Java applications, you can further rely on Docker imagery. These files can be created to suit the application’s needs and to ensure encapsulation of dependencies. Store them later in GitLab’s registry and deploy as and when required. - Automation
GitLab’s pipelines also let you automatically update EC2 instances ensuring that your infrastructure is always updated with latest security measures.
Set the stage for a streamlined CI/CD pipeline to attain pace with your development cycles and to yet ensure delivery of quality code. Loaded with enhanced CI/CD capabilities, GitLab is your perfect go-to partner for a seamless application development process.
- Building stage
The first stage where the Java application is built. Compile the code, run the tests and package application into a WAR file. - Dockering stage
Create a Docker image for an application curated earlier and store it in the Docker registry. - Deployment stage
The Dockerized application is then deployed onto a virtual machine (VM).
