Big Bang is a powerful declarative tool designed for continuous delivery, specifically tailored for deploying Department of Defense (DoD) approved packages into Kubernetes clusters. In this article, we’ll guide you step-by-step through the process of getting started with Big Bang, its functionality, and how to contribute. Let’s embark on this coding journey!
What is Big Bang?
Just as a well-constructed building requires foundational blueprints, Big Bang provides a structural approach to managing container deployments in a Kubernetes environment. With its three categories of packages—Core, Add-ons, and Community—Big Bang ensures that you can deploy mission-specific applications while adhering to DoD standards.
Understanding Package Categories
To effectively use Big Bang, it’s important to understand the different categories of packages available:
- Core: Essential capabilities, such as Service Mesh and Policy Enforcement, directly supported by the Big Bang development team.
- Add-ons: Additional functionalities providing enhanced features that expand beyond the core offerings.
- Community: Packages maintained by the broader community, offering alternatives or novel enhancements.
Just like a buffet where you select main dishes (Core), sides (Add-ons), and desserts (Community), you need to choose a core package from each category for a valid Big Bang installation.
Getting Started with Big Bang
To begin your Big Bang journey, follow these steps:
- Clone the Big Bang customer template into your Git repository.
- Modify your template according to your specific requirements.
- For a quick setup, refer to the Quick Start guide.
Contributing to Big Bang
You can contribute to Big Bang in several meaningful ways:
- Help improve the backlog by submitting issues on the Big Bang Teams Backlog.
- Participate in open-source projects managed under the Big Bang Technical Oversight Committee (BBTOC) by visiting this link.
- Propose new packages by following the submission guidelines.
Release Schedule
Big Bang adopts a standardized versioning system based on Semantic Versioning 2.0.0 guidelines. To keep things clear:
- Patch Version: Incremented for bug fixes or changes in core packages.
- Minor Version: Incremented when there’s a change in package integration.
- Major Version: Reflects significant changes that require major adjustments.
Troubleshooting Tips
If you encounter issues while using Big Bang, consider these troubleshooting steps:
- Check your package versions to ensure compatibility.
- Visit the project milestones for the latest updates and documentation.
- Engage with the community via Slack workspace for real-time assistance.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
By following these steps, you can successfully implement Big Bang into your Kubernetes environment, ensuring that your deployments are efficient and secure. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.