Hyperledger Bevel is an impressive automation framework designed for deploying production-ready Distributed Ledger Technology (DLT) platforms quickly and consistently. In this guide, we’ll walk you through how to get started with Hyperledger Bevel, the various deployment methods available, and some troubleshooting tips to help you on your journey.
Short Description
Hyperledger Bevel is an accelerator tool that streamlines the processes involved in setting up and deploying secure and scalable DLT networks. It facilitates easy onboarding for new organizations and ensures a smooth operation of various DLTs.
Scope of Project
This framework includes:
- Helm charts for deploying DLT nodes and generating related crypto identities.
- Helm charts for operational features, such as adding new nodes and deploying smart contracts.
- Automation scripts using Ansible for deploying Helm charts.
- Integrated Continuous Delivery (CD) using GitOps.
- Configuration for various Ingress Controllers.
Getting Started
To get up and running with Hyperledger Bevel, check out the Getting Started guidelines. For detailed operator and developer documentation, visit the ReadTheDocs site.
Understanding Deployment Methods
Let’s break down the deployment methods available for various DLTs using a simple analogy. Imagine you’re setting up different types of gardens (DLT networks) in your backyard (cloud infrastructure). You can use either a pre-made garden kit (Helm install) or follow a guide to build your garden from scratch (Ansible).
Each type of garden has specific needs:
- Hyperledger Fabric: You can either follow the imitation garden kit (a Helm chart) or use the detailed manual to plant each seed (Ansible scripts).
- Corda Enterprise and Opensource: Just like the Fabric garden, you can choose either the kit or the manual to set up your Corda network.
- Hyperledger Indy, Quorum, Hyperledger Besu, and Substrate: Each of these gardens can be set up with their own kits or manuals, adapting the methods to each plant type.
Troubleshooting Your Setup
If you encounter any issues during your setup, here are some troubleshooting ideas:
- Ensure that your cloud infrastructure is properly configured before deploying.
- Double-check the Helm charts or Ansible scripts for any errors or missing dependencies.
- Refer to the developer and operator documentation for guidance on common problems.
- Engage with the community through our Discord channel for support and advice.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Conclusion
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.