Welcome to the world of Selefra, the open-source policy-as-code software that offers analytics across multi-cloud and SaaS platforms! This guide is tailored to help you navigate the setup and initial use of Selefra with ease.
What is Selefra?
Selefra, which symbolizes “select * from infrastructure”, delivers comprehensive analysis for a multitude of cloud services. From AWS and GCP to Azure and Kubernetes, Selefra empowers you to manage your cloud resources effectively by generating insightful analytics on security, cost, and architecture.
Getting Started with Selefra
To kick off your journey with Selefra, follow these friendly steps:
- Install Selefra
- For non-macOS users, download packages from the official releases page.
- If you’re using macOS, install Selefra via Homebrew:
Then execute:brew tap selefra/tapbrew install selefra
- Initialize Your Project
mkdir selefra-demo cd selefra-demo selefra init - Build Your Code
selefra apply
Analyzing Cloud Resources with GPT
Once everything is set up, you can configure your OPENAI_API_KEY to begin analyzing your cloud resources. To do this, use the command below:
selefra gpt what you want to analyze --openai_mode=gpt-3.5 --openai_limit=5 --openai_api_key=Your Openai Api Key
Understanding the Code: A Twisty Maze of SQL and YAML
Imagine you’re in a huge maze where every turn is a decision point. In a similar vein, the way we write custom analysis policies for Selefra through a mix of SQL and YAML allows us to navigate through the vast possibilities of multi-cloud configurations. Just think of SQL as a treasure map leading to valuable insights and YAML as your trusty compass that keeps you oriented in this sprawling landscape. By cleverly combining the two, you can track anything from security compliance to architectural considerations.
Troubleshooting Tips
If you encounter any hiccups along the way while using Selefra, here’s how to address them:
- Installation Issues: Double-check your internet connection and ensure you’ve downloaded the correct version for your operating system.
- Configuration Errors: Make sure that your credentials for various providers (AWS, GCP, etc.) are correctly set up in your configuration files.
- API Key Problems: Verify that your OPENAI_API_KEY is valid and correctly inserted in your command line.
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.
With the power of Selefra at your hands, you can optimize your cloud strategy, enhance security measures, and save costs—all while gaining valuable insights into your infrastructure. Dive in and start navigating the cloud with confidence!

