Welcome to your comprehensive guide on Pelorus – an insightful tool designed for IT organizations to enhance their overall performance by tracking key metrics. This article will help you understand how to get started with Pelorus, with user-friendly instructions and troubleshooting ideas along the way!
What is Pelorus?
Pelorus is a powerful tool that gathers metrics regarding team and organizational behaviors over time, focusing on areas of IT that significantly affect value delivery. You can measure aspects such as:
- Software Delivery Performance
- Product Quality and Sustainability
- Customer experience
For a deeper look into Pelorus, you can read this blog post by Trevor Quinn.
Setting Up Pelorus
To begin using Pelorus, you’ll want to deploy it on your OpenShift cluster. Here’s how you can do that:
- Ensure you have an OpenShift cluster running (preferably version 4.13).
- Deploy the Pelorus Grafana dashboard using the provided YAML files in the GitHub repository.
- Once deployed, access the dashboard to view the organizational-level metrics.
You’ll be measuring the four critical measures of software delivery performance.
Understanding Software Delivery Performance
Think of Software Delivery Performance as a racing team making sure that everyone works in harmony to win the race. Pelorus captures metrics like deployment frequency, lead time for changes, change failure rate, and time to restore service – each acting like a pit stop strategy, ensuring your team gets faster and more reliable deliveries.
For a visual explanation of these metrics, check out a short video here.
Documentation and Support
You can find the full Pelorus documentation at pelorus.readthedocs.io. It’s your go-to resource for detailed setup instructions and troubleshooting tips.
Troubleshooting Pelorus
If you encounter any issues while using Pelorus, here are some common troubleshooting tips:
- Deployment Problems: Ensure that your OpenShift cluster is correctly configured and that you are using the right YAML files.
- Metric Display Issues: If the metrics don’t appear, double-check that the data sources are properly configured in Grafana.
- Access Denied: Verify user permissions on the OpenShift cluster to ensure access to Pelorus resources.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Contributions and Community
If you’re excited about contributing to the Pelorus project, please review the Contribution guide to understand how you can get involved.
Final Thoughts
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.