Observe This!! How ObserveAI Takes Multi-Cloud Observability to the Next Level
Managing observability in multi-cloud environments is a critical challenge for businesses deploying applications across platforms like Azure, AWS, and GCP. Inspired by the growing demand for streamlined log monitoring and AI-driven insights, we envisioned a solution that simplifies observability, reduces complexity, and delivers actionable insights. Leveraging advanced AI models and APIs from SambaNova Cloud, we aimed to revolutionize how teams monitor, analyze, and optimize their systems, ensuring enhanced reliability and efficiency.
How we built it
- AI Models: We utilized state-of-the-art AI models and APIs provided by SambaNova Cloud to power key features like DSL query generation, log analysis, and insights generation.
- Meta-Llama-3.1-405B-Instruct: Handles autonomous DSL query construction.
- Meta-Llama-3.2-1B-Instruct: Provides advanced log analysis, anomaly detection, and actionable insights.
- Log Aggregation: Centralized logs from Azure, AWS, and GCP using AWS OpenSearch.
- UI: Streamlit provides an intuitive interface for users to input natural language queries and visualize results.
- Deployment: Deployed on AWS for scalability and multi-cloud integration.
- Automation: Fully automated workflows streamline query translation, log retrieval, and insight generation.
App Link - 
ObserveAI
GitHub Link - GitHub Repo
Demo video - WatchOut!
. Great work 
