GabbleGrid is a cutting-edge platform designed to enhance service resiliency by leveraging autonomous AI Agents. Our mission is to reduce the impact of service outages in complex IT infrastructures by providing a robust system that can predict and manage potential disruptions.
- Autonomous AI Agents: Deploy teams of AI agents that work collaboratively to monitor, predict, and act on potential service disruptions.
- Service Outage Management: Reduce unplanned downtime caused by human error, technical issues, or cyberattacks through predictive analysis and automation.
- Model Selection & Evaluation Platform: An easy-to-use platform for selecting and evaluating machine learning models tailored to your specific needs.
- Real-time Log Analysis: Process and analyze unstructured log data using advanced Transformer-based models to detect anomalies.
GabbleGrid's architecture is built on the following components:
- Model Inference Engine: Runs real-time inference on log data to generate alerts and predictions.
- Agent Teams: Specialized AI agents designed for tasks such as log retrieval, user interaction, and automated email generation.
- Core Infrastructure: Hosted on EC2 instances with data stored on EBS, ensuring a scalable and robust environment.
- Data Observation: GabbleGrid observes log data over specified time windows and predicts potential service disruptions based on learned patterns.
- Model Inference: Utilizing a Transformer-based model, the platform classifies logs as either normal or anomalous.
- Alert Generation: When anomalies are detected, the system generates actionable alerts, reducing the occurrence of false positives.
- Automation: AI agents work autonomously to handle remediation, reducing the need for manual intervention.
- High Precision: Focuses on reducing false positives to ensure that alerts are actionable and trustworthy.
- Scalable: Designed to expand beyond initial use cases, including integration with other systems and the addition of new features.
- State-of-the-Art Technology: Utilizes the latest advancements in AI, particularly Transformer models, to handle complex log data and long-range dependencies.
- Enhanced Model Robustness: Continued focus on improving model precision and recall.
- Broadened Scope: Expansion of GabbleGrid to support additional IT systems beyond the initial BG/L scope.
- Feature Expansion: Introducing more features and visualizations to enhance user experience.
- Clone the repository:
git clone https://github.com/gaurav8936/gabblegrid.git