GraudFrame is a comprehensive observability solution built on the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, Fleet) with integrated custom AI and machine learning models. It collects and processes data from various sources, offering real-time performance monitoring and intelligent alerts. GraudFrame ensures timely detection of anomalies and supports a flexible storage architecture that combines hot and cold storage with MinIO’s S3-compatible solution for efficient long-term data archiving.
Multi-module integration
ELK Dashboard
Hot and Cold Storage Architecture
S3 Long-Term Archiving
Intelligent Alerts
Integration of Multiple Data Sources
Integration of AI and Machine Learning
GraudFrame leverages custom-designed hardware to boost system efficiency, ensuring rapid response times even with demanding workloads.
GraudFrame runs on renewable energy like hydropower and wind, minimizing environmental impact. It optimizes resources while ensuring high performance, helping your business reduce its carbon footprint and support a greener future.
GraudFrame is built on open-source technologies, giving you complete visibility and control over software configurations, ensuring no vendor lock-in and full technical autonomy.