RDAF AIOPs and Observability in-place predictive analytics pipelines to integrate, enrich and correlate data in motion
CloudFabrix, the inventor of Robotic Data Automation Fabric (RDAF), unifying Observability, AIOps and Automation announced its availability on self-service cfxCloud, a SaaS platform running in AWS. Patent-pending RDAF simplifies and automates AIOps and Observability pipelines using Bots and Low code approach.
With Robotic Data Automation Fabric, preparation and data quality challenges are handled with Data Integration and Data Automation, where data is transformed, enriched and contextualised. Skills Gap has handled with Low code 1000+ Data and AI Bots Marketplace. Partners and customers can build their own custom Bots and pipelines, or use existing pipelines. Data silos at the edge, data centre and multi-cloud are addressed by low latency, streams-based Data Fabric which can ingest billions of real-time events and messages. RDAF thus delivers integrated and enriched real-time data to both operational and analytical workloads and use cases.
RDAF platform has multiple real-time data management use cases across verticals – Operational Support Systems (OSS) / Business Support Systems (BSS) for Telcos, MSP and BFSIs and Healthcare Enterprises. Examples include Customer 360, Machine data /IoT/Industrial IoT management, Operational Intelligence to predict customer churn, detect fraud, deliver personalized services, multi-tenant data privacy management, test data management, unifying observability, AIOps and Automation across Business and IT systems.
RDAF Platform comprises multi-layer architecture –
- Data Integration layer across disparate sources and sinks, formats and data types,
- Data Automation layer shaping, enriching and contextualizing the data stream, running AI/ML and analytics pipelines to derive actionable intelligence and routing to multiple sources and sinks.
- The Data intelligence layer builds services using these pipelines for each supported use case, e.g. Log Intelligence for managing log data, Customer 360, AIOps etc. Finally,
- The data access layer provides a self-service layer for different personas to gain insights into the data pipelines –
○ browser based Digital playground, on-demand dashboards and reports for citizen developers,
○ RDAF Serverless Pipeline Functions is a powerful approach to bringing data using REST APIs and CLI’s to the low code pipelines for Data Scientists and Analysts and finally
○ Data studio for IT and DevSecOps domain users.
RDAF platform is consumed as cfxCloud and cfxEdge which run as microservices in AWS cloud or hybrid data centres. One of the newer services launched using RDAF is the Log Intelligence service which improves TCO and productivity by 50 per cent and MTTR by 60 per cent for Splunk and SIEM users.
Log Intelligence service does log reduction, and correlation, while routing full-fidelity copy and persisting to either S3 bucket with timestamps or SnowFlake, enriches log with CVE, MITRE feeds, or geo IP looks-up using Infoblox does log replay to your choice of stream and enables EdgeAI and anomaly detection. Log Intelligence service is available in AWS Marketplace as consumption and contract listing for end-users and consulting channel partners.
