CloudFabrix, the Robotic Data Automation Fabric inventor, announced “Data Fabric for Observability” with dynamic Data Ingestion and Automation service (DIA) for the Cisco Observability Platform. You can see the powerful combination in play at Cisco Live Melbourne between December 5-8th, 2023.
Cisco epitomizes “Experience as the new Digital Currency” with its observability platform. The platform stores relevant Open Telemetry data by modeling entities at design time and building relationships and correlations at runtime.
CloudFabrix partnered with Cisco to further elevate the platform’s “Mean Time to Insights (MTTI) and Remediations” by automating entity model creation based on AI-based data discovery, contextualization and modernization at design time and runtime. This removes manual effort and makes it easier for customers to ingest data into the Cisco Observability Platform.
CloudFabrix demonstrated the potential of this collaboration by generating two application modules- Asset Intelligence and Operational Intelligence within days instead of weeks.
This service is now available from Cisco (partners) for customers for hybrid IT environments and custom data sources. You can take a free trial here.
Together, the Cisco Observability Platform and CloudFabrix Data Fabric for Observability serve distinct yet complementary roles in enhancing the overall observability and data management capabilities of an organization.
Cisco Observability Platform (formerly called Full-stack Observability) offers real-time visibility into the health, performance, and security of an organization’s IT infrastructure and applications. It captures and analyzes data from diverse sources, including logs, metrics, and traces, to provide a unified view of the IT stack.
CloudFabrix’s Data Fabric for Observability is a data management and integration service that uses robotic processes to automate data tasks, such as data integration, data ingestion, cleansing, transformation, and enrichment. Automated data management saves time, improves data quality, and streamlines data workflows.
OTEL Data Enrichment and Ingestion for Cisco Observability Platform
Learn more about this collaboration and what’s in it for modern enterprises.
Here’s how the Cisco Observability Platform and CloudFabrix’s Data Fabric for Observability work in tandem:
- Data Collection and Ingestion: CloudFabrix’s Data Fabric for Observability automates the collection and ingestion of data from varied sources, including on-premises infrastructure, cloud platforms, and applications. This ensures hybrid organizations can leverage the Cisco Observability Platform with the most up-to-date and accurate data for real-time insights.
- Data Transformation and Enrichment: CloudFabrix’s Data Fabric transforms and enriches data before it is ingested into the Cisco Observability Platform to improve data quality and simplify analysis. This step includes data cleansing, normalization, and aggregation. This is critical as data teams spend 40% of their time on data cleaning, integration and preparation.
- Data Observability and Insights: Cisco Observability Platform processes the data to provide insights into your IT infrastructure, application performance, and security posture. It uses advanced analytics to identify anomalies, trends, and potential issues proactively.
- Root Cause Analysis and Remediation: By combining data from CloudFabrix’s Data Fabric with its own analyses, the Cisco Observability Platform enables IT teams to quickly identify the root causes of performance issues, security threats, or operational disruptions. This accelerates remediation and reduces expensive downtime.
- Enhanced Data Governance: CloudFabrix’s Data Fabric can help organizations enforce data governance policies, such as data access control, data retention, and data quality standards so that you process data securely, responsibly, and in compliance with regulations.
- Data-Driven Decision Making: A unified view of data from across the organization empowers leaders to make better decisions. Data-driven decisions optimize resource utilization, performance, and risk management.
69% of companies can’t provide a single, comprehensive customer view to their employees, and 80% of organizations suffer from data silos. The Cisco Observability Platform and CloudFabrix’s Data Fabric works together to centralize data management, enhance data quality, and provide comprehensive observability across the IT infrastructure and applications.
Key Components of the “Data Fabric for Observability”
The data fabric is an architectural approach to operations that facilitates the end-to-end integration of various data pipelines and cloud environments through intelligent and automated systems. It unifies and manages data across an enterprise, enabling seamless access, integration, and sharing.
The data fabric is a bot-based architecture and low code service, leveraging 1000+ Bots and pipelines and comprises of several key components:
- Data integration centralizes data from disparate sources into a single, unified view, dissolving data silos.
- Data quality ensures that data is accurate, complete, and consistent by way of data cleansing, validation, and enrichment.
- Data security safeguards data from unauthorized access, use, disclosure, modification, or destruction. Methods include encryption, access controls, and monitoring techniques.
- Data lineage tracks the origin and movement of data throughout its lifecycle. It provides transparency and traceability for data auditing and compliance.
- Data catalog refers to a repository of metadata about data assets. It provides a searchable index of data sources, attributes, and relationships.
- Data governance establishes policies, procedures, and standards for managing data assets. It ensures data quality, consistency, and security across the organization.
Benefits of Implementing a Data Fabric
Adopting a data fabric approach offers several benefits to organizations, including:
- More agility and flexibility: Data fabric enables real-time data access and utilization, facilitates rapid decision-making and helps adapt to changing market conditions.
- Better data quality: Centralized data management and automated data quality processes enhance data accuracy, completeness, and consistency.
- Lower costs: Data fabric eliminates data silos and automates data management, saving costs and boosting resource efficiency.
- Smooth collaboration: Data fabric fosters collaboration across departments and teams by providing a shared, unified view of data.
- Accelerated innovation: Organizations can leverage their data assets to discover innovative insights, develop and tweak products, and improve customer experiences.
Gartner likens data fabric to a “self-driving car” that uses advanced technology to learn about its environment and navigates it without manual intervention. Several organizations have implemented data fabric concepts to address their data challenges. Recently released Cisco’s AI Readiness Index also highlights data challenges and data readiness as one of the major inhibitors.
The Future of Data Fabrics
As large organizations face higher data volumes and complexity, data fabrics will play an increasingly significant role. The evolving capabilities of data fabrics, such as self-service data access, machine learning-powered data insights, and real-time data analysis, will further enhance their value proposition for organizations seeking to harness their data assets effectively.