Take control of all your Telemetry Data with CloudFabrix Robotic Observability Pipelines

CloudFabrix, the Robotic Data Automation Fabric inventor, announced “Robotic Observability Pipelines” for dynamic Data Ingestion and automation for any data source and destination. The solution acts as 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.

CloudFabrix Robotic Observability Pipelines

Key Features of the Robotic Observability Pipelines: 

  1. Accelerated Data Ingestion:
    CloudFabrix’s Robotic Observability Pipelines automate the collection and ingestion of data(Incidents, MELT – Metrics, Event, Log, Traces, KPIs, Asset Inventory / CMDB, Topology as application dependency maps/service maps, Tickets, and business-specific data) from varied sources, including on-premises infrastructure, cloud platforms, and applications with the help of a 1000+ bots ecosystem. This ensures hybrid organizations can leverage the most up-to-date and accurate data for real-time insights.
  2. Liberate Data and Reduce Costs with Data Routing:
    Liberate data by separating data producers and consumers by routing to multiple locations such as Cisco Observability Platform, CloudFabrix AIOps platform, data lakes, Data Lake House like Dynatrace Grail, Splunk,  log stores, analytics platforms, and composable dashboards.
    With the Data Routing feature, CloudFabrix’s Robotic Observability Pipelines transform and enrich data before it is ingested into any Monitoring/Observability tool 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.
  1. Improve MTTI and MTTR with Data Contextualization and  Enrichment:
    CloudFabrix’s Robotic Observability Pipelines process the data to provide insights into your IT infrastructure by providing Real-time topology discovery and enriching/contextualizing data streams with real-time context using Geo-IP or DNS lookups from InfoBlox, CVE MITRE, and TIP feeds.
  2. Root Cause Analysis and Remediation: 
    By combining data from CloudFabrix’s Robotic Observability Pipelines with their analysis IT teams can quickly identify the root causes of performance issues, security threats, or operational disruptions. This accelerates remediation and reduces expensive downtime.
  1. Democratize with Gen AI, AutoML and Intent-based automation:
    Leverage Macaw GenAI assistant to generate observability pipelines with conversational queries. Macaw GenAI assistant can also generate dynamic dashboards with observability pipelines using Intent-based automation and workflow automation.
  2. Field Extensible and Customizable Bot-based Low Code Architecture:
    The In-place, streaming pipelines and customizable bots help redefine efficiency, ensuring seamless data processing in motion with the power of low-code bots.
  1. Enhanced Data Governance:
    CloudFabrix’s Robotic Observability Pipelines 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.
  2. 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. CloudFabrix’s Robotic Observability Pipelines help centralize data management, enhance data quality, and provide comprehensive observability across the IT infrastructure and applications. 

Key Components of the “CloudFabrix Robotic Observability Pipelines”

CloudFabrix Robotic Observability Pipelines 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 Robotic Observability Pipelines is a low-code, bot-based architecture, leveraging 1000+ Bots and pipelines and comprises 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 CloudFabrix Robotic Observability Pipelines

Adopting Robotic Observability Pipelines offers several benefits to organizations, including:

  • More agility and flexibility: Robotic Observability Pipelines enable real-time data access and utilization, facilitate rapid decision-making, and help adapt to changing market conditions.
  • Better data quality: Centralized data management and automated data quality processes enhance data accuracy, completeness, and consistency.
  • Lower costs: Robotic Observability Pipelines eliminate data silos and automate data management, saving costs and boosting resource efficiency.
  • Smooth collaboration: Robotic Observability Pipelines foster 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.

Analyst’s take

Gartner recently recognized CloudFabrix Robotic Observability pipelines as a trusted vendor with Telemetry pipeline offering in its latest report “Use Telemetry Pipelines to Efficiently Monitor Your Hybrid Environmentsby Analyst Gregg Siegfried.

The Future of Robotic Observability Pipelines

As large organizations face higher data volumes and complexity, Robotic Observability pipelines will play an increasingly significant role. The evolving capabilities of Robotic Observability pipelines, 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.

Shailesh Manjrekar
Shailesh Manjrekar
Shailesh Manjrekar, Chief Marketing Officer is responsible for CloudFabrix's AI and SaaS Product thought leadership, Marketing, and Go To Market strategy for Data Observability and AIOps market. Shailesh Manjrekar is a seasoned IT professional who has over two decades of experience in building and managing emerging global businesses. He brings an established background in providing effective product and solutions marketing, product management, and strategic alliances spanning AI and Deep Learning, FinTech, Lifesciences SaaS solutions. Manjrekar is an avid speaker at AI conferences like NVIDIA GTC and Storage Developer Conference and is also a Forbes Technology Council contributor since 2020, an invitation only organization of leading CxO's and Technology Executives.