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Bringing Order to Chaos: How CloudFabrix Streamlines Work for Technology Professionals

Data fabric unifies insights across domains, cuts through chaos with AI-assisted analytics, and provides agility with automated service assurance.



Technology professionals today face an increasingly complex landscape filled with siloed tools, mountains of noisy data, and constant incidents. CloudFabrix offers a way to cut through the chaos with an integrated platform that connects disparate systems, provides unified insights, and automates routine tasks. 


The Challenges: Tool Sprawl and Alert Overload 

In a presentation at the 53rd IT Press Tour, the CloudFabrix team outlined some stark statistics around the tool sprawl and data overload facing most IT teams:

  • 20+ monitoring and management tools used on average

  • Over 1 million daily alerts were generated 

  • An annual price tag of $1.27 million for management tools

  • Incidents that result in $400K in losses on average


This complex toolchain leaves teams flooded with more data than they can handle, making it extremely difficult to connect insights across domains, identify root causes, and prevent outages. As a result, the mean time to resolution stretches to 7 hours or more for most organizations.


The Need for Unified Observability

Technology leaders need a way to unify data across their disparate monitoring and management systems to gain control of the chaos. As Shailesh Manjrekar, CloudFabrix CMO, explained, “Application dependency mapping is the number one priority for IT leaders to address, otherwise it will cause a cascading, multiplicative problem.”


CloudFabrix provides that unified view with its Data Fabric for Observability. The data fabric integrates siloed data sources, enriches the data with context, and makes it available for monitoring, analytics, and automation. 


As Raju Penmetsa, CloudFabrix CTO, noted, this also enables a shift to new KPIs based on customer experience rather than just infrastructure uptime. By connecting insights from across the stack, the data fabric can help identify potential customer experience issues before they happen.


Leveraging Data Pipelines to Enhance Observability

The key innovation that powers the CloudFabrix data fabric is its flexible data pipelines for intelligent data integration. While many monitoring tools come with some data connectors, most lack robust, enterprise-grade capabilities to automatically integrate with the hundreds of data sources a typical organization relies on.  


The CloudFabrix platform includes a library of over 1,000 pre-built bots — self-contained modules of code — that can connect to, extract, and transform data from virtually any system or database. For example, a pre-built bot can link to Datadog's metrics API and map the schema to compatible data models. Other bots link to AWS CloudWatch logs, Splunk exports, and critical business applications ranging from SAP to Salesforce. 


These bots act as the data collectors at the front end of an automated pipeline. As data streams into the pipeline, additional bots enact any necessary parsing, filtering, aggregations, or enrichment to prepare the data for downstream analysis. Bots can also propagate data to destinations like data lakes, analytics engines, and third-party dashboards.


This bot-powered “no-code” approach removes the burden of manually building custom connectors or coding complex ETL scripts for every new data integration need. With a robust library of reusable bots, CloudFabrix customers can rapidly mix and match to build data pipelines tailored to their unique environment. Updates can be rolled out easily by swapping individual bots rather than re-architecting entire pipelines.  


The data pipelines enable CloudFabrix to capture rich contextual data and map granular relationships between apps, infra, and business KPIs by making data integration seamless and dynamic across domains. Rather than simplistic correlational insights, cross-domain bots help uncover causal interdependencies - making issues easier to diagnose at their true root cause.


With intelligent flexibility “baked in” to its foundation, the data fabric and pipelines become profoundly adaptable platforms. As technology professionals add new tools and data sources, CloudFabrix can ingest the telemetry and quickly integrate it for improved insights and automation. This future-proofed architecture allows organizations to pursue new monitoring capabilities without requiring new engineering investments at each step.


Key Capabilities and Benefits

The CloudFabrix Data Fabric and accompanying solutions deliver several key benefits for technology professionals:

  1. Unified insights: The data fabric breaks down data silos to offer insights connecting infrastructure and apps to business processes and customer experience. This holistic view makes it easier to spot correlations and root causes.

  2. Reduced noise: CloudFabrix uses techniques like parsing, filtering, and aggregations to cut through the flood of alerts to show the signals that matter. This helps technology teams focus on real problems rather than get lost in irrelevant noise.

  3. Automated workflows: Built-in automation, such as auto-remediation and intelligent runbooks, handles repetitive tasks to reduce manual toil. Professionals can spend less time on routine issues and more time on higher-value work. 

  4. AI assistance: CloudFabrix leverages innovations like natural language queries and conversational interfaces to enable IT professionals to get answers and advice through an AI assistant rather than digging through dashboards.

  5. Agility and scalability: With a cloud-based platform built on containers and microservices, CloudFabrix solutions provide flexible delivery, making it easier to quickly provision new capacities and capabilities.  


Helping Industry Heavyweights 

While CloudFabrix may not be a household name, the company counts some of the biggest technology firms among its partners and customers, including:

  • Cisco: CloudFabrix observability modules help connect Cisco data and infrastructure to deliver cross-domain insights.

  • IBM: CloudFabrix augments existing IBM observability solutions to enrich data for clients such as large insurance providers.  

  • Splunk: Joint solutions integrate Splunk dashboards with CloudFabrix automation capabilities.


As Manjrekar summarized, with strong relationships across the ecosystem, rich data fabric capabilities, and innovations in AI assistance, CloudFabrix aims to be “the data fabric for AIOps.”


For technology professionals struggling to find signal amidst an ever-growing sea of noise, CloudFabrix offers a comprehensive platform to help analysts, developers, and engineers regain control and unlock new efficiencies. By providing unified insights, automation, and AI across the stack, CloudFabrix can help technology leaders transform chaos into clarity.

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