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AIOps & Data Automation for Hybrid Clouds
AIOps powered by
Data Observability Pipelines
Key Digital Initiatives of Modern CxO’s
Distributed Data Fabric - Edge to Cloud
How to Build a Business Case for AIOps in your Organization?
AIOps Operating Model & Its Economic Benefits
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Turbo Charge your Hybrid Clouds
as a Service
Reimagine your AIOps with RDAF
Automated Ingestion, Enrichment, Correlation and Remediation
as a Service
Take back control of your Business and IT logs
Aggregate, Transform, Enrich, Correlate and Route
as a Service
Cost optimization insights across Edge Hybrid & Multi Cloud
Real time 360 Asset Insights. Lifecycle Analytics & Risk Management
Map non-OTel signals to OTel signals for full stack observability
This service transforms, enriches, and maps Non-OTel signals to OTel signals
Maximize AIOps as a Service Insights for Multiple Stakeholders
Self service platform delivers real-time insights and in-place analytics
- Glean value and insights using full stack observability dashoards
- Democratize AI and data for different operational personas
- Predictive insights and anomaly detection for millions of business & IT metrics
Composable Dashboards & Workflows
Anatomy of a typical pipeline
Trending News & Insights
Data-Centric AIOps: The Next Frontier With Observability Pipelines
Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. "Data-centric AI is the discipline of systematically engineering data to build an AI system."
What the growth of AIops solutions means for the enterprise
Inspired to help enterprises ease their adoption of a data-first, AI-first and automate-everywhere strategy, Cloudfabrix today announced the availability of its new AIops operating model...
The autonomous enterprise is near, but there are still some missing pieces
Enter an emerging approach, robotic data automation (RDA), which promises to establish the intelligent data supply chain needed for well-functioning AI...
Data quality can make or break efforts to bring artificial intelligence to IT operations
Artificial intelligence for IT operations, or AIOps, could help IT run in a more unattended fashion. But the necessary data may not be ready to sustain it...
How Cloudfabrix uses robotic data automation fabric to unify observability and AIops
AIops needs data to function, but challenges along the AIops data pipeline mean that AIops doesn’t often produce the right results...
Market Trends And Predictions For 2022
1. The Data Economy 2. No-Code/Low-Code Platforms For Citizen Developers 3. Cybersecurity And The Rise Of 5G, IoT And Edge AI 4. Rise Of Observability, AIOps And Hyperautomation 5. Data Fabric 6. Conversational AI & Explainable AI...
Robotic Data Automation Fabric & AIOps Conference
Data Value Gap - Data Observability and Data Fabric - Missing piece of AI / AIOps. Embark on your Autonomous Enterprise Journey. Unifying Observability, AIOps, Hyper Automation with RDAF. Evolution of AIOps - Log Intelligence and more...
Shailesh Manjrekar, Forbes Councils Member
Shailesh Manjrekar is a business strategist, responsible for AI strategy and strategic alliances, for key vertical markets such as Artificial Intelligence (AI) and Machine Learning (ML), genomics, finance & high-performance computing
CloudFabrix featured in Forrester Q2'2022
CloudFabrix featured in Forrester Q2'2022 NowTech report for its wholly owned, single codebase and unified UI functionality and customer wins across Financial, Healthcare and MSP's/Telcom verticals
CloudFabrix interviewed for Forrester's NowTech Data Overview and AIOps Reference architecture report
More and more people are talking about business outcomes, but that can’t be fully realized until we have more pervasive digital experience capabilities. The vendor support for collecting and generating this type of sensory data has not yet arrived in AIOps tools, according to the data collected.
Reimagine Your AIOps for Hybrid Clouds
CloudFabrix Commitment to Security & Privacy
Gartner Peer Insights Review
CloudFabrix Delivers Real-Time Network Status, Performance & Application Discovery
CloudFabrix helped me identify infrastructure for performance and asset management reasons, 3 to 5 years out. When I needed to refresh part of the infrastructure, CloudFabrix showed me the cost in terms of capital and operational expenditures. I could just plug in a number, targeting 500 assets per year and CloudFabrix would provide all the relevant data. It is amazing!
Sr. Principal IT ConsultantLeading Managed Healthcare
How CloudFabrix is helping Customers & Partners
As application landscape is becoming increasingly complex with multi-cloud and hybrid environments, the enterprise maturity model needs to evolve from chaotic to reactive to proactive and predictive levels. Data is at the heart of this transition and Robotic Data Automation Fabric is paramount for this transformation. Cisco along with its portfolio of Appdynamics, Thousand Eyes and Intersight and along with top tier partners like CloudFabrix is well positioned to meet these challenges.
- Gregg OstrowskiExecutive CTO | Cisco AppDynamics
IT is no longer a supporting function; IT is at the center stage of the digital ecosystem and is increasingly driving business value. The client's solution stack is becoming extremely complex with On-Prem, Hybrid, IaaS, PaaS and SaaS deployment models and AIOps is paramount to move to an Intelligent AI driven IT solution. IBM has comprehensive AIOps framework to discover, observe, analyze, prescribe using an open technology stack. We boast a wide ecosystem of partner solution including CloudFabrix and remediation and visualization solutions using IBM Technology such as Instana and Turbonomics.
- Meenakshi SrinivasanPartner, Global DevSecOps Practice at IBM Consulting
As our customers are going through their Digital transformation, several of the applications are getting redesigned to be cloud native with IaaS, PaaS, serverless as their hybrid underlying platforms. They are thus losing the visibility they had with their monolithic static application stacks, not to mention the deluge of data. This is driving the need for AIOps and why we have decided to partner with CloudFabrix. Additionally building trust in AIOps boils down to defining KPI's and measuring the success against these KPI's whether they be improving MTTR (Mean Time to Resolution), Incident management, improving productivity and this begins with the data quality at hand
- Girish ChandangoudarVice President, Happiest Minds
CloudFabrix will help to tell me where I have to refresh the infrastructure for performance and asset management reasons, three to five years out. And if I need to refresh part of the infrastructure, CloudFabrix showed me the cost in terms of capital and operational expenditures. I could just plug in a number, targeting 500 assets per year and CloudFabrix would provide all the relevant data. It is amazing!
- Sr. Director,NetOps, Healthcare
CloudFabrix helps us to identify incident outliers, to better understand if it’s a repeated offense. We can review incidents over the same day, the last week, the last six months, or twelve months, or whatever timeframe is a priority, and see what’s been repeated and what’s not. We can also see what the root cause analysis for the incidents were and map these to changes made and code revisions across the infrastructure.
- IT Director,Command Center, Financial
When I was pursuing my use cases for network and data center planning, I already knew that CloudFabrix could serve more of our stakeholders. When we introduced it to engineering and operations, they found more and more value, for instance in real-time incident and problem management, where CloudFabrix does a lot of magic in the background to put incidents in context. We’re increasingly hearing, ‘I don’t need to dedicate my people to a waste of manual effort. This tool can do it!
- Sr. Director,Major Incident Management, Insurance
cfxCloud delivers strong value in the assimilation of preexisting monitoring and other toolset investments, so insights can be visualized more cohesively and more dynamically. Using cfxCloud, we exceeded what their vendors could do significantly—integrate both event and metric data and reduce the lag from two to three minutes to less than three seconds.
- Sr. Enterprise Architect,Infrastructure Services, Telecom & Networking
Above all, what we liked about cfxCloud was the fact that it was outcomes-driven. Rather than just looking proactively at different data, which was itself of value, with cfxCloud we were able to take that up a level and relate what was happening to business outcomes and business objectives. That was good for our business because most CIOs we sell to are focused on business outcomes.