Skip to main content

CloudFabrix Announces Observability Data Modernization Service

CloudFabrix announced the availability of its Observability Data Modernization Service for its RDA platform.

This service transforms, enriches, and maps Non-OTel signals to Otel signals which can be used by CloudFabix AIOPs as well as any other OTel-compliant backend platforms. This enables several operational domains' MELT signals to be ingested with full-stack service maps, enrichment, and Telemetry. CloudFabrix AIOps and other 3rd party OTel backends can now query, contextualize, correlate, and use AI/ML for RCA and remediation.

As they say "OpenTelemetry is eating the world" and has become the gold standard for Observability, in this "Experience Economy". OpenTelemetry (OTel) is a set of APIs, SDKs, and tools to instrument, generate, collect, and export telemetry data (signals). It is an Open Source project under Cloud Native Computing Framework (CNCF) and is the second most active project after Kubernetes, with growing adoption. OTel furthers CloudFabrix's vision around Robotic Data Automation Fabric, where Data quality, Data automation, and Data correlation are paramount for visibility, insights, and action.

However, there are still applications and libraries which do not use OTel standards and use vendor-specific agents for data collection. This will not change overnight. CloudFabrix's Open Telemetry support takes this into consideration and supports workflows that present the customer with a Roadmap to OTEL adoption.

■ ODM Service for any OTel backends - Applications and libraries not supporting OTEL can leverage RDAF Bots which transform and ingest OTel-compliant signals into an OTel collector. These signals can then be exported to any OTEL backends.

- Topology information needed for service maps is ingested using metadata, which can be leveraged by any OTel backend for visibility, insights, and actions for these non-OTel deployments.

■ ODM service for CloudFabrix Data-centric AIOps backend – Standards-based OpenTelemetry collector ingests cross-domain MELT signals into Robotic Data Automation Fabric at the Edge, across Hybrid and Multi-cloud deployments, using generic exporters. Data-centric AIOps platform then runs Composable pipelines, in-place search, services, and Dashboards.

- OTel attributes are leveraged by RDAF to build cross-domain context with Application Dependency and Impact maps.

- Out of box services - AIOps, FinOps, Log Intelligence and custom-built services use this context to provide insights and actions
ODM Service will also support both of these workflows simultaneously.

With this support, end customers can now adopt a roadmap for OTel adoption. Existing applications with instrumentation can now ingest non-OTel signals, into OTel backends as well as for Cloudfabrix AIOps. Strategic partners benefit from this roadmap, as the platform can support any of the OTel backends.

"Open Telemetry support furthers our vision of Data-centric AIOps, converging operational domains - Observability, Security and Networking around data. Our Robotic Data Automation Fabric complements OTel and enables eco-system partner backends and customers on a path to OTel adoption," said Bhaskar Krishnamsetty, Chief Product Officer at CloudFabrix.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

CloudFabrix Announces Observability Data Modernization Service

CloudFabrix announced the availability of its Observability Data Modernization Service for its RDA platform.

This service transforms, enriches, and maps Non-OTel signals to Otel signals which can be used by CloudFabix AIOPs as well as any other OTel-compliant backend platforms. This enables several operational domains' MELT signals to be ingested with full-stack service maps, enrichment, and Telemetry. CloudFabrix AIOps and other 3rd party OTel backends can now query, contextualize, correlate, and use AI/ML for RCA and remediation.

As they say "OpenTelemetry is eating the world" and has become the gold standard for Observability, in this "Experience Economy". OpenTelemetry (OTel) is a set of APIs, SDKs, and tools to instrument, generate, collect, and export telemetry data (signals). It is an Open Source project under Cloud Native Computing Framework (CNCF) and is the second most active project after Kubernetes, with growing adoption. OTel furthers CloudFabrix's vision around Robotic Data Automation Fabric, where Data quality, Data automation, and Data correlation are paramount for visibility, insights, and action.

However, there are still applications and libraries which do not use OTel standards and use vendor-specific agents for data collection. This will not change overnight. CloudFabrix's Open Telemetry support takes this into consideration and supports workflows that present the customer with a Roadmap to OTEL adoption.

■ ODM Service for any OTel backends - Applications and libraries not supporting OTEL can leverage RDAF Bots which transform and ingest OTel-compliant signals into an OTel collector. These signals can then be exported to any OTEL backends.

- Topology information needed for service maps is ingested using metadata, which can be leveraged by any OTel backend for visibility, insights, and actions for these non-OTel deployments.

■ ODM service for CloudFabrix Data-centric AIOps backend – Standards-based OpenTelemetry collector ingests cross-domain MELT signals into Robotic Data Automation Fabric at the Edge, across Hybrid and Multi-cloud deployments, using generic exporters. Data-centric AIOps platform then runs Composable pipelines, in-place search, services, and Dashboards.

- OTel attributes are leveraged by RDAF to build cross-domain context with Application Dependency and Impact maps.

- Out of box services - AIOps, FinOps, Log Intelligence and custom-built services use this context to provide insights and actions
ODM Service will also support both of these workflows simultaneously.

With this support, end customers can now adopt a roadmap for OTel adoption. Existing applications with instrumentation can now ingest non-OTel signals, into OTel backends as well as for Cloudfabrix AIOps. Strategic partners benefit from this roadmap, as the platform can support any of the OTel backends.

"Open Telemetry support furthers our vision of Data-centric AIOps, converging operational domains - Observability, Security and Networking around data. Our Robotic Data Automation Fabric complements OTel and enables eco-system partner backends and customers on a path to OTel adoption," said Bhaskar Krishnamsetty, Chief Product Officer at CloudFabrix.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...