CloudFabrix announced the availability of its "Macaw", Generative AI assistant and Edge enhancements for Telcos, MSP's and Enterprises.
Operational domains are converging around data and operational personas are having a hard time deriving actionable insights from this data deluge. Observability and AIOps require asking ad-hoc and forward-looking questions about your operational data and connecting the business and IT context.
Macaw and RDAF Are a Perfect Match
The "Macaw" Generative AI Assistant leverages natural language Conversational queries and uniquely identifies the prompt context leveraging the Low code Robotic Data Automation Fabric (RDAF) platform. It then uses Azure's OpenAI LLM (large language model) service and CloudFabrix's LLM, for semantic search on local knowledge corpus to glean insights and investigate data, compose and explain pipelines, and compose dashboards and service tickets. "Macaw" ensures privacy and governance over local data and data transfer between LLMs with user-defined policies. "Macaw" breaks down operational silos around data and democratizes Observability and AIOps. Initially, Macaw will be used for upskilling and reskilling of operational personas and eventually for AIOps insights.
RDAF Edge
With 5G and Edge use cases proliferating, this RDAF platform release also includes RDAF Edge, packaged in a single VM to run on edge endpoints. RDAF Edge ingests actionable data with real-time topology enrichment, to a central data platform or data lake. RDA Edge also enables Observability Data Modernization Service where Non-OTel data is transformed into OTel data for ingestion into any OpenTelemetry-based Observability backend cloud.
Composable Dashboards for Telco
Telcos need the ability to ingest multiple data types - syslogs, SNMP traps, gNMI, Bulkstats, OpenTelemetry across domains - Campus, Datacenter, Cloud, Mobility / 5G, Optical, etc. across devices, controllers, Physical(PNF's), virtual(VNF's) and cloud-native (CNF's) network functions. Telco Service Assurance needs a single pane of glass to visualize aggregated data across these disparate sources with persona-based composable dashboards.
Field Customizable and Extensible Bot Based Architecture
RDAF's Bot-based streaming architecture builds on top of microservices and event-driven Function-as-a-service (FaaS) with the added advantage of pre-built code for composability, field customization, and extensibility. This lends itself very well to multiple data-centric use cases.
"This is a very transformative release, converging Generative AI for efficiency and RDAF low code platform for accelerated development," said Shailesh Manjrekar, Vice President of AI and SaaS Marketing. "Generative AI is transforming the industry, but it is important to integrate it into the core product, understand the prompt context, and train on private data, which is uniquely done by CloudFabrix's Macaw. This is going to fuel innovation for operational personas," he added.
The Latest
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...
The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...
Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...
If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...