Selector launches AI multi-cloud observability for hybrid

Selector has launched an AI-powered multi-cloud observability product, extending its platform across hybrid environments.

The product is designed to bring cloud, network and infrastructure telemetry into a single intelligence layer, allowing operations teams to trace incidents across on-premise and cloud systems. It aims to address a visibility gap that often leaves teams investigating issues in separate monitoring tools.

Hybrid infrastructure has become a standard operating model for many large organisations, but monitoring often remains divided by domain. That can make it harder for IT and network teams to identify where a problem began and how widely it has spread.

The system correlates signals across what Selector describes as the full hybrid path, covering public cloud, private cloud and on-premise data centre environments. It uses a data-ingestion model that harmonises telemetry from those areas while retaining context on services, assets, dependencies and network paths.

The launch adds several functions to Selector's existing observability platform, including unified multi-cloud data ingestion, visibility into cloud usage and capacity, awareness of cloud infrastructure and configuration changes, and visualisation of end-to-end paths between on-premise and cloud networks.

It also adds correlated alerts and root-cause analysis across network and cloud telemetry, alongside checks for reachability, latency and connectivity. Customers can use the system without replacing existing monitoring tools because it is built around a vendor-agnostic data pipeline.

Hybrid challenge

The company is targeting a problem that has grown as businesses spread workloads across multiple cloud providers while maintaining private infrastructure and legacy data centres. In these environments, changes to routing, configuration or application dependencies can trigger incidents that are difficult to diagnose quickly when data is fragmented across teams and tools.

According to Selector, traditional monitoring architectures were not built to correlate information across the full route between network and cloud infrastructure. That leads to longer outages and a heavier operational burden for enterprises managing increasingly complex systems.

The product is available immediately across major cloud platforms. Existing customers can add the new functions to extend visibility into multi-cloud and hybrid environments while keeping current workflows in place.

Selector positions the launch as an expansion of its observability platform rather than a separate product line. The company focuses on network observability and says its broader platform combines data analysis, automation and AI models to help operations teams detect and diagnose issues.

Company view

Nitin Kumar outlined the rationale for the launch.

"Modern infrastructure is hybrid by default, but most operations workflows remain fragmented," said Nitin Kumar, Chief Technology Officer, Selector. "Selector's solution brings cloud into the same operational model as network observability, giving teams one correlated view across the hybrid path, so they can see the full context, reduce noise, and get to the true root cause faster."

Selector's customer base includes telecommunications providers, cloud service providers and large enterprises. Its investors include Ansa Capital, Atlantic Bridge Ventures, AT&T Ventures, AVP, Bell Ventures, Comcast Ventures, Hyperlink Ventures, Two Bear Capital, Sinewave Ventures, and Singtel Innov8.