en.Wedoany.com Reported - Selector, a US-based provider of AI-driven network observability solutions, announced on May 19 in Santa Clara, California, the official extension of its AI-driven observability capabilities to multi-cloud environments with the launch of a new AI-powered multi-cloud observability solution. This solution unifies rich telemetry data from public clouds, private clouds, networks, and on-premises infrastructure into a shared intelligence layer, effectively bridging cross-domain correlation for operations teams within complex hybrid IT architectures, aiming to rapidly pinpoint root causes of failures and reconstruct the full scope of events.
As enterprises migrate workloads to the cloud at scale, hybrid environments and multi-cloud strategies have become the standard operating model. However, traditional monitoring architectures were never designed from the outset to connect the complete "hybrid path" from network to cloud, resulting in network teams and cloud teams operating in silos. The direct consequence of this disconnect is that when system outages or performance degradation occur, troubleshooting relies on disparate, domain-specific tools, significantly increasing the difficulty of finding the root cause, prolonging recovery times, and incurring high operational costs. Selector CTO Nitin Kumar commented on this: "Modern infrastructure is hybrid by default, but most operational workflows remain fragmented. Our solution brings the cloud into the same operational model as network observability, enabling teams to gain a unified, correlated view across the hybrid path, thereby achieving full context, reducing alert noise, and finding the true root cause faster."
The solution's differentiated advantage is rooted in its powerful AI and Machine Learning (ML) engine. Selector holds a patented technology that harmonizes telemetry data from different domains right from the point of data collection. Building upon this harmonized data, its AI and ML engine can correlate disparate signals across domains, identify "what changed," accurately determine "where the failure started," and clearly explain "the extent of the impact."
The new feature set launched by Selector includes several core capabilities: unified multi-cloud data ingestion; real-time detection of configuration and infrastructure changes in the cloud to prevent issues like route misconfigurations from escalating into major incidents; deep insights into cloud resource utilization and connectivity paths; end-to-end path visualization to proactively verify reachability, latency, and connectivity between on-premises and cloud environments; and cross-domain correlated alerting and root cause analysis.
Selector's AI and ML technology stack is structured into four layers: Data Ingestion, Data Enrichment, Network Intelligence, and Agent TKI. The platform excels at handling the massive and noisy data typical of network operations, utilizing self-supervised and unsupervised learning to establish baselines and detect anomalies, currently capable of ingesting over 300 telemetry data sources. Combined with the natural language interactive AI assistant, Selector Copilot, operations personnel can directly perform root cause analysis and receive remediation recommendations using natural language, without needing to switch back and forth between different expert tools.
Unlike approaches that involve "patching up" existing network or cloud monitoring solutions, Selector has built a vendor-independent data pipeline, allowing enterprises to integrate cloud and on-premises signals without being forced to replace any existing tools. The solution is now immediately available through major cloud platforms, enabling existing customers to extend visibility to multi-cloud and hybrid environments without disrupting current workflows.
Founded in 2019 by former Juniper Networks executives Kannan Kothandaraman and Nitin Kumar, Selector has been dedicated to bridging the gap between network and cloud operations. The company has experienced strong growth over the past year, with a customer base that includes numerous Fortune 20 manufacturing and healthcare enterprises, and approximately 80% of its customers come from the Fortune 1000. Recently, the company also successfully completed a $32 million funding round to accelerate product innovation and international market expansion.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
