Enhanced Observability and Correlation for Hybrid Networks with AIOps from Selector AI

Selector AI, presented at Cloud Field Day, showing an AIOps solution providing comprehensive visibility and intelligence into the complex networks, cloud infrastructure, and applications of large enterprises.  Unlike existing monitoring tools focusing on single data sources (metrics, logs, events), Selector ingests diverse data types from various sources including existing databases and monitoring tools,  config events, alerts, topology information, and even CSV files. This unified approach allows for advanced event correlation, drastically reducing alert volume and the associated workload on operations teams.

Selector’s natural language interface is a key differentiator, enabling users to query the platform using plain English rather than complex SQL queries.  This, coupled with a digital twin capability for operational insights and “what-if” analysis, provides a significantly more user-friendly and accessible experience. The platform integrates with various communication channels like Slack and Microsoft Teams and ITSM tools, enabling proactive alerting and reactive querying across different teams and workflows, breaking down the typical siloed approach of NOC centres.

Selector’s deployment model offers flexibility, supporting public and private cloud environments, on-premise installations, and even integration directly into existing Google Cloud or AWS instances.  Importantly, their pricing model is not tied to data volume or user count, instead focusing on a predictable cost structure based on monitored devices and use cases. This allows for more straightforward budgeting and encourages the ingestion of larger datasets, which in turn improves the accuracy and effectiveness of Selector’s insights.  While Selector integrates with existing tools, its ultimate aim is to provide a single source of truth, eventually replacing the need for multiple, disparate monitoring systems as customers realize its efficiency and comprehensive capabilities.