Introduction to Selector
Introduction to Selector Software
Selector is an AIOps and event intelligence platform that enables operations teams to quickly detect and remediate incidents before customer-facing impact. It is a unified monitoring, observability, and event-intelligent AI for IT Operations (AIOps) platform. It provides a single pane of glass view and key functionality that was historically addressed by multiple tools. Selector’s innovative platform enables operations leaders to address tool sprawl, cut costs, enhance operational efficiency, and focus efforts on improving the customer experience.
Once network and infrastructure data are collected, Selector applies AI and ML to drive powerful features such as event correlation, root-cause analysis, and smart alerting. With Selector, operators gain comprehensive visibility across their network environments and dramatically lower the operational burden in detecting and remediating problems.
Selector supports purpose-built capabilities to enable operations teams to better detect, identify, and resolve operational issues.
A declarative Extract-Transform-Load (ETL) process enables rapid integration with various data sources spanning network, infrastructure, application, and configuration data. This ability to ingest data from any push-or-pull data source (SNMP, Netflow, GRPC, etc.), through any type of transport, helps ensure comprehensive collection of telemetry from WAN devices, wireless devices, controllers, and applications. The data is further normalized to help perform correlations accordingly.
ML-driven autocorrelation and related root-cause analysis provide teams with consolidated, actionable alerts within their preferred collaboration platform. Customers can further automate various operations activities such as ticket creation, maintenance, and automated incident remediation.
The Selector platform has robust notification and ticketing capabilities, with connectors for ServiceNow, Jira, ServiceDesk Plus and many others. Selector is further able to integrate with proprietary platforms as well. Additionally, some customers leverage Selector directly as their ITSM.
A novel Natural Language Model (NLM) using conversational AI helps eliminate the inefficiencies and costs associated with the patchwork of disparate operational tools found in the modern enterprise. GenAI-driven natural language querying allows everyone to interrogate the IT environment, enabling faster identification and resolution of issues.
Selector’s Digital Twin feature dynamically models customer networks and infrastructures. The resulting model enables customers to explore hypothetical situations to predict failures, optimize resource allocation, and inform strategic planning.
The Selector platform is Kubernetes-native, making it easy to deploy on-premises or in a customer’s cloud. Selector also provides a SaaS service, making it easier for the customers to use.