Selector

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Selector is an advanced AIOps platform designed to provide real-time, actionable insights for managing complex network and application infrastructures. By integrating artificial intelligence and machine learning, Selector enables operations teams to proactively detect and resolve issues, reducing downtime and improving overall system efficiency. The platform consolidates data from diverse sources, offering a unified view that enhances collaboration and streamlines troubleshooting processes. Key Features and Functionality: - Correlation & Root Cause Analysis: Automatically correlates events across all layers to pinpoint the root cause in seconds, powered by Selector’s patented correlation engine. - Digital Twin: Visualizes a continuously updated model of the entire environment, including infrastructure, network, cloud, and services, enabling real-time dependency mapping and impact analysis. - Network Language Model & Copilot: Provides instant, plain-language answers and summaries through the industry’s first network-specific language model, facilitating faster incident investigation and resolution. - Full-Stack Observability: Delivers unified visibility across network, infrastructure, and application layers, ensuring comprehensive monitoring and analysis. - AI-Native Architecture: Employs a purpose-built machine learning engine that detects anomalies, enriches alerts, and automates correlation without the need for manual tuning. Primary Value and User Solutions: Selector addresses the challenges of managing complex, multi-domain network and application infrastructures by providing a unified platform that enhances operational efficiency. It reduces alert fatigue through intelligent correlation, accelerates mean time to resolution with automated root cause analysis, and improves system availability by proactively identifying and mitigating potential issues. By consolidating monitoring tools and integrating AI-driven insights, Selector empowers operations teams to maintain optimal performance and reliability across their digital environments.

Infrastructure Observability

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Selector's Infrastructure Observability solution offers a unified platform for monitoring and analyzing on-premises and cloud infrastructures, including physical and virtual machines, applications, and containers. By collecting and visualizing telemetry data from diverse systems, it provides comprehensive insights into service performance, enabling IT teams to proactively detect issues, accelerate troubleshooting, and reduce mean time to resolution (MTTR).

AIOps

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Selector's AIOps platform is an advanced solution designed to revolutionize IT operations by integrating artificial intelligence and machine learning. It automates anomaly detection, root cause analysis, and incident remediation, enabling IT teams to proactively manage and optimize their environments. By unifying observability and AIOps into a single, powerful platform, Selector empowers organizations to reduce downtime, minimize alert fatigue, and enhance overall operational efficiency.

Network Observability

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Selector's Network Observability solution is a scalable, vendor-agnostic platform designed to streamline network operations by collecting and analyzing performance data across diverse infrastructures. It supports various protocols, including SNMP, gRPC/gNMI, Netflow, BGP, and Syslog, enabling comprehensive monitoring of devices such as firewalls, routers, switches, wireless devices, load balancers, and SD-WAN components. The platform features device autodiscovery, customizable collection profiles, and an integrated Configuration Management Database (CMDB) to simplify device management. Automated alerting, powered by dynamic thresholding, reduces manual rule management and provides context-rich notifications, allowing responders to focus on critical issues. Advanced analytics and conversational interrogation tools facilitate rapid incident investigation, while machine learning-driven forecasting helps identify and address capacity trends proactively. Integrated ChatOps capabilities enhance coordination during incident response.