PRODUCT
Selector Analytics
The Evolution of Network Monitoring
Selector uses artificial intelligence, machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%.
The ‘3 Cs’ of Selector’s AIOps Solution: Collect, Correlate, and Collaborate
Selector Analytics uses artificial intelligence and machine learning to conduct three essential functions and provide actionable insights to network, cloud, and application operators:
Collect
Selector Analytics collects any data (including configurations, alerts, metrics, events, and logs), from various heterogeneous data sources. For instance, Selector Analytics may harvest data from router logs, device or network metrics, or device configurations.
Correlate
Once collected, Selector Analytics normalizes, filters, clusters, and correlates metrics, events, and alarms using pre-built workflows to draw actionable insights. Selector Analytics then uses machine learning-based data analytics to compare metrics and events and conduct automated anomaly detection. If an anomaly is discovered, Selector’s AIOps solution issues an automatic alert and uses a ranking system to shortlist factors potentially responsible for the network outage.
Collaborate
IT Ops, DevOps, and SRE teams want instant, concise status reports without writing SQL queries or building new dashboards. Selector Analytics supports Natural Language Queries directly integrated into common messaging platforms such as Slack and Microsoft Teams, providing a conversational chatbot experience. Selector’s AIOps solution infers natural language queries, finds the closest match, and can share query outputs and dashboards with larger workflows such as IT-service management ticketing, alerting, and automation tools.
Selector Analytics Provides Users with Maximum Flexibility
Unlike legacy network monitoring tools, Selector Analytics is containerized and can be installed in a public cloud, on-premise, or private cloud environment. Selector Analytics employs a next-generation, cloud-native architecture that is wholly dockerized and containerized and can reside anywhere. This flexibility benefits service providers and financial institutions who may not want to place sensitive operational data in the public cloud.
Selector Analytics Provides Users with Maximum Flexibility
Unlike legacy network monitoring tools, Selector Analytics is containerized and can be installed in a public cloud, on-premise, or private cloud environment. Selector Analytics employs a next-generation, cloud-native architecture that is wholly dockerized and containerized and can reside anywhere. This flexibility benefits service providers and financial institutions who may not want to place sensitive operational data in the public cloud.
Integration & Data Sources
Selector Analytics ingests data and integrates with a wide range of industry-leading platforms, tools, other data sources. These include:
Integration with Collaboration Platforms
Selector Analytics helps customers monitor and troubleshoot their network, cloud, and application delivery through seamless collaboration on messaging platforms, and search-driven querying with a conversational user experience.
Gain a Competitive Edge With Selector’s Zero-Touch AIOps Network Monitoring Managed Service
From delivering cost savings to slashing MTTR, Selector Analytics can transform the performance of your network — and your business.
Cut MTTR by up to 90% by gaining instant access to actionable root causes.
Reduce OPEX by automating Tier-1 Support and eliminating legacy tools.
Lower anomaly detection and recovery times through the correlation of any data type.
Eliminate the complexity and cost of traditional, single-domain monitoring systems.
See How Selector Analytics Streamlines AIOps Network Monitoring and Reduces Operational Complexity
Industry-leading AIOps platform for operational intelligence