Best IT Alerting Software for Splunk User Behavior Analytics

Empower teams by routing alerts to the right people for fast collaboration and issue resolution. Deliver the right alerts to the right people reducing time to acknowledge and resolve incidents. Complete ChatOps experience, integration with the tools you already have, incident timelines and reporting for blameless post-incident reviews. Engage people where they work. Mobile-first experiences leverage machine learning to make on-call accessible wherever you are. Splunk On-Call automates incident management, reducing alert fatigue and increasing uptime. Use Splunk On-Call to streamline your on-call schedules and escalation policies. From rotations to overrides, we automate all the essentials. Our software provides contextual alert information, suggestions driven from machine learning, and empowers collaboration to solve problems with speed and efficiency, all while capturing essential remediation data.

Amazon Simple Notification Service (SNS) is a fully managed messaging service for both system-to-system and app-to-person (A2P) communication. It enables you to communicate between systems through publish/subscribe (pub/sub) patterns that enable messaging between decoupled microservice applications or to communicate directly to users via SMS, mobile push and email. The system-to-system pub/sub functionality provides topics for high-throughput, push-based, many-to-many messaging. Using Amazon SNS topics, your publisher systems can fanout messages to a large number of subscriber systems or customer endpoints including Amazon SQS queues, AWS Lambda functions and HTTP/S, for parallel processing. The A2P messaging functionality enables you to send messages to users at scale using either a pub/sub pattern or direct-publish messages using a single API.

Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.