Logz.io, provider of Open 360, the industry’s most easy-to-use, cost-efficient observability platform, announced that it has added AI and ML-powered Anomaly Detection capability to App 360, equipping its application observability solution with automated capabilities that let users respond to real-time performance alerts based on models built from historical telemetry data, reducing the manual tasks that slow down and complicate remediation.

While Logz.io has been offering ML and AI-based Anomaly Detection across the Open 360™ platform since February of 2023, Anomaly Detection for App 360 extends this capability to the new App 360 solution addressing the specific requirements of today’s application observability users.

With Anomaly Detection for App 360, Open 360 users can now enlist targeted automation to do more of the work for them — automatically monitoring and alerting any issues occurring within the specific services and microservices they identify as being most critical, which are often those that immediately impact business or SLO-related requirements.

Also Read: Conceal Unveils Integration with SentinelOne to Fortify Web Security

Anomaly Detection for App 360 utilizes powerful automation to make it simple for users to set up and begin monitoring and alerting against their critical services. Whether users prefer a list-based approach using Logz.io Service Overview or topology-based approach using Logz.io Service Map, the new capability also supports these varied use cases oriented to different audiences, including software engineers, SREs, platforming engineering and beyond. Anomaly Detection for App 360 takes users beyond traditional monitoring of critical services by locating and scoring the severity of unusual activity for a more proactive response.

SOURCE: PRWeb