Logz.io announced several new open source-based monitoring solutions to complement its unified SaaS platform for log, metrics and tracing analytics - Smart Tiering, Alerts Correlation and the new Insights based Exceptions to provide engineers with the flexibility and functionality needed to monitor and troubleshoot production issues faster and more cost effectively.
Logz.io Smart Tiering is a new Log Management capability that allows engineers to decrease logging costs by storing data in different ‘tiers’. The three levels to retain data, Real-time Tier, Smart Tier, and Historical Tier, offer the flexibility to define a data management strategy that divides data based on the desired balance between cost, performance and availability.
■ Smart Tiering: Designed to help customers reduce costs by providing the flexibility to divide data across three different availability and performance tiers.
- Real-time Tier for critical production data, with real-time performance and availability for troubleshooting.
- Smart Tier for active and trending data that isn’t accessed as frequently, but needs the same real-time performance. Designed with reduced data replication and a slightly reduced SLA.
- Historical Tier for historical data, with archival to AWS S3 and/or Azure Blob for compliance needs.
■ Application Insights - Exceptions: A newly redesigned Exceptions tab is now available in Kibana’s Discover. Exceptions surfaces relevant issues with code execution picked up from log messages to reduce troubleshooting and debugging time. Exceptions is part of Application Insights which uses machine learning (ML) to automatically uncover the most relevant exceptions and error messages
■ Alert Correlation: The new Alert Correlation feature enhances advanced threat detection in the Logz.io Cloud SIEM, as well as improves alert accuracy in operations use cases. Alert Correlation enables the notification of users when specific sequences of security events are taking place and indicating critical attacks. With the ability to define multi query alerts, engineers can now receive an alert of a brute force attack followed by a malware download by the same actor. This correlation ensures these critical events are not only visible in isolation.
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