Operations | Monitoring | ITSM | DevOps | Cloud

The observability market has moved beyond manual threshold-setting. Modern platforms use statistical algorithms, machine learning, and causal AI to detect anomalies automatically. Some work immediately after deployment. Others train on your data for better accuracy. Each approach has technical trade-offs worth understanding. This guide compares how nine monitoring solutions handle automated anomaly detection and root cause analysis.

Icinga Director is a powerful tool that greatly simplifies the configuration, management, and deployment of monitoring objects in Icinga. It provides a user-friendly interface and automation features that make complex setups easier to maintain. Occasionally, though, you may unintentionally introduce a cyclic inheritance while configuring templates. A typical case occurs when a template imports another template that eventually imports the original one again.

Back in September, we unveiled Sumo Logic Dojo AI, our agentic AI platform built to power intelligent security operations and incident response. With that launch, we introduced Mobot, our conversational interface, as well as our first agents designed to help automate routine tasks, streamline investigations, and give security teams the freedom and ability to focus on analyzing the highest value security issues facing their organization. Today, we’re excited to share the latest additions to Dojo AI.