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Alerting

Introducing Alerts History and Scheduled Maintenance - Enhancing Alert Management in SigNoz

Today, we’re excited to introduce two key features that will help users with alerts in SigNoz - Alerts History and Scheduled Maintenance. These features are designed to help teams gain deeper insights into their alerts, better manage recurring issues, and streamline alert silencing during planned downtimes. Let’s dig in deeper.

Insights into SigNoz's Latest Features - A Conversation with Ankit, CTO of SigNoz

We sat down with Ankit, CTO and co-founder at SigNoz to get his insights on the product’s developments and what's on the horizon. He shared valuable perspectives on how SigNoz is enhancing the user experience, focusing on customer feedback, and building new features.

Introducing Alerts History: Debug application more efficiently by examining the history of alerts

Whenever an alert is triggered, developers want to examine its history. With Alerts history, developers will be able to see a comprehensive view of past alerts, with key contributors(which hosts, etc.) to it and make informed decisions about how to resolve issues more efficiently.

Enhancing Postmortem Reports with AI

Postmortem reports are essential in incident management, helping teams learn from past mistakes and prevent future issues. Traditionally, creating these reports was a slow, tedious process, requiring teams to gather data from multiple sources and piece together what happened. But with AI and Large Language Models (LLMs), this process can become faster, smarter, and much less of a headache.

Creating In-Stream Alerts for Telemetry Data

Alerts that you receive from your observability tool are based on conditions that existed seconds to minutes in the past, because the alert is only triggered after the data has been indexed within the tool. This means that your ability to take timely action in response to the condition is significantly limited, and often your window of opportunity to react is past by the time you receive the alert.

Introducing Anomaly Detection: Smarter Alerts for Dynamic Metrics

Anomaly Detection will enable users to create smarter alerts based on dynamic metrics, moving beyond traditional fixed-threshold alerts. By detecting deviations from expected patterns, Anomaly Detection will help you stay informed about critical issues without getting overwhelmed by irrelevant alerts.

Introducing Anomaly Detection - Smarter Alerts for Dynamic Metrics

Today, we’re excited to unveil the Anomaly Detection feature. It will enable users to create smarter alerts based on dynamic metrics, moving beyond traditional fixed-threshold alerts. It will soon be available to all our users and is currently undergoing beta testing with select users. By detecting deviations from expected patterns, Anomaly Detection will help you stay informed about critical issues without getting overwhelmed by irrelevant alerts. Let’s dig in deeper.