Ideas, announcements, and transmissions from our team
🤖 Meet OnCall AI, our observability copilot that makes troubleshooting easy. Read announcement.
Ideas, announcements, and transmissions from our team
We’re thrilled to announce OnCall AI – our new observability copilot. Learn how natural language recommendations can streamline monitoring and troubleshooting.
AI anomaly detection can help you identify unknown unknowns and save time creating alerts. This article explains how you can use AI/ML to supplement your monitoring efforts.
Detect every issue, trigger alerts in real time, and simplify your troubleshooting processes.
Edge Delta’s Patterns view eliminates the need to manually sift through your log data. By condensing repetitive loglines into groups, no irregularities go unnoticed.
Machine Learning is becoming an invaluable resource for DevOps, SRE, and Security teams. Here are three recent examples where ML enabled better observability.
Learn how a services provider that supports thousands of customers worldwide spotted a brute force attack in real-time.
Breaking down how Edge Delta is detecting exploitation attempts, like Log4Shell, within seconds and with zero pre-configuration from DevOps or Security engineers.
A real-world example, demonstrating how Edge Delta’s Anomaly Detection can spot issues in a Kubernetes environment and enable root-cause analysis.
At first glance, seeing the Data Optimization that occurs in Edge Delta seems like a pretty obvious value proposition and a product in and of itself.
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