1 min read
Monitoring AI Applications with Azure Monitor and Application Insights
Configure alerts for latency spikes, error rate increases, and token usage anomalies to catch issues before they impact users.
Application Insights
8 articles
1 min read
AI Observability with Azure Monitor and Application Insights
Monitor these essential AI metrics: latency (p50, p95, p99), token consumption per request, error rates by model and endpoint, cache hit rates for…
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Observability and Monitoring: Practices That Worked in 2022
Observability in 2022 moved beyond simple monitoring to true understanding of system behavior. OpenTelemetry became the standard for instrumentation. SLOs…
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Azure Monitor Application Insights: Deep Observability for Applications
Application Insights provides the deep observability needed for modern applications. Combined with Azure Monitor's broader capabilities, it enables…
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Publishing Custom Metrics to Azure Monitor
There are two ways to publish custom metrics: Application Insights SDK : For application level metrics Azure Monitor REST API : For any metric source Use…
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Deep Dive into Application Insights
Application Insights is the monitoring tool that pays you back in proportion to how much you invest in it. Out of the box you get…
1 min read
Application Insights: Full-Stack Application Monitoring
Application Insights is essential for production observability.
1 min read
Application Performance Monitoring with Azure Application Insights
First thing I do on any new Azure-hosted application I'm asked to look at: open Application Insights and see what's actually happening. Half the time, "the…