Use Cases
Including dozens of AWS and Azure services, web, database, network, containers, orchestrations like Docker and Kubernetes, and more.
Quickly pinpoint the root cause of performance issues across the stack, down to a poor-performing line of code
Define charts, alert, and monitor side by side with out-of-the-box metrics
Dev Edition includes five traces per minute, 100 metrics, three hosts, and six containers
Reduce mean time to resolution (MTTR) by quickly jumping from a trace or host view into the relevant logs to accelerate troubleshooting
Achieve ultimate visibility and enhanced troubleshooting with synthetic and real user monitoring
Integrations
Resources
Why Monitoring Azure App Service Is Critical Application monitoring is important for measuring the speed,...
RUM tracks outside of the direct control of the web app, and includes monitoring “client-side”...
Let’s start with a list comprehension example. We have a list of daily temperatures in...
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Performance Like throughput, performance counters will vary between different databases and should be reported in...
Collecting Kubernetes metrics via AppOptics is as easy as deploying a single pod. This pod...
Service Mesh Logs Logs offer you fine-grained data for monitoring and troubleshooting production systems. The...
Get Started 2. Download the lab 3. Import into GNS3 Setup 1. Generate a new...
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