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
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...
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Get Started 2. Download the lab 3. Import into GNS3 Setup 1. Generate a new...
Performance tuning in asynchronous languages can be complicated. Back in the day when most languages didn’t...
Those of us who work in DevOps or system operations know that monitoring can be...
Back pressure is a signal that a service is at capacity and cannot accept more...
Observing distributed systems is a complicated problem. Traditional metrics and logging systems provide insights into...
We are big fans of webpack at AppOptics. It is a very capable tool with...
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