DEFINITION
An open-source observability framework is used to collect, process and export telemetry data from your software applications and infrastructure. It is primarily used for tracking and metrics so that you can easily provide insights into how the application is performing. This process helps in identifying issues within the application and finding different causes.
Importance
- Easy to analyze the performance of an application.
- Help troubleshoot by finding issues and following requests.
- See what is happening across distributed applications.
- Easy to collaborate with the various vendors.
Use cases
- Monitor microservices and cloud native applications.
- Monitor API requests.
- Identify and solve issues.
- Monitor latency and performance of AI applications.
- Monitor AI agents and model serving infrastructure.
See it running on your own hardware
Vanik Edge OS runs AI models, agents and apps inside your building, so your data stays there.
