The flask tutorial with extra features
-
Updated
Jan 16, 2021 - Python
OpenTelemetry provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.
The flask tutorial with extra features
OpenTelemetry Flask auto instrumentation example.
Demo for tracing in a FastAPI python project using OpenTelemetry and Grafana Tempo
A stupidly implementation of a calculator on Kubernetes. It uses opentelemtry to understand traces. Use to study OTEL and kubernetes
A project which collects traces from python micro services and exports them to Jaeger
An OpenTelemetry Toolbox for Python Applications
Save OpenTelemetry spans generated during testing
A demo system for exploring the tracing features of Promscale
Sample Python App instrumented for Istio
An OpenTelemetry package to populates Resource attributes from Docker containers.
An OpenTelemetry package to populates Resource attributes for Kubernetes pods
An OpenTelemetry package to populates Resource attributes from the running process.
Various [arguably useless] Machine Learning services with gRPC and OpenTelemetry for demo purposes
Hipster-Shop with OpenTelemetry
A 15-Factor enabled MVC Flask CRUD application integrating with Dash
Simple FastAPI example with OpenTelemetry and Digma instrumentation
OpenTelemetry Python extensions written at Red Hat