☁️ Build multimodal AI applications with cloud-native stack
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Updated
May 25, 2024 - 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.
☁️ Build multimodal AI applications with cloud-native stack
OpenTelemetry Python API and SDK
Feature rich robust FastAPI template.
Open-source observability for your LLM application, based on OpenTelemetry
Azure Monitor Distro for OpenTelemetry Python
Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.
grafana.grafana Ansible collection provides modules and roles for managing various resources on Grafana Cloud and roles to manage and deploy Grafana Agent and Grafana
Cloud Native Observability with OpenTelemetry, Published by Packt
OpenTelemetry Python exporters for Google Cloud Monitoring and Trace
Uncomplicated Observability for Python and beyond! 🪵🔥
This repository contains a microservice-based Sample App demonstrating observability capabilities in the Amazon OpenSearch Service.
A demo system for exploring the tracing features of Promscale
AWS Distro for OpenTelemetry Python
OpenLIT is an open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics in a single application 🔥 🖥 . Open source GenAI and LLM Application Performance Monitoring (APM) & Observability tool
A FastAPI backend for blog with OpenTelemtry and Jaeger
Trace FastAPI with Jaeger through OpenTelemetry Python API and SDK.
Distributed tracing demo.
Generate and push OpenTelemetry Trace data to an OTEL collector in JSON format