#typescript #javascript #go #opensource #kafka #reactjs #metrics #prometheus #self_hosted #tracing #stream_processing #druid #gsoc #kafka_streams #observability #distributed_tracing #application_monitoring #jaegertracing #opentelemetry #open_telemetry

https://github.com/SigNoz/signoz

#go #agent #cloudnative #kubernetes #log #opentelemetry

https://github.com/loggie-io/loggie

#csharp #cqrs #ddd #docker #dotnet #dotnetcore #ef_core #eventstore #grpc #kube #masstransit #microservices #mongo_driver #opentelemetry #redis #tye #vertical_slice_architecture #yarp

https://github.com/meysamhadeli/booking-microservices-sample

#erlang #demo_app #jaeger #opentelemetry #opentelemetry_collector #opentelemetry_dotnet #opentelemetry_erlang #opentelemetry_go #opentelemetry_java_agent #opentelemetry_javascript #opentelemetry_python #opentelemetry_rust #prometheus

https://github.com/open-telemetry/opentelemetry-demo

#csharp #aspnetcore #authentication #dotnet_core #jwt #opentelemetry #rest_api

https://github.com/davidfowl/TodoApi

#go #hacktoberfest #kubernetes_operator #opentelemetry #opentelemetry_collector

https://github.com/open-telemetry/opentelemetry-operator

#go #metrics #monitoring #observability #open_telemetry #opentelemetry #telemetry

The OpenTelemetry Collector is a tool that helps you manage telemetry data easily. It can receive, process, and export data from various sources like Jaeger and Prometheus to different back-ends without needing multiple agents. Here are the key benefits It comes with reasonable default configurations and supports popular protocols, making it easy to use out of the box.
- **Performant** It is designed to be easily monitored.
- **Extensible** It supports traces, metrics, and logs in a single codebase.

This makes it simpler to manage your telemetry data in a unified and efficient way.

https://github.com/open-telemetry/opentelemetry-collector

#go #cncf #distributed_tracing #hacktoberfest #jaeger #observability #opentelemetry #tracing

Jaeger is a tool that helps you understand how different parts of your software work together. It's like a map that shows where data goes and how long it takes to get there. This helps you find and fix problems faster. Jaeger is free and open source, meaning anyone can use and improve it. It's supported by a big community and has clear guides on how to get started and contribute. Using Jaeger can make your software run more smoothly and efficiently.

https://github.com/jaegertracing/jaeger

#python #cloud_native #cncf #deep_learning #docker #fastapi #framework #generative_ai #grpc #jaeger #kubernetes #llmops #machine_learning #microservice #mlops #multimodal #neural_search #opentelemetry #orchestration #pipeline #prometheus

Jina-serve is a tool that helps you build and deploy AI services easily. It supports major machine learning frameworks and allows you to scale your services from local development to production quickly. You can use it to create AI services that communicate via gRPC, HTTP, and WebSockets. It has features like built-in Docker integration, one-click cloud deployment, and support for Kubernetes and Docker Compose, making it easy to manage and scale your AI applications. This makes it simpler for you to focus on the core logic of your AI projects without worrying about the technical details of deployment and scaling.

https://github.com/jina-ai/serve

#typescript #apm #application_monitoring #distributed_tracing #go #good_first_issue #jaeger #log #logs #metrics #monitoring #nextjs #observability #open_source #opentelemetry #prometheus #react #reactjs #self_hosted #tracing #typescript

SigNoz is a tool that helps you monitor and troubleshoot your applications easily. It combines logs, metrics, and traces in one place, allowing you to spot issues before they happen and fix problems quickly. It's cost-effective and open-source, similar to Datadog and New Relic but without the high costs. With SigNoz, you can monitor application performance, manage logs efficiently, track user requests across services, create customized dashboards, and set alerts for unusual activities. This makes it easier to identify and solve problems quickly, ensuring your application runs smoothly.

https://github.com/SigNoz/signoz