#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

#rust #cloud_native #database #distributed_database #sql #stream_processing

https://github.com/singularity-data/risingwave

#c_lang #c #cloudnative #data_collector #fluent_bit #fluentd #forwarder #log #logging #metrics #sql_queries #stream_processing #traces

https://github.com/fluent/fluent-bit

#java #big_data #caching #data_in_motion #data_insights #distributed #distributed_computing #distributed_systems #hacktoberfest #hazelcast #in_memory #low_latency #real_time #scalability #stream_processing

https://github.com/hazelcast/hazelcast

#cplusplus #android #audio_processing #c_plus_plus #calculator #computer_vision #deep_learning #framework #graph_based #graph_framework #inference #machine_learning #mediapipe #mobile_development #perception #pipeline_framework #stream_processing #video_processing

MediaPipe is a tool that helps you add smart machine learning features to your apps and devices. It works on mobile, web, desktop, and other devices. You can use pre-made solutions for tasks like vision, text, and audio processing, or customize the models to fit your needs. MediaPipe also offers tools like Model Maker and Studio to help you create and test your solutions easily. This makes it easier to delight your customers with innovative features without needing deep machine learning expertise.

https://github.com/google-ai-edge/mediapipe

#go #cqrs #event_driven #event_sourcing #events #go #golang #kafka #nats #rabbitmq #reactive #sagas #stream_processing #watermill

Watermill is a tool for working with message streams in Go. It helps you build event-driven applications easily and efficiently. You can use it with various messaging systems like Kafka, RabbitMQ, or even HTTP and MySQL. Watermill is designed to be easy to understand, fast, flexible, and resilient. It provides many examples and a getting started guide to help you get going quickly. Using Watermill, you can handle messages in a simple way, similar to how you work with HTTP requests, making it easier to build distributed and scalable services without needing deep knowledge of complex systems. This makes it beneficial for developers who want to focus on their application logic rather than the underlying messaging infrastructure.

https://github.com/ThreeDotsLabs/watermill

#rust #events #forwarder #logs #metrics #observability #parser #pipeline #router #rust #stream_processing #vector

Vector is a powerful tool for managing your observability data, such as logs and metrics. It allows you to collect, transform, and route your data to any vendor you choose, giving you full control. Vector is reliable, fast (up to 10x faster than alternatives), and secure. It helps reduce costs, improve data quality, and consolidate agents, making your observability processes more efficient and reliable. With a strong community support and extensive documentation, Vector is used by many big companies and is downloaded over 100,000 times daily. This makes it a valuable tool for anyone looking to manage their data effectively.

https://github.com/vectordotdev/vector