Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard

• prometheus

  382 52,843 9.9 Go

  The Prometheus monitoring system and time series database.

  

Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.

• gRPC

  201 40,775 9.9 C++

  The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

  

gRPC, built on HTTP/2, inherently supports flow control. The server can push updates, but it must also respect flow control signals from the client, ensuring that it doesn't send data faster than what the client can handle.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Grafana

  379 60,395 10.0 TypeScript

  The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

  

To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.

• go

  2,075 119,718 10.0 Go

  The Go programming language

  

I've been writing a lot about Go and gRPC lately:

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