Skip to content

Project demonstrating Complete Observability Stack utilizing Prometheus, Loki (For distributed logging), Tempo (For Distributed tracing, this basically uses Jaeger Internally), Grafana for NodeJs based applications (With OpenTelemetry auto / manual Instrumentation) involving microservices with DB interactions.

mnadeem/nodejs-opentelemetry-tempo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

99 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Project Demonstrating Observability For NodeJs Applications

This is a project demonstrating Observability using :

And basically integrates the following

And basically it demonstrate the best practices for :

  • Demonstrate how to use Opentelemetry API
  • Logging : Using Log4js
  • ES6 : Using Babel
  • Metrics : Using Promclient
  • Seperating configuration
  • Containerization

Running

In Docker

docker-compose up --build

Access the endpoint

View the log and trace in Grafana

Get the trace information Using Jaeger

View the metrics in Prometheus

View prometheus metrics in Grafana

In Command prompt

Create .env file in root folder, refer this for more details on environment variables.

LOG_FILE_NAME=nodejs-opentelemetry-tempo.log
OTEL_SERVICE_NAME=nodejs-opentelemetry-tempo
OTEL_EXPORTER_JAEGER_ENDPOINT=http://localhost:14268/api/traces
DB_USER=sa
DB_PASS=P@ssw0rd
DB_SERVER=otmssql
DB_NAME=OtelTempo

Create Network

docker network create docker-tempo

Start tempo

ABSOLUTE_PATH_OF_PROJECT = E:\githubRepos\nodejs-opentelemetry-tempo

docker run -d --rm -p 6831:6831/udp -p 6832:6832/udp -p 9411:9411 -p 55680:55680 -p 3100:3100 -p 14250:14250 -p 14268:14268 --name tempo -v ${ABSOLUTE_PATH_OF_PROJECT}\etc\tempo-local.yaml:/etc/tempo.yaml --network docker-tempo  grafana/tempo:latest --config.file=/etc/tempo.yaml

Start tempo query

docker run -d --rm -p 16686:16686 --name tempo-query -v ${ABSOLUTE_PATH_OF_PROJECT}\etc\tempo-query.yaml:/etc/tempo-query.yaml  --network docker-tempo  grafana/tempo-query:latest  --grpc-storage-plugin.configuration-file=/etc/tempo-query.yaml

Start mssql

docker run  -p 1433:1433 -d -e ACCEPT_EULA=Y --name otmssql -e SA_PASSWORD=P@ssw0rd --network docker-tempo mcr.microsoft.com/mssql/server

Connect to mssql and create db OtelTempo and table as in .data\db\mssql\scripts

npm install
npm run dev

Access the endpoint

Get the trace information in Jaeger

Connecting To MSSQL DB

Lets connect to MSSQL DB running on container from Windows machine

Note : I have use heidisql, other option would be dbeaver

Also See

References

About

Project demonstrating Complete Observability Stack utilizing Prometheus, Loki (For distributed logging), Tempo (For Distributed tracing, this basically uses Jaeger Internally), Grafana for NodeJs based applications (With OpenTelemetry auto / manual Instrumentation) involving microservices with DB interactions.

Resources

Stars

Watchers

Forks

Packages

No packages published