This is a storage grpc-plugin for Jaeger end-to-end distributed tracing system.
Currently, supports version 1.31.0.
For local testing, you need Docker and docker-compose.
First, you have to have Azure Data Explorer cluster, here's a quickstart: https://docs.microsoft.com/en-us/azure/data-explorer/create-cluster-database-portal
Then create a table:
.create table Spans (
TraceID: string,
SpanID: string,
OperationName: string,
References: dynamic,
Flags: int,
StartTime: datetime,
Duration: timespan,
Tags: dynamic,
Logs: dynamic,
ProcessServiceName: string,
ProcessTags: dynamic,
ProcessID: string
)Then, you should create json config file:
{
"clientId": "",
"clientSecret": "",
"database": "<database>",
"endpoint": "https://<cluster>.<region>.kusto.windows.net",
"tenantId": ""
}Save this file as jaeger-kusto-config.json in the root of repository.
Plugin can be started in one of two modes:
- Standalone app (as grpc server). For this mode, use
docker compose --file build/server/docker-compose.yml up --build - Jaeger collector plugin. For this mode, use
docker compose --file build/plugin/docker-compose.yml up --build
Any of docker-compose files will use Jaeger all-in-one container and start it together with Hotrod test app.
Jaeger UI will be at http://localhost:16686/, Hotrod test app will be at http://localhost:8080.
You can go to Hotrod test app and generate some spans. They will appear in Kusto approx. in 5 minutes (this can be controlled with IngestionBatching policy). After the spans have been ingested, you will see that UI works.
You can check that jaeger-kusto ingestion is working with this query:
.show commands
| where Database == '<yourdatabase>' and CommandType == 'DataIngestPull'
| top 10 by StartedOnFor production deployment we have these images:
- dodopizza/jaeger-kusto-query
- dodopizza/jaeger-kusto-collector
- dodopizza/jaeger-kusto-agent
- dodopizza/jaeger-kusto-plugin
You can view latest tag in docker hub
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