The documentation you are viewing is for Dapr v1.9 which is an older version of Dapr. For up-to-date documentation, see the latest version.
Logs
Dapr produces structured logs to stdout either as a plain text or JSON formatted. By default, all Dapr processes (runtime and control plane services) write to console out in plain text. To enable JSON formatted logs, you need to add the --log-as-json
command flag when running Dapr processes.
Note
If you want to use a search engine such as Elastic Search or Azure Monitor to search the logs, it is strongly recommended to use JSON-formatted logs which the log collector and search engine can parse using the built-in JSON parser.Log schema
Dapr produces logs based on the following schema.
Field | Description | Example |
---|---|---|
time | ISO8601 Timestamp | 2011-10-05T14:48:00.000Z |
level | Log Level (info/warn/debug/error) | info |
type | Log Type | log |
msg | Log Message | hello dapr! |
scope | Logging Scope | dapr.runtime |
instance | Container Name | dapr-pod-xxxxx |
app_id | Dapr App ID | dapr-app |
ver | Dapr Runtime Version | 0.5.0 |
Plain text and JSON formatted logs
- Plain text log examples
time="2020-03-11T17:08:48.303776-07:00" level=info msg="starting Dapr Runtime -- version 0.5.0-rc.3 -- commit v0.3.0-rc.0-155-g5dfcf2e" instance=dapr-pod-xxxx scope=dapr.runtime type=log ver=0.5.0-rc.3
time="2020-03-11T17:08:48.303913-07:00" level=info msg="log level set to: info" instance=dapr-pod-xxxx scope=dapr.runtime type=log ver=0.5.0-rc.3
- JSON formatted log examples
{"instance":"dapr-pod-xxxx","level":"info","msg":"starting Dapr Runtime -- version 0.5.0-rc.3 -- commit v0.3.0-rc.0-155-g5dfcf2e","scope":"dapr.runtime","time":"2020-03-11T17:09:45.788005Z","type":"log","ver":"0.5.0-rc.3"}
{"instance":"dapr-pod-xxxx","level":"info","msg":"log level set to: info","scope":"dapr.runtime","time":"2020-03-11T17:09:45.788075Z","type":"log","ver":"0.5.0-rc.3"}
Configurating plain text or JSON formatted logs
Dapr supports both plain text and JSON formatted logs. The default format is plain-text. If you want to use plain text with a search engine, you will not need to change any configuring options.
To use JSON formatted logs, you need to add additional configuration when you install Dapr and deploy your app. The recommendation is to use JSONformatted logs because most log collectors and search engines can parse JSON more easily with built-in parsers.
Configuring log format in Kubernetes
The following steps describe how to configure JSON formatted logs for Kubernetes
Install Dapr to your cluster using the Helm chart
You can enable JSON formatted logs for Dapr system services by adding --set global.logAsJson=true
option to Helm command.
helm install dapr dapr/dapr --namespace dapr-system --set global.logAsJson=true
Enable JSON formatted log for Dapr sidecars
You can enable JSON-formatted logs in Dapr sidecars activated by the Dapr sidecar-injector service by adding the dapr.io/log-as-json: "true"
annotation to the deployment.
apiVersion: apps/v1
kind: Deployment
metadata:
name: pythonapp
namespace: default
labels:
app: python
spec:
replicas: 1
selector:
matchLabels:
app: python
template:
metadata:
labels:
app: python
annotations:
dapr.io/enabled: "true"
dapr.io/app-id: "pythonapp"
dapr.io/log-as-json: "true"
...
API Logging
API logging enables you to see the API calls from your application to the Dapr sidecar to debug issues. You can combine both Dapr API logging with Dapr log events. See configure and view Dapr Logs and configure and view Dapr API Logs for more information.
Log collectors
If you run Dapr in a Kubernetes cluster, Fluentd is a popular container log collector. You can use Fluentd with a json parser plugin to parse Dapr JSON formatted logs. This how-to shows how to configure the Fluentd in your cluster.
If you are using the Azure Kubernetes Service, you can use the default OMS Agent to collect logs with Azure Monitor without needing to install Fluentd.
Search engines
If you use Fluentd, we recommend to using Elastic Search and Kibana. This how-to shows how to set up Elastic Search and Kibana in your Kubernetes cluster.
If you are using the Azure Kubernetes Service, you can use Azure monitor for containers without indstalling any additional monitoring tools. Also read How to enable Azure Monitor for containers
References
- How-to : Set up Fleuntd, Elastic search, and Kibana
- How-to : Set up Azure Monitor in Azure Kubernetes Service
- Configure and view Dapr Logs
- Configure and view Dapr API Logs
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