Datadog Log management integration

​Datadog offers cloud-based monitoring and analytics platform which integrates and automates infrastructure monitoring, application performance monitoring, and log management for real-time observability of customers.
Datadog logging
Please, do not use these settings withAIDBOX_ES_URL (Elastic Logs and Monitoring) enabled. These are two alternative approaches for log management.
To enable Aidbox logs uploading into Datadog, you need to set AIDBOX_DD_API_KEY environment variable.
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AIDBOX_DD_API_KEY = <Datadog API Key>
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# Required.
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# Datadog API Key.
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AIDBOX_DD_BATCH_SIZE
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# Optional; default: 200.
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# How many log entries to collect before uploading.
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# Aidbox uploads logs when either at least AIDBOX_DD_BATCH_SIZE entries collected 
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# or time passed from previous log uploading exceeds AIDBOX_BATCH_TIMEOUT
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AIDBOX_DD_BATCH_TIMEOUT
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# Optional; default: 3600000 (1 hour)
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# How long to wait before uploading
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# Aidbox uploads logs when either at least AIDBOX_DD_BATCH_SIZE entries collected 
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# or time passed from previous log uploading exceeds AIDBOX_BATCH_TIMEOUT
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AIDBOX_DD_LOGS
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# Optional.
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# Path to file in which logs will be written in case of error 
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# in uploading logs to Datadog.
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# If not provided, in case of uploading error logs will be printed to stdout.
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AIDBOX_DD_TAGS
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# Optional.
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# Tags associated with your logs.
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# Convenient for transferring the name of the environment.
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# For example "env:staging"
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AIDBOX_DD_SITE
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# Optional; default: datadoghq.com
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The regional site for a Datadog customer. 
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This can only be one of datadoghq.com,us3.datadoghq.com,datadoghq.eu,ddog-gov.com
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By default, Aidbox sends logs as bundles of multiple records so if there's not enough data you won't see any logs in Datadog. For testing purposes reduce bundle size to 1 record by setting environment variable:
AIDBOX_DD_BATCH_SIZE=1

Log analysis and visualization tutorial

Export logs to Datadog tutorial

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Datadog logging