Log Management - Datadog Infrastructure and Application …
Datadog Log Management, also referred to as Datadog logs or logging, removes these limitations by decoupling log ingestion from indexing. This enables you to cost-effectively collect, process, archive, explore, and monitor all of your logs without limitations, also known as …
Getting Started with Logs - Datadog Infrastructure and Application ...
Use Datadog Log Management, also called logs, to collect logs across multiple logging sources, such as your server, container, cloud environment, application, or existing log processors and forwarders.
Log Collection and Integrations - Datadog Infrastructure and ...
See the Host Agent Log collection documentation for more information and examples. Once enabled, the Datadog Agent can be configured to tail log files or listen for logs sent over UDP/TCP, filter out logs or scrub sensitive data, and aggregate multi-line logs.
Log Search Syntax - Datadog Infrastructure and Application …
To perform a multi-character wildcard search in the log message (the content column in Log Explorer), use the * symbol as follows: service:web* matches every log message that has a service starting with web. web* matches all log messages starting with web. *web matches all log messages that end with web.
Log Explorer - Datadog Infrastructure and Application Monitoring
The Log Explorer is your home base for log troubleshooting and exploration. Whether you start from scratch, from a Saved View, or land here from any other context like monitor notifications or dashboard widgets, you can search and filter, group, visualize, and …
Kubernetes log collection - Datadog Infrastructure and Application ...
You can set datadog.logs.containerCollectAll to true to collect logs from all discovered containers by default. When set to false (default), you need to specify Autodiscovery log configurations to enable log collection.
ログ管理 - Datadogでインフラストラクチャーと ...
Join an introductory or intermediate enablement session to learn how Datadog Log Management unifies logs, metrics, and traces in a single view, giving you rich context for analyzing log data.
Flex Logs - Datadog Infrastructure and Application Monitoring
With Flex Logs, your teams can determine the query capacity they need to meet their use case, whether it’s a time-critical incident, a security investigation, or a compliance audit. By decoupling storage from compute costs, Flex Logs provides cost-effective, long-term retention of your logs.
Best Practices for Log Management - Datadog Infrastructure and ...
Therefore, this guide walks you through various Log Management best practices and account configurations that provide you flexibility in governance, usage attribution, and budget control. More specifically, how to: Set up multiple indexes to segment your logs. Set up multiple archives for long-term storage.
C# Log Collection - Datadog Infrastructure and Application …
Docs > Log Management > Log Collection and Integrations > C# Log Collection. To send your C# logs to Datadog, use one of the following approaches: Log to a file and then tail that file with your Datadog Agent. Enable Agentless logging. Use the Serilog sink.