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--- devops:monitoring:datadog:integrations [2025/02/14 10:13] – 85.219.17.206
+++ devops:monitoring:datadog:integrations [2025/02/14 10:15] (current) – 85.219.17.206
@@ Line 87: / Line 87: @@
 ddev create Awesome
-Write an Agent check
-At the core of each Agent-based integration is an Agent Check that periodically collects information and sends it to Datadog.
-Checks inherit their logic from the AgentCheck base class and have the following requirements:
-    Integrations running on the Datadog Agent v7 or later must be compatible with Python 3. Integrations running on the Datadog Agent v5 and v6 still use Python 2.7.
-    Checks must derive from AgentCheck.
-    Checks must provide a method with this signature: check(self, instance).
-    Checks are organized in regular Python packages under the datadog_checks namespace. For example, the code for Awesome lives in the awesome/datadog_checks/awesome/ directory.
-    The name of the package must be the same as the check name.
-    There are no restrictions on the name of the Python modules within that package, nor on the name of the class implementing the check.
-Implement check logic
-For Awesome, the Agent Check is composed of a service check named awesome.search that searches for a string on a web page. It results in OK if the string is present, WARNING if the page is accessible but the string was not found, and CRITICAL if the page is inaccessible.