Differences

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--- devops:monitoring:datadog:dogstatsd [2025/02/14 14:14] – 85.219.17.206
+++ devops:monitoring:datadog:dogstatsd [2025/02/14 14:18] (current) – [DogStatsD Features] 85.219.17.206
@@ Line 21: / Line 21: @@
 Example usage in **Python**:
-```python
+<code:python>
 from datadog import DogStatsd
@@ Line 35: / Line 37: @@
 # Send a timer metric
 statsd.timer('my_app.response.time', 123)
+</code>
 Example usage in Node.js:
+<code:node.js>
 const dogstatsd = require('dogstatsd-client');
@@ Line 51: / Line 56: @@
 // Send a timer metric
 statsd.timing('my_app.response.time', 123);
+</code>
 ==== DogStatsD Features ====
-    Types of Metrics:
+Types of Metrics:
-        Counters: Count occurrences of an event (e.g., my_app.requests.count).
+         *  Counters: Count occurrences of an event (e.g., my_app.requests.count).
-        Gauges: Measure a value at a specific point in time (e.g., my_app.memory.usage).
+  *         Gauges: Measure a value at a specific point in time (e.g., my_app.memory.usage).
-        Timers: Measure the time it takes to perform an operation (e.g., my_app.response.time).
+  *         Timers: Measure the time it takes to perform an operation (e.g., my_app.response.time).
-        Histograms: Collect distribution statistics (e.g., request duration or response sizes).
+  *         Histograms: Collect distribution statistics (e.g., request duration or response sizes).
-    Tags: DogStatsD supports adding custom tags to metrics for more detailed filtering and grouping in Datadog. For example, you can track metrics by region or host:
+Tags: DogStatsD supports adding custom tags to metrics for more detailed filtering and grouping in Datadog. For example, you can track metrics by region or host:
-statsd.increment('my_app.requests.count', tags=["env:production", "region:us-west"])
+    statsd.increment('my_app.requests.count', tags=["env:production", "region:us-west"])
-    Multi-dimensional Aggregation: DogStatsD supports the aggregation of metrics by multiple dimensions (e.g., by host, service, or other attributes) to provide more granular insights.
+Multi-dimensional Aggregation: DogStatsD supports the aggregation of metrics by multiple dimensions (e.g., by host, service, or other attributes) to provide more granular insights.
-    Real-time Metrics: DogStatsD reports metrics in real time, which can be visualized in Datadog dashboards, monitors, and alerts.
+Real-time Metrics: DogStatsD reports metrics in real time, which can be visualized in Datadog dashboards, monitors, and alerts.
 ==== DogStatsD with Datadog Agent ====