Datadog Cost Optimization Tips

Datadog, a widely used tool for monitoring and tracing software, presents challenges in cost management due to its complex billing system. The article provides several strategies to optimize Datadog costs, including utilizing committed use discounts, which can offer significant savings, and disabling containerized agent logs to prevent unnecessary billing for logs tracking the agent's performance. Implementing ingestion volume controls and being selective with custom metrics can help prevent overages. Setting an appropriate logging level, such as INFO, is recommended to avoid excessive logging costs. Additionally, routing through PrivateLink can reduce data egress charges significantly, particularly for AWS users. These practices aim to enhance the efficiency of using Datadog's services while maintaining cost-effectiveness.