
During February 2025, JB contributed to the DataDog/documentation repository by delivering a feature focused on clarifying Agentless Scanning costs and deployment guidance. JB refactored Markdown documentation to provide per-host, per-year cost estimates and recommended configurations, helping users understand that costs are tied to cloud provider services used by scanners. The work emphasized Terraform-based deployment strategies to optimize expenses, regrouping agentless cost information for improved clarity. JB’s efforts centered on documentation skills and Markdown, with a technical approach that prioritized transparency and actionable guidance. While no bugs were fixed, the work demonstrated depth in addressing customer cost optimization needs.

February 2025 monthly summary for the DataDog/documentation team focusing on feature delivery around Agentless Scanning costs pricing clarity and deployment guidance, along with documentation refactor to emphasize Terraform-based deployment for expense optimization. No major bugs fixed during this period. Overall, the work enhances cost transparency for customers and provides clear deployment guidance to optimize spend on cloud-provider services consumed by scanners.
February 2025 monthly summary for the DataDog/documentation team focusing on feature delivery around Agentless Scanning costs pricing clarity and deployment guidance, along with documentation refactor to emphasize Terraform-based deployment for expense optimization. No major bugs fixed during this period. Overall, the work enhances cost transparency for customers and provides clear deployment guidance to optimize spend on cloud-provider services consumed by scanners.
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