
Jared Lineaweaver developed and maintained core features for the DataDog/datadog-agent and related repositories, focusing on Kubernetes observability, ECS workload monitoring, and configuration management. He implemented caching for ECS task tags in Go to reduce agent load, introduced configurable limits for custom resource collection, and enhanced deployment flexibility by decoupling ECS runtime selection. Jared also improved documentation accuracy and established formal code ownership for ECS components, streamlining onboarding and governance. His work included backend development, Helm chart enhancements, and automated testing, demonstrating depth in cloud infrastructure and system design while addressing reliability, maintainability, and cross-team collaboration within production environments.

February 2026 — DataDog/datadog-agent: Delivered ECS Ownership Governance and Team Setup. Created ecs-experiences team to own ECS-related components and metrics, with defined governance and cross-team communication. This establishes formal code ownership and accelerates responsible development across ECS utilities. Commit reference: 4b8e2e9dd9127448e4c496cd1211bae4aa11031c (#45703). Major bugs fixed: none reported. Impact: stronger ownership, faster onboarding, clearer escalation paths, and more reliable ECS feature delivery. Technologies demonstrated: governance modeling, cross-functional collaboration, repository ownership strategies, and Git-based traceability.
February 2026 — DataDog/datadog-agent: Delivered ECS Ownership Governance and Team Setup. Created ecs-experiences team to own ECS-related components and metrics, with defined governance and cross-team communication. This establishes formal code ownership and accelerates responsible development across ECS utilities. Commit reference: 4b8e2e9dd9127448e4c496cd1211bae4aa11031c (#45703). Major bugs fixed: none reported. Impact: stronger ownership, faster onboarding, clearer escalation paths, and more reliable ECS feature delivery. Technologies demonstrated: governance modeling, cross-functional collaboration, repository ownership strategies, and Git-based traceability.
Month: 2025-11. DataDog/datadog-agent: Implemented ECS Managed Instances Runtime Handling and Sidecar Identification Refinement. This work decouples runtime selection from ECS, allowing Docker to determine the runtime and ensuring correct UI icons and backend configuration. Refactored naming to IsSidecar for clarity in sidecar deployment mode across ECS Managed Instances and Fargate. No major bugs fixed this month; focus was on feature refinement, code quality, and maintainability. Overall impact includes improved runtime reliability, reduced configuration errors, and smoother pathways for future sidecar deployments. Technologies demonstrated include ECS, Docker runtime behavior, sidecar patterns, UI/backend integration, and code refactoring.
Month: 2025-11. DataDog/datadog-agent: Implemented ECS Managed Instances Runtime Handling and Sidecar Identification Refinement. This work decouples runtime selection from ECS, allowing Docker to determine the runtime and ensuring correct UI icons and backend configuration. Refactored naming to IsSidecar for clarity in sidecar deployment mode across ECS Managed Instances and Fargate. No major bugs fixed this month; focus was on feature refinement, code quality, and maintainability. Overall impact includes improved runtime reliability, reduced configuration errors, and smoother pathways for future sidecar deployments. Technologies demonstrated include ECS, Docker runtime behavior, sidecar patterns, UI/backend integration, and code refactoring.
In October 2025, delivered ECS Managed Instances monitoring for DataDog/datadog-agent with a focus on flexible deployment and robust detection. The work decouples the ECS workloadmeta launch type from deployment mode and adds monitoring support for ECS Managed Instances, including detection, deployment mode resolution, sidecar hostname handling, and validation to prevent misconfigurations. These changes enhance deployment flexibility, reliability, and observability for ECS workloads.
In October 2025, delivered ECS Managed Instances monitoring for DataDog/datadog-agent with a focus on flexible deployment and robust detection. The work decouples the ECS workloadmeta launch type from deployment mode and adds monitoring support for ECS Managed Instances, including detection, deployment mode resolution, sidecar hostname handling, and validation to prevent misconfigurations. These changes enhance deployment flexibility, reliability, and observability for ECS workloads.
August 2025: Focused on stabilizing VPA behavior in DataDog/datadog-agent. Default VPA mode is Auto when not configured, with an automated test added to verify default behavior. This reduces configuration ambiguity, improves reliability of autoscaling, and lowers incident risk in production environments.
August 2025: Focused on stabilizing VPA behavior in DataDog/datadog-agent. Default VPA mode is Auto when not configured, with an automated test added to verify default behavior. This reduces configuration ambiguity, improves reliability of autoscaling, and lowers incident risk in production environments.
Monthly summary for 2025-07 focusing on delivering features, improving performance, and strengthening configuration robustness in the DataDog agent. Implemented caching to reduce ECS task tag retrieval load, added configurable limits for cluster-wide custom resources, and introduced comprehensive unit tests for orchestrator configuration loading. These efforts reduce runtime overhead, enhance observability, and improve maintainability in production deployments.
Monthly summary for 2025-07 focusing on delivering features, improving performance, and strengthening configuration robustness in the DataDog agent. Implemented caching to reduce ECS task tag retrieval load, added configurable limits for cluster-wide custom resources, and introduced comprehensive unit tests for orchestrator configuration loading. These efforts reduce runtime overhead, enhance observability, and improve maintainability in production deployments.
For May 2025, focused on improving documentation quality and accuracy in the DataDog/documentation repository. Delivered a critical revert to correct ECS Task Timeout guidance, ensuring user-visible docs reflect actual agent behavior and reducing potential customer confusion.
For May 2025, focused on improving documentation quality and accuracy in the DataDog/documentation repository. Delivered a critical revert to correct ECS Task Timeout guidance, ensuring user-visible docs reflect actual agent behavior and reducing potential customer confusion.
November 2024: Delivered targeted enhancements and critical fixes across Helm charts, the Datadog operator, and accompanying documentation to expand observability, maintain data integrity, and improve onboarding for customers deploying across Kubernetes clusters.
November 2024: Delivered targeted enhancements and critical fixes across Helm charts, the Datadog operator, and accompanying documentation to expand observability, maintain data integrity, and improve onboarding for customers deploying across Kubernetes clusters.
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