
Jonathan Ribas engineered core security and observability features for the DataDog/datadog-agent repository, focusing on container workload security, process management, and event integrity. He developed robust cgroup context resolution and centralized cgroup handling, improving reliability across diverse Linux environments. Leveraging Go and eBPF, Jonathan enhanced event telemetry by introducing file metadata resolvers and event signature frameworks, enabling richer threat detection and policy enforcement. He addressed kernel compatibility, optimized resource usage, and stabilized test suites by isolating network dependencies. His work demonstrated depth in backend development, system programming, and cloud security, consistently delivering maintainable solutions that improved monitoring accuracy and operational resilience.

In January 2026, delivered a reliability-focused test fix for DataDog/datadog-agent's Raw Packet Action Processing path. Fixed flaky test by removing external DNS dependencies and implementing a local UDP server for deterministic testing. Re-enabled the flaky test and solidified CI stability. Commit [CWS] fix and re-enable a flaky test (#45304) (3f230416121937a9856c38d3a875591ff5ba64af). Result: more reliable test suite, reduced flaky failures, and faster feedback for changes in packet-processing workflows. This work reduces release risk and improves confidence in critical networking code.
In January 2026, delivered a reliability-focused test fix for DataDog/datadog-agent's Raw Packet Action Processing path. Fixed flaky test by removing external DNS dependencies and implementing a local UDP server for deterministic testing. Re-enabled the flaky test and solidified CI stability. Commit [CWS] fix and re-enable a flaky test (#45304) (3f230416121937a9856c38d3a875591ff5ba64af). Result: more reliable test suite, reduced flaky failures, and faster feedback for changes in packet-processing workflows. This work reduces release risk and improves confidence in critical networking code.
December 2025 monthly summary for developer team focusing on delivery, reliability, and impact across DataDog/datadog-operator and DataDog/datadog-agent. Key achievements include delivering a host-level visibility enhancement, expanding monitoring capabilities, and introducing a robust event signature framework with accompanying tests. These efforts collectively improve observability, security policy enforcement, and event handling integrity across containerized environments. Overall impact: higher reliability of event data, improved host-process visibility for containerized apps, and stronger foundations for event-based detection and isolation workflows. These deliverables reduce alert noise, enable faster incident response, and support ongoing platform hardening. Technologies/skills demonstrated: Go-based implementations, Kubernetes operator patterns, system-probe integration, event lifecycle management, hash resolution, array field handling, event signatures, functional testing, and CWS/secure-by-default monitoring concepts.
December 2025 monthly summary for developer team focusing on delivery, reliability, and impact across DataDog/datadog-operator and DataDog/datadog-agent. Key achievements include delivering a host-level visibility enhancement, expanding monitoring capabilities, and introducing a robust event signature framework with accompanying tests. These efforts collectively improve observability, security policy enforcement, and event handling integrity across containerized environments. Overall impact: higher reliability of event data, improved host-process visibility for containerized apps, and stronger foundations for event-based detection and isolation workflows. These deliverables reduce alert noise, enable faster incident response, and support ongoing platform hardening. Technologies/skills demonstrated: Go-based implementations, Kubernetes operator patterns, system-probe integration, event lifecycle management, hash resolution, array field handling, event signatures, functional testing, and CWS/secure-by-default monitoring concepts.
November 2025: Delivered reliability improvements, observability enhancements, and security-focused infrastructure updates across core DataDog components. Key features include cgroup handling stability, log clarity improvements, and resource optimization in agent, plus missing filesystem mounts for CWS in helm-charts and expanded system-probe mounts in the operator. These changes improve metric accuracy, reduce noise, trim memory usage, and strengthen container security monitoring, delivering tangible business value in reliability, operational efficiency, and compliance.
November 2025: Delivered reliability improvements, observability enhancements, and security-focused infrastructure updates across core DataDog components. Key features include cgroup handling stability, log clarity improvements, and resource optimization in agent, plus missing filesystem mounts for CWS in helm-charts and expanded system-probe mounts in the operator. These changes improve metric accuracy, reduce noise, trim memory usage, and strengthen container security monitoring, delivering tangible business value in reliability, operational efficiency, and compliance.
Month: 2025-10 — Concise monthly summary for DataDog/datadog-agent focusing on features delivered, bugs fixed, impact, and demonstrated technologies. Highlights include robust cgroup context resolution, improved event context observability for Cloud Workload Security, eBPF map cleanup, and clear ownership updates.
Month: 2025-10 — Concise monthly summary for DataDog/datadog-agent focusing on features delivered, bugs fixed, impact, and demonstrated technologies. Highlights include robust cgroup context resolution, improved event context observability for Cloud Workload Security, eBPF map cleanup, and clear ownership updates.
September 2025: Reliability and correctness enhancements for container resource accounting in DataDog/datadog-agent. Implemented cgroup cache consistency improvements with fallbacks to cgroupfs and robust PID tracking across multiple cgroups, alongside stabilizing CWS tests to reduce flakiness and enforce self-test validation.
September 2025: Reliability and correctness enhancements for container resource accounting in DataDog/datadog-agent. Implemented cgroup cache consistency improvements with fallbacks to cgroupfs and robust PID tracking across multiple cgroups, alongside stabilizing CWS tests to reduce flakiness and enforce self-test validation.
August 2025 focused on strengthening container data quality and accuracy of security telemetry in the DataDog agent's Cloud Workload Security (CWS) integration for the DataDog/datadog-agent repository. Delivered a targeted refactor of cgroup handling and improved command naming for BusyBox on Fargate, aligning data schemas with runtime realities and reducing ambiguity in process naming.
August 2025 focused on strengthening container data quality and accuracy of security telemetry in the DataDog agent's Cloud Workload Security (CWS) integration for the DataDog/datadog-agent repository. Delivered a targeted refactor of cgroup handling and improved command naming for BusyBox on Fargate, aligning data schemas with runtime realities and reducing ambiguity in process naming.
June 2025 monthly summary for DataDog/datadog-agent focusing on cloud workload security enhancements and data enrichment. Delivered a targeted file metadata resolver for executable events within Cloud Workload Security (CWS), enabling richer telemetry and improved threat detection for executed files.
June 2025 monthly summary for DataDog/datadog-agent focusing on cloud workload security enhancements and data enrichment. Delivered a targeted file metadata resolver for executable events within Cloud Workload Security (CWS), enabling richer telemetry and improved threat detection for executed files.
May 2025 monthly summary for DataDog/datadog-agent: Focused on stabilizing nd_net offset probing across Linux kernel versions. Delivered a robust fallback for the device_nd_net_net_offset constant within the CWS module, enabling reliable data retrieval across diverse kernels and distributions and reducing data retrieval errors. Validated across multiple environments with minimal performance impact. Business value includes improved data quality and reduced incident response time.
May 2025 monthly summary for DataDog/datadog-agent: Focused on stabilizing nd_net offset probing across Linux kernel versions. Delivered a robust fallback for the device_nd_net_net_offset constant within the CWS module, enabling reliable data retrieval across diverse kernels and distributions and reducing data retrieval errors. Validated across multiple environments with minimal performance impact. Business value includes improved data quality and reduced incident response time.
April 2025: Delivered a security-focused enhancement to DataDog/datadog-agent by delaying kill actions during the first disarmer period, ensuring queued kills are processed after a defined duration and preventing premature termination when rules are disarmed. This improves process-management reliability and security enforcement. The change is traceable to commit 7e70dcdf6435c4a3e861bf31b193ff399688a08b ([CWS] delay kills on first rule disarmer period).
April 2025: Delivered a security-focused enhancement to DataDog/datadog-agent by delaying kill actions during the first disarmer period, ensuring queued kills are processed after a defined duration and preventing premature termination when rules are disarmed. This improves process-management reliability and security enforcement. The change is traceable to commit 7e70dcdf6435c4a3e861bf31b193ff399688a08b ([CWS] delay kills on first rule disarmer period).
March 2025 performance summary for DataDog/datadog-agent: Delivered critical enhancements to tracing, startup authentication, and telemetry enrichment, along with a reliability fix for symlink handling in security event reporting. The work improves bootstrap reliability, observability, and security monitoring in dynamic container environments, including Fargate deployments.
March 2025 performance summary for DataDog/datadog-agent: Delivered critical enhancements to tracing, startup authentication, and telemetry enrichment, along with a reliability fix for symlink handling in security event reporting. The work improves bootstrap reliability, observability, and security monitoring in dynamic container environments, including Fargate deployments.
February 2025 monthly summary for DataDog/datadog-agent: Delivered a targeted fix to inventory reporting for EKS Fargate by including the EKS cluster name in inventory data, improving accuracy and observability for Fargate workloads. The change reduces data gaps and supports cost management and asset tracking with more reliable cluster-context in inventory reports. Follow-on work may include validating across regions and additional Fargate configurations.
February 2025 monthly summary for DataDog/datadog-agent: Delivered a targeted fix to inventory reporting for EKS Fargate by including the EKS cluster name in inventory data, improving accuracy and observability for Fargate workloads. The change reduces data gaps and supports cost management and asset tracking with more reliable cluster-context in inventory reports. Follow-on work may include validating across regions and additional Fargate configurations.
January 2025 performance summary for DataDog/datadog-agent. Key focus: enhance container context extraction, reduce log noise for operational efficiency, and harden static builds to prevent runtime failures. Delivered three coordinated changes that improve security monitoring accuracy, observability signal quality, and deployment reliability.
January 2025 performance summary for DataDog/datadog-agent. Key focus: enhance container context extraction, reduce log noise for operational efficiency, and harden static builds to prevent runtime failures. Delivered three coordinated changes that improve security monitoring accuracy, observability signal quality, and deployment reliability.
December 2024: Delivered targeted ptrace enhancements for DataDog/datadog-agent focused on accuracy, observability, and performance in containerized workloads. Implemented NSID-aware tracee resolution and host-process mapping to improve trace accuracy across containers, with namespace-aware path resolution improvements. Reduced ptrace-related logging noise and improved diagnosability by lowering non-critical log levels and enriching error and context logs with pathname and container IDs. Improved ptrace efficiency through multi-process signaling and a generic, shared eBPF rate-limiter, increasing throughput and reducing overhead when tracing multiple processes.
December 2024: Delivered targeted ptrace enhancements for DataDog/datadog-agent focused on accuracy, observability, and performance in containerized workloads. Implemented NSID-aware tracee resolution and host-process mapping to improve trace accuracy across containers, with namespace-aware path resolution improvements. Reduced ptrace-related logging noise and improved diagnosability by lowering non-critical log levels and enriching error and context logs with pathname and container IDs. Improved ptrace efficiency through multi-process signaling and a generic, shared eBPF rate-limiter, increasing throughput and reducing overhead when tracing multiple processes.
November 2024: Reliability and observability enhancements for DataDog/datadog-agent. Fixed CWS eBPF-less startup crash; delivered CIDRSet-based IP matching; added CWS Fargate tag enrichment; refined CWS custom events with container context; extended ptrace PID resolution across namespaces and CentOS 7 compatibility with expanded tests. Result: improved startup stability, container attribution granularity, faster network matching, better event traceability, and robust cross-namespace tracing.
November 2024: Reliability and observability enhancements for DataDog/datadog-agent. Fixed CWS eBPF-less startup crash; delivered CIDRSet-based IP matching; added CWS Fargate tag enrichment; refined CWS custom events with container context; extended ptrace PID resolution across namespaces and CentOS 7 compatibility with expanded tests. Result: improved startup stability, container attribution granularity, faster network matching, better event traceability, and robust cross-namespace tracing.
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