newrelic/newrelic-java-agent
Nov 2024 – Oct 2025
3 Months active
Languages Used
GradleJava
Technical Skills
Agent DevelopmentBuild ConfigurationDependency ManagementError HandlingJavaJava Development
Jason Keller
PROFILE
Jason Keller
Jason Keller enhanced the newrelic/newrelic-java-agent repository by delivering targeted improvements to distributed tracing, instrumentation stability, and observability. He implemented a centralized SamplerConfig to streamline distributed tracing configuration, refactored legacy code for maintainability, and introduced supportability metrics to improve trace sampling insights. Using Java and Gradle, Jason addressed memory management issues in HttpClient instrumentation and updated JFR daemon dependencies to strengthen telemetry reliability. His work included refining error handling and logging to reduce noise while preserving traceability, as well as aligning tests for Kotlin interoperability. These contributions improved production stability, reduced maintenance overhead, and enabled more reliable performance monitoring.
Overall Statistics
Feature vs Bugs
25%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
1
Lines of code
1,591
Activity Months3
Your Network
17 people
Work History
October 2025
5 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary focusing on distributed tracing configurability and observability improvements in the Java agent. Implemented centralized SamplerConfig, modular refactors, unit tests, safer defaults for invalid config paths, and instrumentation cleanup. This work enhances trace reliability, reduces maintenance burden, and improves observability for faster troubleshooting and performance optimization.
5 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary focusing on distributed tracing configurability and observability improvements in the Java agent. Implemented centralized SamplerConfig, modular refactors, unit tests, safer defaults for invalid config paths, and instrumentation cleanup. This work enhances trace reliability, reduces maintenance burden, and improves observability for faster troubleshooting and performance optimization.
October 2025
January 2025
2 Commits
Jan 1, 2025January 2025 performance summary for newrelic/newrelic-java-agent: Delivered stability and correctness improvements through targeted bug fixes in JFR event generation and HttpClient instrumentation, reinforcing reliability of telemetry signals and reducing runtime risk. Focused on two critical fixes with clear commit references to minimize downtime and improve observability data quality. Overall impact includes fewer telemetry errors, reduced memory retention risks in instrumentation pipelines, and steadier performance of the agent in production deployments. Technologies and skills demonstrated include Java instrumentation, JFR event handling, HttpClient 5.0 instrumentation, and memory management practices.
January 2025
2 Commits
Jan 1, 2025January 2025 performance summary for newrelic/newrelic-java-agent: Delivered stability and correctness improvements through targeted bug fixes in JFR event generation and HttpClient instrumentation, reinforcing reliability of telemetry signals and reducing runtime risk. Focused on two critical fixes with clear commit references to minimize downtime and improve observability data quality. Overall impact includes fewer telemetry errors, reduced memory retention risks in instrumentation pipelines, and steadier performance of the agent in production deployments. Technologies and skills demonstrated include Java instrumentation, JFR event handling, HttpClient 5.0 instrumentation, and memory management practices.
November 2024
6 Commits
Nov 1, 2024Month: 2024-11 | Repository: newrelic/newrelic-java-agent Key features delivered: - Instrumentation stability and reliability improvements for the Java agent. Cap lettuce-6.0 instrumentation at 6.5.0.RELEASE and cap kafka-clients-metrics-3.7.0 at 3.9.0 to align with stable versions, reducing runtime instability. (Commits: 24dcc2ec7e76a63ba8f64aad283ac01a6925fa12; 2f2810f13eef2275cb2684a172199f583f1b40a1) - Update of JFR daemon to 1.13.0 for improved observability and performance. (Commit: 236a057d45ec71bd6d24798f42c303fe795610cd) - Tests updated to reflect transitive Kotlin dependencies and to fix coverage gaps; simplified logging while preserving traceability. (Commits: 56abbecaa816aa079dc03eab2f883fef26e3b117; aa52824135f12773afa48ad3788a311d6cc12319; a3d40176142a44f0004ce14d95052576f98884f3) - Specific test fix for SourceLibraryDetectorTest to improve reliability. (Commit: 56abbecaa816aa079dc03eab2f883fef26e3b117) Major bugs fixed: - Stability and correctness improvements to the instrumentation framework reduced false positives and noise, improving overall reliability in production environments. - Reduced log noise while preserving traceability for important instrumentation events; updated exception logging to avoid emitting full stacks for expected exceptions (e.g., NPE in noticeTracer). - Resolved test flakiness and alignment issues related to transitive Kotlin dependencies, improving CI consistency. Overall impact and accomplishments: - This work delivers measurable business value by increasing the stability and reliability of production instrumentation, improving observability of Java applications, and reducing noise in logs that can obscure critical signals. Dependency alignment and targeted fixes also simplify future maintenance and upgrades. Technologies/skills demonstrated: - Java agent instrumentation and stability engineering - Dependency management and version pinning (Lettuce, Kafka clients, JFR) - Observability enhancements (JFR, improved logging, traceability) - Testing alignment and Kotlin interoperability - Bug fixing under CI/CD with targeted test fixes
6 Commits
Nov 1, 2024Month: 2024-11 | Repository: newrelic/newrelic-java-agent Key features delivered: - Instrumentation stability and reliability improvements for the Java agent. Cap lettuce-6.0 instrumentation at 6.5.0.RELEASE and cap kafka-clients-metrics-3.7.0 at 3.9.0 to align with stable versions, reducing runtime instability. (Commits: 24dcc2ec7e76a63ba8f64aad283ac01a6925fa12; 2f2810f13eef2275cb2684a172199f583f1b40a1) - Update of JFR daemon to 1.13.0 for improved observability and performance. (Commit: 236a057d45ec71bd6d24798f42c303fe795610cd) - Tests updated to reflect transitive Kotlin dependencies and to fix coverage gaps; simplified logging while preserving traceability. (Commits: 56abbecaa816aa079dc03eab2f883fef26e3b117; aa52824135f12773afa48ad3788a311d6cc12319; a3d40176142a44f0004ce14d95052576f98884f3) - Specific test fix for SourceLibraryDetectorTest to improve reliability. (Commit: 56abbecaa816aa079dc03eab2f883fef26e3b117) Major bugs fixed: - Stability and correctness improvements to the instrumentation framework reduced false positives and noise, improving overall reliability in production environments. - Reduced log noise while preserving traceability for important instrumentation events; updated exception logging to avoid emitting full stacks for expected exceptions (e.g., NPE in noticeTracer). - Resolved test flakiness and alignment issues related to transitive Kotlin dependencies, improving CI consistency. Overall impact and accomplishments: - This work delivers measurable business value by increasing the stability and reliability of production instrumentation, improving observability of Java applications, and reducing noise in logs that can obscure critical signals. Dependency alignment and targeted fixes also simplify future maintenance and upgrades. Technologies/skills demonstrated: - Java agent instrumentation and stability engineering - Dependency management and version pinning (Lettuce, Kafka clients, JFR) - Observability enhancements (JFR, improved logging, traceability) - Testing alignment and Kotlin interoperability - Bug fixing under CI/CD with targeted test fixes
November 2024
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Quality Metrics
Correctness92.4%
Maintainability93.8%
Architecture87.6%
Performance87.6%
AI Usage21.6%
Skills & Technologies
Programming Languages
GradleJava
Technical Skills
Agent DevelopmentBackend DevelopmentBuild ConfigurationCode RefactoringConfiguration ManagementDependency ManagementDistributed TracingError HandlingInstrumentationJavaJava DevelopmentLoggingMemory ManagementMetricsObservability
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