
Bruno Batista engineered advanced observability and telemetry features for the quarkusio/quarkus repository, focusing on seamless OpenTelemetry integration, metrics reliability, and performance optimization. He implemented end-to-end tracing, metrics, and logging, introducing features like GCP-compliant logging, Micrometer-to-OpenTelemetry bridges, and native image support. Using Java and YAML, Bruno refactored configuration management, enhanced test automation, and improved documentation to clarify metric outputs and onboarding. His work addressed real-world production needs by optimizing hot-path instrumentation, stabilizing asynchronous logging, and enabling secure data handling for MongoDB and JDBC. The depth of his contributions ensured robust, maintainable observability across evolving Quarkus deployments.
April 2026 monthly summary for repository quarkusio/quarkus focused on enhancing observability through OpenTelemetry instrumentation upgrades and telemetry enhancements. Upgraded the OpenTelemetry SDK to 1.60.1, added JDBC data source instrumentation, and improved logging and diagnostics for OpenTelemetry metrics, delivering clearer insights and faster issue resolution across the codebase.
April 2026 monthly summary for repository quarkusio/quarkus focused on enhancing observability through OpenTelemetry instrumentation upgrades and telemetry enhancements. Upgraded the OpenTelemetry SDK to 1.60.1, added JDBC data source instrumentation, and improved logging and diagnostics for OpenTelemetry metrics, delivering clearer insights and faster issue resolution across the codebase.
March 2026: Key telemetry and observability improvements in quarkusio/quarkus. Restored build-time OTLP exporter configuration, introduced MongoDB command obfuscation for OpenTelemetry tracing with configurable levels, and added regression tests plus fixes to preserve tracing context during REST read timeouts. These changes improve data privacy, reliability, and build-time configurability, delivering measurable business value in observability and user trust.
March 2026: Key telemetry and observability improvements in quarkusio/quarkus. Restored build-time OTLP exporter configuration, introduced MongoDB command obfuscation for OpenTelemetry tracing with configurable levels, and added regression tests plus fixes to preserve tracing context during REST read timeouts. These changes improve data privacy, reliability, and build-time configurability, delivering measurable business value in observability and user trust.
February 2026 delivered significant improvements in observability, stability, and performance across two core repos: quarkusio/quarkus and langchain4j/langchain4j. Key features include Metric Reader integration with the Quarkus classloader and PeriodicMetricReader export optimization, and Micrometer/OpenTelemetry testing improvements to strengthen test coverage for synchronous and asynchronous paths. In LangChain4j, telemetry monitoring for ChatModelListener was added to capture lifecycle metrics, durations, and token usage. Major bugs fixed addressed resilience of MDC entry preservation in VertxMDC (null-safe key-value retrieval) and improved connection error handling for Vertx HTTP/GRPC senders, enabling better diagnostics. Overall impact: improved reliability, diagnosability, and performance, enabling safer deployments and better data-driven decisions through richer metrics and telemetry. Technologies demonstrated: Micrometer, OpenTelemetry, Quarkus classloader integration, Vert.x MDC handling, and robust error logging.
February 2026 delivered significant improvements in observability, stability, and performance across two core repos: quarkusio/quarkus and langchain4j/langchain4j. Key features include Metric Reader integration with the Quarkus classloader and PeriodicMetricReader export optimization, and Micrometer/OpenTelemetry testing improvements to strengthen test coverage for synchronous and asynchronous paths. In LangChain4j, telemetry monitoring for ChatModelListener was added to capture lifecycle metrics, durations, and token usage. Major bugs fixed addressed resilience of MDC entry preservation in VertxMDC (null-safe key-value retrieval) and improved connection error handling for Vertx HTTP/GRPC senders, enabling better diagnostics. Overall impact: improved reliability, diagnosability, and performance, enabling safer deployments and better data-driven decisions through richer metrics and telemetry. Technologies demonstrated: Micrometer, OpenTelemetry, Quarkus classloader integration, Vert.x MDC handling, and robust error logging.
January 2026 (quarkusio/quarkus) monthly summary focusing on elevating observability reliability, metric accuracy, and identity/tracing validation. Delivered key features to strengthen metrics alignment, logging consistency across asynchronous paths, and JSON-based identity/trace validation, with accompanying tests. Impact highlights include improved metrics fidelity via Micrometer 1.16.1, more robust MDC handling in Vert.x, stabilization of OpenTelemetry sampling semantics, and enhanced JSON parsing/validation for identity and trace events.
January 2026 (quarkusio/quarkus) monthly summary focusing on elevating observability reliability, metric accuracy, and identity/tracing validation. Delivered key features to strengthen metrics alignment, logging consistency across asynchronous paths, and JSON-based identity/trace validation, with accompanying tests. Impact highlights include improved metrics fidelity via Micrometer 1.16.1, more robust MDC handling in Vert.x, stabilization of OpenTelemetry sampling semantics, and enhanced JSON parsing/validation for identity and trace events.
December 2025 monthly summary for quarkusio/quarkus focused on delivering a unified OpenTelemetry (OTel) adoption and deprecation strategy, stabilizing MDC/context management for Quarkus/Vert.x, and reducing maintenance overhead by removing OTel dependencies from monitor/tracing configuration. The work accelerates customer time-to-value for instrumentation and observability while lowering risk from dependency drift and configuration complexity.
December 2025 monthly summary for quarkusio/quarkus focused on delivering a unified OpenTelemetry (OTel) adoption and deprecation strategy, stabilizing MDC/context management for Quarkus/Vert.x, and reducing maintenance overhead by removing OTel dependencies from monitor/tracing configuration. The work accelerates customer time-to-value for instrumentation and observability while lowering risk from dependency drift and configuration complexity.
Month 2025-11 monthly summary focusing on observability and telemetry enhancements across two repositories. Key work delivered improved metrics visibility, upgraded telemetry stack, and documentation improvements across Quarkus and OpenTelemetry Java Instrumentation. No major bug fixes required this month; center on delivering features with clear business value and robust telemetry. These efforts increase observability coverage, accelerate incident response, and improve cross-project telemetry alignment.
Month 2025-11 monthly summary focusing on observability and telemetry enhancements across two repositories. Key work delivered improved metrics visibility, upgraded telemetry stack, and documentation improvements across Quarkus and OpenTelemetry Java Instrumentation. No major bug fixes required this month; center on delivering features with clear business value and robust telemetry. These efforts increase observability coverage, accelerate incident response, and improve cross-project telemetry alignment.
October 2025: Delivered significant observability and documentation improvements for quarkusio/quarkus. Key outcomes include a GCP-Compliant Logging and OpenTelemetry Telemetry Enhancement that enriches JSON logs with GCP-compatible tracing data, integrates OpenTelemetry traces, and flattens MDC fields for spanId, trace, and traceSampled; the work also upgrades OpenTelemetry instrumentation to version >2.21.0-alpha, with accompanying tests and documentation. Additionally, documented UnpooledByteBufAllocator usage and memory leak considerations to reduce misuse risk, supported by targeted documentation updates. No major bug fixes are recorded in this period based on available data.
October 2025: Delivered significant observability and documentation improvements for quarkusio/quarkus. Key outcomes include a GCP-Compliant Logging and OpenTelemetry Telemetry Enhancement that enriches JSON logs with GCP-compatible tracing data, integrates OpenTelemetry traces, and flattens MDC fields for spanId, trace, and traceSampled; the work also upgrades OpenTelemetry instrumentation to version >2.21.0-alpha, with accompanying tests and documentation. Additionally, documented UnpooledByteBufAllocator usage and memory leak considerations to reduce misuse risk, supported by targeted documentation updates. No major bug fixes are recorded in this period based on available data.
Concise monthly summary for 2025-09 focused on quarkusio/quarkus delivery across telemetry, metrics tagging, and developer onboarding. This period emphasized improved observability, reliability fixes, and clearer documentation with traceable commits to OpenTelemetry instrumentation, metrics tagging, and Dev Mode guidance.
Concise monthly summary for 2025-09 focused on quarkusio/quarkus delivery across telemetry, metrics tagging, and developer onboarding. This period emphasized improved observability, reliability fixes, and clearer documentation with traceable commits to OpenTelemetry instrumentation, metrics tagging, and Dev Mode guidance.
2025-08 monthly summary for quarkusio/quarkus focusing on metrics reliability, cross-extension interoperability, and documentation improvements. Highlights include stabilizing OpenTelemetry metrics tests, enabling cross-extension access to initialPath in HttpRequestMetric, and clarifying metric output guidance in documentation. These changes improve observability consistency, reduce flaky tests, and enhance developer experience across extensions.
2025-08 monthly summary for quarkusio/quarkus focusing on metrics reliability, cross-extension interoperability, and documentation improvements. Highlights include stabilizing OpenTelemetry metrics tests, enabling cross-extension access to initialPath in HttpRequestMetric, and clarifying metric output guidance in documentation. These changes improve observability consistency, reduce flaky tests, and enhance developer experience across extensions.
July 2025 monthly summary focused on improving observability and native-image reliability for Quarkus. Delivered a targeted bug fix to enable OpenTelemetry metrics in GraalVM native images by properly handling the jdk.jfr.Unsigned annotation at runtime.
July 2025 monthly summary focused on improving observability and native-image reliability for Quarkus. Delivered a targeted bug fix to enable OpenTelemetry metrics in GraalVM native images by properly handling the jdk.jfr.Unsigned annotation at runtime.
June 2025: Telemetry and test stability for quarkusio/quarkus. Delivered OpenTelemetry metrics enhancements (new JVM metrics, native-image conditioning), stabilized logging integration tests, reverted Prometheus client library update to maintain compatibility, and expanded telemetry documentation (Netty memory management metrics and exporters guidance).
June 2025: Telemetry and test stability for quarkusio/quarkus. Delivered OpenTelemetry metrics enhancements (new JVM metrics, native-image conditioning), stabilized logging integration tests, reverted Prometheus client library update to maintain compatibility, and expanded telemetry documentation (Netty memory management metrics and exporters guidance).
May 2025 monthly summary for quarkusio/quarkus: Implemented performance-oriented instrumentation and observability enhancements across OpenTelemetry, Micrometer, and datasource observability. Focused on hot-path optimization, memory efficiency, and improved guidance/docs to align with best practices; introduced a new datasource telemetry property and added cardinality-related safeguards.
May 2025 monthly summary for quarkusio/quarkus: Implemented performance-oriented instrumentation and observability enhancements across OpenTelemetry, Micrometer, and datasource observability. Focused on hot-path optimization, memory efficiency, and improved guidance/docs to align with best practices; introduced a new datasource telemetry property and added cardinality-related safeguards.
April 2025: Delivered end-to-end OpenTelemetry observability in Quarkus (Tracer, Metrics, and Logs) with exporter timeout and proto 1.5 alignment; refactored deployment processing into dedicated MetricsEnabled/LogsEnabled components to improve maintainability and performance. Implemented logging enhancements (configurable levels, logger name, centralized logging) and ensured exporters respect metrics enablement; fixed centralised logging issues. Improved CI/metrics reliability with Prometheus client v1 for Micrometer, faster OTLP export/test polling, and container image updates, resulting in faster feedback loops and reduced production risk. Technologies demonstrated: OpenTelemetry, Protobuf v1.5, Micrometer, Prometheus, OTLP, Quarkus, CI optimization.
April 2025: Delivered end-to-end OpenTelemetry observability in Quarkus (Tracer, Metrics, and Logs) with exporter timeout and proto 1.5 alignment; refactored deployment processing into dedicated MetricsEnabled/LogsEnabled components to improve maintainability and performance. Implemented logging enhancements (configurable levels, logger name, centralized logging) and ensured exporters respect metrics enablement; fixed centralised logging issues. Improved CI/metrics reliability with Prometheus client v1 for Micrometer, faster OTLP export/test polling, and container image updates, resulting in faster feedback loops and reduced production risk. Technologies demonstrated: OpenTelemetry, Protobuf v1.5, Micrometer, Prometheus, OTLP, Quarkus, CI optimization.
Monthly summary for 2025-03 highlighting business value and technical achievements across the Quarkus project. Deliveries focused on observability improvements, integration readiness, and test coverage to reduce mean time to resolution, enable proactive monitoring, and accelerate delivery pipelines.
Monthly summary for 2025-03 highlighting business value and technical achievements across the Quarkus project. Deliveries focused on observability improvements, integration readiness, and test coverage to reduce mean time to resolution, enable proactive monitoring, and accelerate delivery pipelines.
February 2025: Delivered OpenTelemetry enablement in two repositories with a focus on documentation, default metrics/logs, and test stability. Key outcomes include a new Quarkus OpenTelemetry zero-code Java documentation page with Maven/Gradle getting started, Java docs updated to highlight Quarkus as a zero-code instrumentation option, alignment of Quickstarts with Quarkus 3.19 by enabling metrics/logs by default, and test environment tuning by disabling Grafana LGTM dev service for faster, more stable runs. No critical defects reported; these changes improve developer onboarding, consistency, and time-to-value for OpenTelemetry instrumentation in Quarkus-based projects.
February 2025: Delivered OpenTelemetry enablement in two repositories with a focus on documentation, default metrics/logs, and test stability. Key outcomes include a new Quarkus OpenTelemetry zero-code Java documentation page with Maven/Gradle getting started, Java docs updated to highlight Quarkus as a zero-code instrumentation option, alignment of Quickstarts with Quarkus 3.19 by enabling metrics/logs by default, and test environment tuning by disabling Grafana LGTM dev service for faster, more stable runs. No critical defects reported; these changes improve developer onboarding, consistency, and time-to-value for OpenTelemetry instrumentation in Quarkus-based projects.
Month: 2025-01. This report highlights the principal business and technical accomplishments for quarkusio/quarkus. The team delivered substantial improvements in observability and OpenTelemetry integration, enhanced dashboards, and faster, more reliable tests, driving faster issue detection, reduced telemetry noise, and more accurate metrics. Key work spanned tracing behavior refinements, metrics configuration, and dashboard improvements, all contributing to stronger production readiness and developer experience.
Month: 2025-01. This report highlights the principal business and technical accomplishments for quarkusio/quarkus. The team delivered substantial improvements in observability and OpenTelemetry integration, enhanced dashboards, and faster, more reliable tests, driving faster issue detection, reduced telemetry noise, and more accurate metrics. Key work spanned tracing behavior refinements, metrics configuration, and dashboard improvements, all contributing to stronger production readiness and developer experience.
Month: 2024-12 — Strengthened observability and reduced log noise in the OTLP export and RestClient paths for quarkusio/quarkus. Key outcomes include lowering the log level of OTLP side exporter classes to reduce log clutter while preserving visibility, and adding an automated test to verify metrics generation for RestClient requests using @Url with dynamic base URIs. These changes improve diagnostics, reliability, and telemetry quality, enabling faster issue resolution and clearer telemetry signals. Technologies demonstrated include Java, Quarkus, OpenTelemetry OTLP exporter, RestClient, @Url, and test-driven validation across dynamic URI configurations.
Month: 2024-12 — Strengthened observability and reduced log noise in the OTLP export and RestClient paths for quarkusio/quarkus. Key outcomes include lowering the log level of OTLP side exporter classes to reduce log clutter while preserving visibility, and adding an automated test to verify metrics generation for RestClient requests using @Url with dynamic base URIs. These changes improve diagnostics, reliability, and telemetry quality, enabling faster issue resolution and clearer telemetry signals. Technologies demonstrated include Java, Quarkus, OpenTelemetry OTLP exporter, RestClient, @Url, and test-driven validation across dynamic URI configurations.
Concise monthly summary for 2024-11 focused on Quarkus OpenTelemetry integration, native image monitoring, and dependency hygiene. Delivered features enabling native JFR monitoring with OpenTelemetry metrics, streamlined dependencies for compatibility, and improved test reliability for metrics validation. These efforts enhanced observability, reliability, and readiness for native deployments while reducing maintenance risk across the OpenTelemetry surface.
Concise monthly summary for 2024-11 focused on Quarkus OpenTelemetry integration, native image monitoring, and dependency hygiene. Delivered features enabling native JFR monitoring with OpenTelemetry metrics, streamlined dependencies for compatibility, and improved test reliability for metrics validation. These efforts enhanced observability, reliability, and readiness for native deployments while reducing maintenance risk across the OpenTelemetry surface.
October 2024 — quarkusio/quarkus: Focused on delivering enhanced observability through a Micrometer to OpenTelemetry bridge, including HTTP metrics exemplars. This feature delivers seamless metrics export, new dependencies, configuration changes, and user documentation. It also adds support for Micrometer exemplars in HTTP metrics via OpenTelemetry context unwrapper classes and updated metric handling to propagate exemplars for richer telemetry. Two commits drove the work: a6c8a692f2c7f14d9ad0dc2c0899551e31362f3f (Micrometer to OTel Bridge) and fffb6cb5f90afaf20b9f80d89244004a8b25eb4a (Micrometer exemplars on HTTP).
October 2024 — quarkusio/quarkus: Focused on delivering enhanced observability through a Micrometer to OpenTelemetry bridge, including HTTP metrics exemplars. This feature delivers seamless metrics export, new dependencies, configuration changes, and user documentation. It also adds support for Micrometer exemplars in HTTP metrics via OpenTelemetry context unwrapper classes and updated metric handling to propagate exemplars for richer telemetry. Two commits drove the work: a6c8a692f2c7f14d9ad0dc2c0899551e31362f3f (Micrometer to OTel Bridge) and fffb6cb5f90afaf20b9f80d89244004a8b25eb4a (Micrometer exemplars on HTTP).

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