DataDog/dd-trace-go
Jun 2026 – Jul 2026
2 Months active
Languages Used
Go
Technical Skills
Gobackend developmentdatabase managementBackend DevelopmentInstrumentationObservability
Martin Stidelius
PROFILE
Martin Stidelius
Worked on DataDog/dd-trace-go to enhance observability and instrumentation for Go applications using pgx connection pools. Delivered features that enabled tagging and distinguishing multiple pgx pools within a single service by introducing pool name tagging for both spans and metrics, with automatic naming based on connection configuration when not specified. Expanded the metrics framework by adding six new metrics, including configuration gauges and timing for empty acquire wait times, providing deeper insight into pool behavior and configuration. Emphasized code quality through extensive unit and integration testing, leveraging Go, OpenTelemetry, and StatsD to improve troubleshooting and capacity planning for backend systems.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
254
Activity Months2
Your Network
116 peopleShared Repositories
116
Work History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026 performance and reliability improvements for dd-trace-go focusing on Pgxpool observability. Delivered a targeted observability enhancement that exposes both pool configuration and runtime behavior to metrics, enabling deeper insight, faster troubleshooting, and better capacity planning for high-throughput applications.
1 Commits • 1 Features
Jul 1, 2026July 2026 performance and reliability improvements for dd-trace-go focusing on Pgxpool observability. Delivered a targeted observability enhancement that exposes both pool configuration and runtime behavior to metrics, enabling deeper insight, faster troubleshooting, and better capacity planning for high-throughput applications.
July 2026
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for DataDog/dd-trace-go, focusing on delivering enhanced pool observability for pgx.v5. Key feature delivered: Connection Pool Metrics Tagging that enables distinguishing between multiple pgx pools within the same service. Introduced the WithPoolName option to tag spans and pool metrics with a pool name; when set, a db.client.connection.pool.name span tag (OTel) and a pool_name:<name> StatsD tag are added to all relevant spans/metrics. When not set, the pool name is auto-generated from the connection config as host:port/database. Added extensive test coverage and a usage example. Impact: improves observability, reduces troubleshooting time, and enables more accurate capacity planning for multi-pool deployments. Technologies/skills demonstrated: Go, pgx, OpenTelemetry tagging, StatsD tagging, unit/integration testing, code quality, and maintainability.
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for DataDog/dd-trace-go, focusing on delivering enhanced pool observability for pgx.v5. Key feature delivered: Connection Pool Metrics Tagging that enables distinguishing between multiple pgx pools within the same service. Introduced the WithPoolName option to tag spans and pool metrics with a pool name; when set, a db.client.connection.pool.name span tag (OTel) and a pool_name:<name> StatsD tag are added to all relevant spans/metrics. When not set, the pool name is auto-generated from the connection config as host:port/database. Added extensive test coverage and a usage example. Impact: improves observability, reduces troubleshooting time, and enables more accurate capacity planning for multi-pool deployments. Technologies/skills demonstrated: Go, pgx, OpenTelemetry tagging, StatsD tagging, unit/integration testing, code quality, and maintainability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Backend DevelopmentGoInstrumentationObservabilitybackend developmentdatabase management
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