Bump go.opentelemetry.io/otel from 1.38.0 to 1.39.0

[dependabot]

Bumps go.opentelemetry.io/otel from 1.38.0 to 1.39.0.

Changelog

Sourced from go.opentelemetry.io/otel's changelog.

[1.39.0/0.61.0/0.15.0/0.0.14] 2025-12-05

Added

• Greatly reduce the cost of recording metrics in go.opentelemetry.io/otel/sdk/metric using hashing for map keys. (#7175)
• Add WithInstrumentationAttributeSet option to go.opentelemetry.io/otel/log, go.opentelemetry.io/otel/metric, and go.opentelemetry.io/otel/trace packages. This provides a concurrent-safe and performant alternative to WithInstrumentationAttributes by accepting a pre-constructed attribute.Set. (#7287)
• Add experimental observability for the Prometheus exporter in go.opentelemetry.io/otel/exporters/prometheus. Check the go.opentelemetry.io/otel/exporters/prometheus/internal/x package documentation for more information. (#7345)
• Add experimental observability metrics in go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploggrpc. (#7353)
• Add temporality selector functions DeltaTemporalitySelector, CumulativeTemporalitySelector, LowMemoryTemporalitySelector to go.opentelemetry.io/otel/sdk/metric. (#7434)
• Add experimental observability metrics for simple log processor in go.opentelemetry.io/otel/sdk/log. (#7548)
• Add experimental observability metrics in go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc. (#7459)
• Add experimental observability metrics in go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp. (#7486)
• Add experimental observability metrics for simple span processor in go.opentelemetry.io/otel/sdk/trace. (#7374)
• Add experimental observability metrics in go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp. (#7512)
• Add experimental observability metrics for manual reader in go.opentelemetry.io/otel/sdk/metric. (#7524)
• Add experimental observability metrics for periodic reader in go.opentelemetry.io/otel/sdk/metric. (#7571)
• Support OTEL_EXPORTER_OTLP_LOGS_INSECURE and OTEL_EXPORTER_OTLP_INSECURE environmental variables in go.opentelemetry.io/otel/exporters/otlp/otlplog/otlploghttp. (#7608)
• Add Enabled method to the Processor interface in go.opentelemetry.io/otel/sdk/log. All Processor implementations now include an Enabled method. (#7639)
• The go.opentelemetry.io/otel/semconv/v1.38.0 package. The package contains semantic conventions from the v1.38.0 version of the OpenTelemetry Semantic Conventions. See the migration documentation for information on how to upgrade from go.opentelemetry.io/otel/semconv/v1.37.0.(#7648)

Changed

• Distinct in go.opentelemetry.io/otel/attribute is no longer guaranteed to uniquely identify an attribute set. Collisions between Distinct values for different Sets are possible with extremely high cardinality (billions of series per instrument), but are highly unlikely. (#7175)
• WithInstrumentationAttributes in go.opentelemetry.io/otel/trace synchronously de-duplicates the passed attributes instead of delegating it to the returned TracerOption. (#7266)
• WithInstrumentationAttributes in go.opentelemetry.io/otel/meter synchronously de-duplicates the passed attributes instead of delegating it to the returned MeterOption. (#7266)
• WithInstrumentationAttributes in go.opentelemetry.io/otel/log synchronously de-duplicates the passed attributes instead of delegating it to the returned LoggerOption. (#7266)
• Rename the OTEL_GO_X_SELF_OBSERVABILITY environment variable to OTEL_GO_X_OBSERVABILITY in go.opentelemetry.io/otel/sdk/trace, go.opentelemetry.io/otel/sdk/log, and go.opentelemetry.io/otel/exporters/stdout/stdouttrace. (#7302)
• Improve performance of histogram Record in go.opentelemetry.io/otel/sdk/metric when min and max are disabled using NoMinMax. (#7306)
• Improve error handling for dropped data during translation by using prometheus.NewInvalidMetric in go.opentelemetry.io/otel/exporters/prometheus. ⚠️ Breaking Change: Previously, these cases were only logged and scrapes succeeded. Now, when translation would drop data (e.g., invalid label/value), the exporter emits a NewInvalidMetric, and Prometheus scrapes fail with HTTP 500 by default. To preserve the prior behavior (scrapes succeed while errors are logged), configure your Prometheus HTTP handler with: promhttp.HandlerOpts{ ErrorHandling: promhttp.ContinueOnError }. (#7363)
• Replace fnv hash with xxhash in go.opentelemetry.io/otel/attribute for better performance. (#7371)
• The default TranslationStrategy in go.opentelemetry.io/exporters/prometheus is changed from otlptranslator.NoUTF8EscapingWithSuffixes to otlptranslator.UnderscoreEscapingWithSuffixes. (#7421)
• Improve performance of concurrent measurements in go.opentelemetry.io/otel/sdk/metric. (#7427)
• Include W3C TraceFlags (bits 0–7) in the OTLP Span.Flags field in go.opentelemetry.io/exporters/otlp/otlptrace/otlptracehttp and go.opentelemetry.io/exporters/otlp/otlptrace/otlptracegrpc. (#7438)
• The ErrorType function in go.opentelemetry.io/otel/semconv/v1.37.0 now handles custom error types. If an error implements an ErrorType() string method, the return value of that method will be used as the error type. (#7442)

Fixed

• Fix WithInstrumentationAttributes options in go.opentelemetry.io/otel/trace, go.opentelemetry.io/otel/metric, and go.opentelemetry.io/otel/log to properly merge attributes when passed multiple times instead of replacing them. Attributes with duplicate keys will use the last value passed. (#7300)
• The equality of attribute.Set when using the Equal method is not affected by the user overriding the empty set pointed to by attribute.EmptySet in go.opentelemetry.io/otel/attribute. (#7357)

... (truncated)

Commits

• 6ce1429 Release v1.39.0 (#7676)
• 12e421a sdk/log: move Enabled method from FilterProcessor to Processor (#7639)
• 5982f16 fix(deps): update module golang.org/x/sys to v0.39.0 (#7684)
• 9288378 chore(deps): update module golang.org/x/sync to v0.19.0 (#7683)
• ee3dfef chore(deps): update github.com/securego/gosec/v2 digest to 41f28e2 (#7682)
• 9345d1f fix(deps): update module github.com/golangci/golangci-lint/v2 to v2.7.2 (#7680)
• d03b033 Check context prior to delaying retry in OTLP exporters (#7678)
• 61765e7 Fix flaky TestClientInstrumentation (#7677)
• a54721c chore(deps): update module github.com/go-git/go-billy/v5 to v5.7.0 (#7679)
• 746d086 chore(deps): update github/codeql-action action to v4.31.7 (#7675)
• Additional commits viewable in compare view

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[agent-platform-auto-pr]

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor d1bd251

Successful checks

Info

	Quality gate	Delta	On disk size (MiB)	Delta	On wire size (MiB)
✅	agent_deb_amd64	$${+0.07}$$	$${706.4}$$ < $${707.13}$$	$${+0.05}$$	$${173.31}$$ < $${174.16}$$
✅	agent_deb_amd64_fips	$${+0.08}$$	$${702.63}$$ < $${702.86}$$	$${-0.01}$$	$${172.59}$$ < $${173.5}$$
✅	agent_heroku_amd64	$${+0.04}$$	$${327.55}$$ < $${327.92}$$	$${-0.02}$$	$${87.22}$$ < $${88.21}$$
✅	agent_msi	$${+0.06}$$	$${570.48}$$ < $${982.08}$$	$${+0.02}$$	$${142.49}$$ < $${143.49}$$
✅	agent_rpm_amd64	$${+0.07}$$	$${706.39}$$ < $${707.12}$$	$${+0.01}$$	$${176.42}$$ < $${177.29}$$
✅	agent_rpm_amd64_fips	$${+0.08}$$	$${702.61}$$ < $${702.85}$$	$${+0.02}$$	$${175.44}$$ < $${176.32}$$
✅	agent_rpm_arm64	$${+0.07}$$	$${688.09}$$ < $${691.67}$$	$${-0.03}$$	$${159.4}$$ < $${160.7}$$
✅	agent_rpm_arm64_fips	$${+0.07}$$	$${685.13}$$ < $${687.54}$$	$${-0.01}$$	$${159.18}$$ < $${160.11}$$
✅	agent_suse_amd64	$${+0.07}$$	$${706.39}$$ < $${707.12}$$	$${+0.01}$$	$${176.42}$$ < $${177.29}$$
✅	agent_suse_amd64_fips	$${+0.08}$$	$${702.61}$$ < $${702.85}$$	$${+0.02}$$	$${175.44}$$ < $${176.32}$$
✅	agent_suse_arm64	$${+0.07}$$	$${688.09}$$ < $${691.67}$$	$${-0.03}$$	$${159.4}$$ < $${160.7}$$
✅	agent_suse_arm64_fips	$${+0.07}$$	$${685.13}$$ < $${687.54}$$	$${-0.01}$$	$${159.18}$$ < $${160.11}$$
✅	docker_agent_amd64	$${+0.07}$$	$${768.64}$$ < $${769.38}$$	$${+0.02}$$	$${261.19}$$ < $${262.06}$$
✅	docker_agent_arm64	$${+0.07}$$	$${774.88}$$ < $${778.35}$$	$${+0.02}$$	$${250.29}$$ < $${251.72}$$
✅	docker_agent_jmx_amd64	$${+0.07}$$	$${959.52}$$ < $${960.26}$$	$${+0.02}$$	$${329.83}$$ < $${330.69}$$
✅	docker_agent_jmx_arm64	$${+0.07}$$	$${954.48}$$ < $${957.95}$$	$${+0.02}$$	$${314.91}$$ < $${316.35}$$
✅	docker_cluster_agent_amd64	$${+0.02}$$	$${179.42}$$ < $${179.56}$$	$${+0.01}$$	$${63.44}$$ < $${64.14}$$
✅	docker_cluster_agent_arm64	$${+0}$$	$${195.36}$$ < $${196.79}$$	$${-0}$$	$${59.75}$$ < $${60.69}$$
✅	docker_cws_instrumentation_amd64	$${0}$$	$${7.13}$$ < $${7.18}$$	$${-0}$$	$${2.99}$$ < $${3.33}$$
✅	docker_cws_instrumentation_arm64	$${0}$$	$${6.69}$$ < $${6.92}$$	$${+0}$$	$${2.73}$$ < $${3.09}$$
✅	docker_dogstatsd_amd64	$${+0.01}$$	$${38.76}$$ < $${39.38}$$	$${+0}$$	$${15.0}$$ < $${15.82}$$
✅	docker_dogstatsd_arm64	$${+0}$$	$${37.07}$$ < $${37.94}$$	$${+0}$$	$${14.33}$$ < $${14.83}$$
✅	dogstatsd_deb_amd64	$${+0.01}$$	$${29.98}$$ < $${30.61}$$	$${+0}$$	$${7.93}$$ < $${8.79}$$
✅	dogstatsd_deb_arm64	$${+0.01}$$	$${28.14}$$ < $${29.11}$$	$${+0}$$	$${6.81}$$ < $${7.71}$$
✅	dogstatsd_rpm_amd64	$${+0.01}$$	$${29.98}$$ < $${30.61}$$	$${+0}$$	$${7.94}$$ < $${8.8}$$
✅	dogstatsd_suse_amd64	$${+0.01}$$	$${29.98}$$ < $${30.61}$$	$${+0}$$	$${7.94}$$ < $${8.8}$$
✅	iot_agent_deb_amd64	$${0}$$	$${42.73}$$ < $${43.29}$$	$${+0}$$	$${11.19}$$ < $${12.04}$$
✅	iot_agent_deb_arm64	$${0}$$	$${39.87}$$ < $${40.92}$$	$${+0}$$	$${9.58}$$ < $${10.45}$$
✅	iot_agent_deb_armhf	$${0}$$	$${40.44}$$ < $${41.03}$$	$${+0}$$	$${9.76}$$ < $${10.62}$$
✅	iot_agent_rpm_amd64	$${0}$$	$${42.73}$$ < $${43.29}$$	$${+0}$$	$${11.21}$$ < $${12.06}$$
✅	iot_agent_suse_amd64	$${0}$$	$${42.73}$$ < $${43.29}$$	$${+0}$$	$${11.21}$$ < $${12.06}$$

[cit-pr-commenter]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: c15b49fa-1ac6-480f-aecb-68b663d6c60b

Baseline: d1bd251
Comparison: e982c12
Diff

Optimization Goals: ✅ No significant changes detected

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	docker_containers_cpu	% cpu utilization	+3.67	[+0.54, +6.80]	1	Logs

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	docker_containers_cpu	% cpu utilization	+3.67	[+0.54, +6.80]	1	Logs
➖	quality_gate_metrics_logs	memory utilization	+0.45	[+0.26, +0.65]	1	Logs bounds checks dashboard
➖	quality_gate_idle_all_features	memory utilization	+0.17	[+0.14, +0.21]	1	Logs bounds checks dashboard
➖	file_to_blackhole_1000ms_latency	egress throughput	+0.03	[-0.38, +0.44]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.00	[-0.07, +0.07]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.00	[-0.13, +0.13]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	-0.00	[-0.05, +0.04]	1	Logs
➖	uds_dogstatsd_to_api_v3	ingress throughput	-0.01	[-0.14, +0.13]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	-0.02	[-0.41, +0.37]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.05	[-0.43, +0.32]	1	Logs
➖	otlp_ingest_metrics	memory utilization	-0.08	[-0.23, +0.08]	1	Logs
➖	ddot_metrics_sum_delta	memory utilization	-0.09	[-0.29, +0.12]	1	Logs
➖	file_tree	memory utilization	-0.17	[-0.23, -0.11]	1	Logs
➖	ddot_metrics_sum_cumulativetodelta_exporter	memory utilization	-0.31	[-0.54, -0.08]	1	Logs
➖	ddot_logs	memory utilization	-0.31	[-0.38, -0.24]	1	Logs
➖	quality_gate_idle	memory utilization	-0.44	[-0.48, -0.39]	1	Logs bounds checks dashboard
➖	ddot_metrics_sum_cumulative	memory utilization	-0.44	[-0.60, -0.29]	1	Logs
➖	otlp_ingest_logs	memory utilization	-0.55	[-0.65, -0.45]	1	Logs
➖	ddot_metrics	memory utilization	-0.55	[-0.79, -0.31]	1	Logs
➖	docker_containers_memory	memory utilization	-0.68	[-0.76, -0.61]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	-0.78	[-0.83, -0.72]	1	Logs
➖	quality_gate_logs	% cpu utilization	-2.18	[-3.63, -0.72]	1	Logs bounds checks dashboard
➖	tcp_syslog_to_blackhole	ingress throughput	-3.64	[-3.76, -3.52]	1	Logs

Bounds Checks: ❌ Failed

perf	experiment	bounds_check_name	replicates_passed	links
✅	docker_containers_cpu	simple_check_run	10/10
✅	docker_containers_memory	memory_usage	10/10
✅	docker_containers_memory	simple_check_run	10/10
✅	file_to_blackhole_0ms_latency	lost_bytes	10/10
✅	file_to_blackhole_0ms_latency	memory_usage	10/10
✅	file_to_blackhole_1000ms_latency	lost_bytes	10/10
✅	file_to_blackhole_1000ms_latency	memory_usage	10/10
✅	file_to_blackhole_100ms_latency	lost_bytes	10/10
✅	file_to_blackhole_100ms_latency	memory_usage	10/10
✅	file_to_blackhole_500ms_latency	lost_bytes	10/10
✅	file_to_blackhole_500ms_latency	memory_usage	10/10
✅	quality_gate_idle	intake_connections	10/10	bounds checks dashboard
✅	quality_gate_idle	memory_usage	10/10	bounds checks dashboard
✅	quality_gate_idle_all_features	intake_connections	10/10	bounds checks dashboard
✅	quality_gate_idle_all_features	memory_usage	10/10	bounds checks dashboard
✅	quality_gate_logs	intake_connections	10/10	bounds checks dashboard
✅	quality_gate_logs	lost_bytes	10/10	bounds checks dashboard
✅	quality_gate_logs	memory_usage	10/10	bounds checks dashboard
✅	quality_gate_metrics_logs	cpu_usage	10/10	bounds checks dashboard
✅	quality_gate_metrics_logs	intake_connections	10/10	bounds checks dashboard
✅	quality_gate_metrics_logs	lost_bytes	10/10	bounds checks dashboard
❌	quality_gate_metrics_logs	memory_usage	9/10	bounds checks dashboard

Explanation

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

Performance changes are noted in the perf column of each table:

• ✅ = significantly better comparison variant performance
• ❌ = significantly worse comparison variant performance
• ➖ = no significant change in performance

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

3. Its configuration does not mark it "erratic".

CI Pass/Fail Decision

❌ Failed. Some Quality Gates were violated.

• quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
• quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
• quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
• quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
• quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
• quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
• quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check memory_usage: 9/10 replicas passed. Failed 1 which is > 0. Gate FAILED.
• quality_gate_metrics_logs, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.