{"collection":{"slug":"observability","name":"Observability & Monitoring"},"digest":{"id":"cwd_4uSWVtlLLdDyxqsSN3h7X","weekStart":"2026-10-12","title":"Security patches, AI SRE models, and agent-aware tracing","intro":"Datadog patched a tracing security vulnerability across its Python SDKs and launched Scout 1.0, an AI model built to investigate incidents, while Sentry modernized its bundler plugins and added native-module and navigation insights for mobile apps.","body":"### Security and safeguards under the tracing hood\n\nThe week's most serious thread ran through Datadog's tracing libraries. A security vulnerability in tracing, described in GHSA-3633-r77q-h3v3, got patched in [dd-trace-py's stable line](/release/rel_ZgovG60PjhOZld0SSQ0yE-datadog-apm-4-16-0-patches-tracing-security-vulnerability-and-fixes-ai-guard), which also closed a quiet evaluation gap in AI Guard: LangChain model responses were never checked for unsafe output, so they were neither reported nor blocked. The release candidate that preceded it [stopped AI Guard credentials from leaking](/release/rel_Y2g1u-mG8OYliZjm6BCBF-datadog-dd-trace-py-4-16-0rc2-patches-tracing-security-vulnerability) into debug logs, exception messages, and span error tags along the way. Both stabilized and extended the Python SDK with tracing stats cardinality limits, Trio trace-context support, Azure Durable Functions tracing, and LLM Observability sampling rules. On the JavaScript side, [dd-trace-js picked up the same Test Optimization work](/release/rel_LKqJ9mK7jAxRwiDYMuz7z-datadog-dd-trace-js-6-21-0-adds-webdriverio-failure-video-uploads) on its 6.x line — WebdriverIO failure videos and Cypress suite TIA skip counts — plus per-trace snapshot sampling for Dynamic Instrumentation and a fix so LLM Observability events reach the Lambda extension before the sandbox freezes; the [5.x maintenance line](/release/rel_my5dQIh28hZ2Rw1ExvpnJ-datadog-dd-trace-js-v5-132-0-adds-webdriverio-failure-videos-and-cypress-tia) carries the identical changes for teams still on the older major.\n\nElsewhere in Datadog's stack, the [Agent locked down Private Action Runner Kubernetes access](/release/rel_KsDbgZVLQJgjmXW--cRoS-datadog-agent-7-84-3-restricts-private-action-runner-kubernetes-api-access-by) by default, requiring an explicit allowlist of custom resources, and stopped overwriting customized script configuration on upgrades — plus a small but welcome fix for NVML's packed bit-error-rate encoding, which had been reporting 4095 for perfectly healthy GPU links. The [Browser SDK turned its attention to WebSockets](/release/rel_Rtaz_6sgfnlgOV3_qvrYc-rum-browser-sdk-v7-16-0-collects-websocket-vitals-and-adds-probe-rum-actions), collecting vitals for them and firing a point-in-time RUM action on the first hit of browser and EXIT probes.\n\n### Datadog's AI SRE gets its own model\n\nThe headline launch was [Scout 1.0](/release/rel_i2kabYN67_CUQ_1WPz59u-datadog-launches-scout-1-0-an-sre-specialized-model-powering-bits-investigation), Datadog's first AI model trained specifically for investigating production issues, now powering Bits Investigation. Trained with reinforcement learning over historical incidents and telemetry simulations, Scout is a cost play as much as an accuracy one: Datadog claims its medium mode matches top-tier general models at a fraction of the inference cost, making it cheap enough to run investigations far earlier in an incident. Two follow-on posts rounded out the week: [RUM Operations Monitoring](/release/rel_dHBo_2pYmsixzesLQv6sr-datadog-launches-rum-operations-monitoring-for-critical-user-journey-steps), free with RUM, lets teams instrument application-controlled steps like \"process payment\" with their own availability and latency SLOs, and Datadog shared [how it judges service criticality across roughly 6,000 internal services](/release/rel_sAyK4HU0X61L-Q5-9m1wg-datadog-shares-how-it-classifies-internal-service-criticality-at-6-000-service) by blending postmortem history, error traces, traffic, and on-call data. For the infrastructure-minded, there's a [walkthrough of how Kubernetes DRA lifts GPU utilization](/release/rel_6GWVYz9ldqFtuPeT5NEMG-datadog-explains-how-kubernetes-dra-improves-gpu-utilization-and-cuts-costs) past the limits of the legacy device plugin model.\n\n### Sentry's plugins, mobile, and Python surface all shift\n\nSentry's biggest structural change was [releasing its bundler plugins from the SDK repo](/release/rel_La7YOsuGvElxDgj3yKdPt-sentry-javascript-11-8-0-ships-bundler-plugins-from-sdk-repo-requires-node-20-19), which jumps their version from 5.4.1 to the SDK's and raises the floor to Node 20.19. New projects should import the re-exported `@sentry/bundler-plugins` entry point. The surrounding releases added [Cloudflare cron monitoring and Neon DB spans](/release/rel_Wucie3H5sGZkL8sOl6ucf-sentry-javascript-11-7-0-adds-cloudflare-cron-monitoring-and-neon-db-spans), and quieted a duplicate process session that Node servers were sending once request sessions were tracked. Mobile got attention too: the [React Native SDK records Turbo Module calls](/release/rel_TjPOi_tMqe-AUU1XMEAE0-sentry-react-native-sdk-8-30-0-adds-turbo-module-insights), capturing which native module and method were live at a native crash, and the [Android SDK began experimental Jetpack Navigation 3 support](/release/rel_A_h_xCM5tkDIJf9j-FzMo-sentry-android-sdk-8-60-0-adds-experimental-jetpack-navigation-3-support) via `SentryNavEffect`. On the server side, [Sentry Python deprecated send_default_pii and transaction profiling](/release/rel_Du5H5fXpowwdgncF2LX3X-sentry-python-2-72-0-deprecates-send-default-pii-and-transaction-profiling) and added localhost and user-agent attributes for inbound filters. In the product itself, [Explore > Agents can now sort and filter conversations](/release/rel_RzeUVoBs-4BtaEqBMKV35-sentry-agents-now-sort-and-filter-conversations-by-cost-tokens-and-tool-calls) by whole-conversation cost, tokens, tool calls, and errors.\n\n### Labels and a quieter Axiom release\n\nAxiom shipped [labels for organizing resources](/release/rel_J-Aul8AaQV2wPHq-AnZNZ-axiom-adds-labels-to-organize-datasets-dashboards-monitors-and-notifiers): assign colored tags like `env=production` or `team=platform` to datasets, dashboards, monitors, and notifiers, filter lists by ANY or ALL matches, and let the MCP server surface that context to agents so they know which service, environment, and owner a resource belongs 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Kubernetes DRA improves GPU utilization and cuts costs","path":"/release/rel_6GWVYz9ldqFtuPeT5NEMG-kubernetes-dra-guide-for-gpu-utilization","url":"https://www.datadoghq.com/blog/how-kubernetes-dra-can-improve-gpu-utilization-and-cut-costs/","org":{"slug":"datadog","name":"Datadog","avatarUrl":"https://media.releases.sh/orgs/datadog.png","githubHandle":"DataDog"},"product":null,"importance":2,"composition":null,"publishedAt":"2026-10-15T00:00:00.000Z"},{"id":"rel_La7YOsuGvElxDgj3yKdPt","title":"Sentry JavaScript 11.8.0 ships bundler plugins from SDK repo, requires Node 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safeguards under the tracing hood","anchor":"security-and-safeguards-under-the-tracing-hood","lede":"The week's most serious thread ran through Datadog's tracing libraries.","releaseIds":["rel_ZgovG60PjhOZld0SSQ0yE","rel_Y2g1u-mG8OYliZjm6BCBF","rel_LKqJ9mK7jAxRwiDYMuz7z","rel_my5dQIh28hZ2Rw1ExvpnJ","rel_KsDbgZVLQJgjmXW--cRoS","rel_Rtaz_6sgfnlgOV3_qvrYc"],"releases":[{"id":"rel_ZgovG60PjhOZld0SSQ0yE","title":"Datadog APM 4.16.0 patches tracing security vulnerability and fixes AI Guard evaluation 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