{"company":{"id":"datadog","name":"Datadog","homepage":"https://www.datadoghq.com/"},"generated_at":"2026-10-19T11:58:40.910Z","sources":[{"id":"datadog:feed","label":"Datadog blog","kind":"Announcement","url":"https://www.datadoghq.com/blog/index.xml","last_checked":"2026-10-19T04:55:43.888Z","last_success":"2026-10-19T04:55:43.888Z","error":null,"state":"ok"}],"social":[],"daily":[{"day":"2026-10-19","company":"datadog","material":false,"item_ids":[],"latest_change_at":0,"text":"No material verified update from Datadog's official sources on 2026-10-19 (UTC). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[],"generated_at":"2026-10-19T11:58:40.910Z"},{"day":"2026-10-18","company":"datadog","material":false,"item_ids":[],"latest_change_at":0,"text":"No material verified update from Datadog's official sources on 2026-10-18 (UTC). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[],"generated_at":"2026-10-19T11:58:40.910Z"},{"day":"2026-10-17","company":"datadog","material":false,"item_ids":[],"latest_change_at":0,"text":"No material verified update from Datadog's official sources on 2026-10-17 (UTC). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[],"generated_at":"2026-10-19T11:58:40.910Z"},{"day":"2026-10-16","company":"datadog","material":false,"item_ids":[],"latest_change_at":0,"text":"No material verified update from Datadog's official sources on 2026-10-16 (UTC). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[],"generated_at":"2026-10-19T11:58:40.910Z"},{"day":"2026-10-15","company":"datadog","material":true,"item_ids":["track:f7752fa396a16ecf71b33931","track:8503ff490c2e697e792f0ab1","track:499c721fd9647e6708927759"],"latest_change_at":1792022400000,"text":"Datadog published 3 official updates on 2026-10-15 (UTC): How Kubernetes DRA can improve GPU utilization and cut costs (Datadog blog); Monitor the performance of critical steps in user journeys with RUM operations (Datadog blog); Introducing Scout 1.0: A new SRE model powering Bits AI with frontier performance at a fraction of the cost (Datadog blog). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[{"title":"How Kubernetes DRA can improve GPU utilization and cut costs","url":"https://www.datadoghq.com/blog/how-kubernetes-dra-can-improve-gpu-utilization-and-cut-costs/","source":"Datadog blog"},{"title":"Monitor the performance of critical steps in user journeys with RUM operations","url":"https://www.datadoghq.com/blog/rum-operations-monitoring/","source":"Datadog blog"},{"title":"Introducing Scout 1.0: A new SRE model powering Bits AI with frontier performance at a fraction of the cost","url":"https://www.datadoghq.com/blog/ai/introducing-scout-sre-specialized-model-bits-ai/","source":"Datadog blog"}],"generated_at":"2026-10-19T11:58:40.910Z"},{"day":"2026-10-14","company":"datadog","material":false,"item_ids":[],"latest_change_at":0,"text":"No material verified update from Datadog's official sources on 2026-10-14 (UTC). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[],"generated_at":"2026-10-19T11:58:40.910Z"},{"day":"2026-10-13","company":"datadog","material":true,"item_ids":["track:b4fab4cfbd49ea198065dfa8"],"latest_change_at":1791849600000,"text":"Datadog published 1 official update on 2026-10-13 (UTC): How Datadog defines service criticality at scale (Datadog blog). Covers Datadog's official Datadog blog. It does not cover social posts or independent reporting.","links":[{"title":"How Datadog defines service criticality at scale","url":"https://www.datadoghq.com/blog/how-datadog-defines-service-criticality-at-scale/","source":"Datadog blog"}],"generated_at":"2026-10-19T11:58:40.910Z"}],"items":[{"id":"track:f7752fa396a16ecf71b33931","title":"How Kubernetes DRA can improve GPU utilization and cut costs","url":"https://www.datadoghq.com/blog/how-kubernetes-dra-can-improve-gpu-utilization-and-cut-costs/","summary":"Learn how Kubernetes Dynamic Resource Allocation raises GPU utilization, and what to watch to confirm it’s actually reducing your GPU costs.","source":"Datadog blog","category":"announcement","published_at":"2026-10-15T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:8503ff490c2e697e792f0ab1","title":"Monitor the performance of critical steps in user journeys with RUM operations","url":"https://www.datadoghq.com/blog/rum-operations-monitoring/","summary":"Learn how RUM Operations Monitoring helps you track the performance of application steps, investigate degradations, and connect operations to user journeys.","source":"Datadog blog","category":"announcement","published_at":"2026-10-15T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:499c721fd9647e6708927759","title":"Introducing Scout 1.0: A new SRE model powering Bits AI with frontier performance at a fraction of the cost","url":"https://www.datadoghq.com/blog/ai/introducing-scout-sre-specialized-model-bits-ai/","summary":"Scout 1.0 is Datadog’s first AI model specialized for investigating production issues while achieving a better price-performance curve on our target scenarios when compared with general-purpose frontier models.","source":"Datadog blog","category":"announcement","published_at":"2026-10-15T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:b4fab4cfbd49ea198065dfa8","title":"How Datadog defines service criticality at scale","url":"https://www.datadoghq.com/blog/how-datadog-defines-service-criticality-at-scale/","summary":"Learn how Datadog classifies internal services by criticality using incident history, APM traces, monitor data, and traffic signals.","source":"Datadog blog","category":"announcement","published_at":"2026-10-13T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:d2946e18e60c790369afab6d","title":"Unify data across Datadog BYOC with cross-cluster queries for teams and AI agents","url":"https://www.datadoghq.com/blog/byoc-cross-cluster-queries/","summary":"Use cross-cluster queries in Datadog BYOC Logs to investigate incidents across regions and business units without centralizing stored logs.","source":"Datadog blog","category":"announcement","published_at":"2026-10-09T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:6b423c08419070d71e0ceec1","title":"Run incident response in your FedRAMP High environment","url":"https://www.datadoghq.com/blog/fedramp-high-incident-response/","summary":"Run paging, incident coordination, and response automation for sensitive federal workloads with Datadog Incident Response.","source":"Datadog blog","category":"announcement","published_at":"2026-10-08T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:a1ba8219b45828c8d2860f2f","title":"Define user actions on your web app with visual labeling in Product Analytics","url":"https://www.datadoghq.com/blog/product-analytics-visual-labeling/","summary":"Learn how to label autocaptured web actions in Datadog Product Analytics without code changes, then reuse those definitions across behavioral analysis.","source":"Datadog blog","category":"announcement","published_at":"2026-10-08T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:36d6fd27f6703dda29ee2879","title":"How we replaced our host vulnerability scanner with the Datadog Agent","url":"https://www.datadoghq.com/blog/how-we-replaced-our-host-vulnerability-scanner-with-the-datadog-agent/","summary":"Learn how Datadog evaluated Agent-based host vulnerability scanning, compared detection results, and preserved coverage and audit reporting during the migration.","source":"Datadog blog","category":"announcement","published_at":"2026-10-07T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:217af3d453c940f5259f2b6c","title":"Ship faster, improve reliability, and control CI costs with Datadog CI/CD Optimization","url":"https://www.datadoghq.com/blog/ci-cd-optimization/","summary":"Learn how Datadog CI/CD Optimization helps teams ship faster with shorter CI feedback loops, reliable builds, and controlled compute costs.","source":"Datadog blog","category":"announcement","published_at":"2026-10-06T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:5d36fb5f66f1d3472490850a","title":"Process and route critical security logs to Exabeam with Observability Pipelines","url":"https://www.datadoghq.com/blog/observability-pipelines-exabeam-packs/","summary":"Learn how Observability Pipelines Packs reduce security log volume before data reaches Exabeam while preserving parser compatibility.","source":"Datadog blog","category":"announcement","published_at":"2026-10-05T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:3717fc274d5c74a2e95d243b","title":"The first 72 hours of a ransomware attack: Why restored isn’t recovered","url":"https://www.datadoghq.com/blog/the-first-72-hours-of-a-ransomware-attack-why-restored-isnt-recovered/","summary":"Restoring servers isn’t the same as recovering the business. Plan ransomware recovery and use AI-assisted investigation to detect attacks sooner.","source":"Datadog blog","category":"announcement","published_at":"2026-10-02T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:d821a61431254d9aff9a599f","title":"Monitor Databricks with Datadog","url":"https://www.datadoghq.com/blog/how-to-monitor-databricks-with-datadog/","summary":"Learn how to monitor the performance, data quality, and costs of your Databricks analytics and AI/ML workloads with Datadog.","source":"Datadog blog","category":"announcement","published_at":"2026-10-02T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:c85eff829ef7e38833c7a1b7","title":"Databricks’ native monitoring resources","url":"https://www.datadoghq.com/blog/databricks-native-monitoring-resources/","summary":"Learn how to collect Databricks and Spark telemetry with system tables, the Databricks and Spark UIs, job notifications, and the Databricks REST API.","source":"Datadog blog","category":"announcement","published_at":"2026-10-02T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:9108be551f69959a32dc6e3d","title":"Key metrics for monitoring Databricks","url":"https://www.datadoghq.com/blog/key-metrics-for-databricks-monitoring/","summary":"Learn about key metrics for monitoring the health, performance, and costs of Databricks data engineering, analytics, and Model Serving workloads.","source":"Datadog blog","category":"announcement","published_at":"2026-10-02T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:c50933a6466f75c313656cd7","title":"Block malicious packages across your organization with Supply Chain Firewall and Datadog Code Security","url":"https://www.datadoghq.com/blog/supply-chain-firewall-code-security/","summary":"Datadog Code Security now supports Supply Chain Firewall, adding central management with allowlists, blocklists, and retroactive scanning of installed packages.","source":"Datadog blog","category":"announcement","published_at":"2026-10-01T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:610e52cde168ab80b3817b32","title":"Monitor warehouse data quality beyond pipeline health","url":"https://www.datadoghq.com/blog/monitor-warehouse-data-quality-beyond-pipeline-health/","summary":"Learn how to monitor warehouse data quality at rest, detect issues that happen even when pipelines succeed, and trace issues to their source.","source":"Datadog blog","category":"announcement","published_at":"2026-10-01T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:c452332170f1fff5ae92c490","title":"How we extended Apache DataFusion to execute one query across many machines","url":"https://www.datadoghq.com/blog/engineering/distributed-datafusion/","summary":"Learn how Datadog built Distributed DataFusion to scale interactive Apache DataFusion queries across multiple machines.","source":"Datadog blog","category":"announcement","published_at":"2026-10-01T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:aa816f7686a802526d40a9b0","title":"How we built an async-aware Python profiler","url":"https://www.datadoghq.com/blog/engineering/async-python-profiler/","summary":"Learn how we made Python profiling async-aware while reducing profiler overhead and preserving context across asyncio tasks.","source":"Datadog blog","category":"announcement","published_at":"2026-09-30T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:ae1b91d3b6ee7eeb961c44a9","title":"Extend Datadog RUM and Product Analytics to Shopify and Salesforce","url":"https://www.datadoghq.com/blog/rum-product-analytics-shopify-salesforce/","summary":"Use Datadog RUM and Product Analytics to monitor checkout journeys on Shopify and customer experiences in Salesforce Experience Cloud.","source":"Datadog blog","category":"announcement","published_at":"2026-09-25T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:f60eb5f7d0705ca1fcb454d4","title":"Using TypeSafe’s Jev for evals in Datadog Agent Observability","url":"https://www.datadoghq.com/blog/jev-evals-agent-observability/","summary":"See how we wired Jev into online evals on live spans and offline evals inside Datadog experiments, using a single rubric for both.","source":"Datadog blog","category":"announcement","published_at":"2026-09-24T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:102f00946388348d7ebfc0a3","title":"Configure RUM SDKs remotely from Datadog","url":"https://www.datadoghq.com/blog/rum-remote-configuration/","summary":"Use RUM Remote Configuration to change SDK sampling rates, privacy settings, and data collection independently of your release cycle.","source":"Datadog blog","category":"announcement","published_at":"2026-09-23T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:a8eb4063805ef1fa2c4f72dd","title":"Find answers in your logs faster with Datadog’s Tap to Parse","url":"https://www.datadoghq.com/blog/tap-to-parse-logs/","summary":"Use Datadog’s Tap to Parse feature to extract searchable fields from unstructured logs across Log Explorer, Log Pipelines, and Observability Pipelines.","source":"Datadog blog","category":"announcement","published_at":"2026-09-23T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:191204e1c001c1d5c1b710c4","title":"Teaching a 9B model to investigate production alerts","url":"https://www.datadoghq.com/blog/ai/investigate-production-alerts/","summary":"Learn how we fine-tuned Qwen3.5-9B into a specialized agent for change attribution that achieved 87% of GLM-5.3’s Recall@5 roughly 5% of the investigation cost.","source":"Datadog blog","category":"announcement","published_at":"2026-09-23T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:067c23a6b6eef86d6aa5a4e3","title":"When users don’t click thumbs up: Inferring agent feedback from Datadog telemetry","url":"https://www.datadoghq.com/blog/agent-feedback-classification-skill/","summary":"Learn how we used weak labeling to infer user satisfaction from Datadog telemetry when agent users don’t click thumbs up.","source":"Datadog blog","category":"announcement","published_at":"2026-09-22T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:013c80bad5894c0b47348a04","title":"Cut AI agent cost and improve accuracy with Code Execution in the Datadog MCP Server","url":"https://www.datadoghq.com/blog/datadog-code-execution/","summary":"Code Execution in the Datadog MCP Server lets AI agents run investigations as code. In evals, it cut input tokens by 73% and raised accuracy from 74% to 90%.","source":"Datadog blog","category":"announcement","published_at":"2026-09-22T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null},{"id":"track:e409ff40c794f6aacafa8826","title":"Understand the top paths users take to convert or drop off with Journey Paths","url":"https://www.datadoghq.com/blog/product-analytics-journey-paths/","summary":"Use Journey Paths in Datadog Product Analytics to quantify how users convert, investigate drop-offs, and find friction between funnel steps.","source":"Datadog blog","category":"announcement","published_at":"2026-09-21T00:00:00.000Z","first_seen_at":"2026-10-16T19:35:52.805Z","same_as":null}],"guth_coverage":[],"limits":"Official sources listed in \"sources\" only. Social posts and independent reporting are not covered."}