Datadog, Friday, October 30th, 2026
How We Use Insights to Improve the Agent Behind Insights
Datadog describes using Insights in Agent Observability to find cost and reliability problems in its own AI agent.
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Datadog — Archive
43 articles
Datadog, Thursday, October 29th, 2026
Trace Voice Agents with Datadog Agent Observability
Datadog Agent Observability can now capture audio in traces for voice agents built on the OpenAI Realtime API, and adds Amazon Nova 2 Sonic tracing.
more → Datadog, Thursday, October 29th, 2026
Detect When Your AI Agent Copies a Self-Replicating Prompt Injection
Datadog tests AI Guard against two self-replicating prompt injection attacks adapted from an OpenAI report and finds it flags both.
more → Datadog, Thursday, October 29th, 2026
Default to Serverless for AI Agents, Then Let Production Data Decide What Moves
Datadog recommends evaluating serverless first for AI agent workloads and using production data to decide which steps need warm or dedicated compute.
more → InfoQ, Thursday, October 29th, 2026
Datadog Builds a Specialist AI Model for SRE Investigations
Datadog released Scout, a specialist model for SRE alert investigations, in closed preview within its Bits Investigation product.
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Datadog, Wednesday, October 28th, 2026
Match Monitoring Depth to Workload Needs with Infrastructure Basic
Datadog Infrastructure Basic offers lightweight host monitoring for lower-priority workloads without full application instrumentation.
more → Datadog, Monday, October 26th, 2026
Monitor Oracle AI Database Across Clouds With Datadog
Datadog adds monitoring for Oracle AI Database on AWS, Azure and Google Cloud, covering performance, migration validation and cost attribution.
more → Datadog, Monday, October 26th, 2026
Best Practices for Scaling A/B Testing With Experiment Protocols
Datadog explains how experiment protocols turn an approved A/B testing methodology into reusable configurations for scaling experiments.
more → Datadog, Thursday, October 22nd, 2026
Optimize AI Costs with Agent Observability
Datadog Agent Observability ties estimated AI spend to the applications and traces that generate it.
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Datadog, Tuesday, October 20th, 2026
Beyond Container Image Signing: How We Enforce Software Supply Chain Policies at Datadog
Datadog describes Turnstile, its internal system that enforces software supply chain policies at deployment time.
more → Datadog, Thursday, October 15th, 2026
Monitor the Performance of Critical Steps in User Journeys with RUM Operations
Datadog RUM adds Operations Monitoring at no extra cost to track whether critical app steps succeed and how long they take.
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Datadog, Thursday, October 15th, 2026
Introducing Scout 1.0: A New SRE Model Powering Bits AI with Frontier Performance at a Fraction of the Cost
Datadog launches Scout 1.0, its first AI model specialized for investigating production issues, powering Bits AI SRE.
more → Datadog, Thursday, October 15th, 2026
How Kubernetes DRA Can Improve GPU Utilization and Cut Costs
Datadog explains how Kubernetes Dynamic Resource Allocation can consolidate workloads onto fewer GPUs and lower spend.
more → Datadog, Tuesday, October 13th, 2026
How Datadog Defines Service Criticality at Scale
Datadog explains how it classifies thousands of internal services by criticality to focus deployment and reliability work.
more → Security Boulevard, Saturday, October 10th, 2026
Cyber Talk 16, Datadog: From the Alarm System to the Building Manager
A strategy profile of Datadog's evolution from monitoring tool to unified observability platform moving into AI-driven remediation.
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Datadog, Friday, October 9th, 2026
Unify Data Across Datadog BYOC with Cross-Cluster Queries for Teams and AI Agents
Datadog BYOC adds cross-cluster queries so teams and AI agents can search data across regional deployments at once.
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Datadog, Thursday, October 8th, 2026
Define User Actions on Your Web App with Visual Labeling in Product Analytics
Datadog's Visual Labeler lets teams name web app user actions in Product Analytics without code or new deployments.
more → Datadog, Wednesday, October 7th, 2026
How We Replaced Our Host Vulnerability Scanner with the Datadog Agent
Datadog moved internal host vulnerability scanning to its own Agent, keeping scan freshness above 99%.
more → Datadog, Tuesday, October 6th, 2026
Ship Faster, Improve Reliability, and Control CI Costs with Datadog CI/CD Optimization
Datadog CI/CD Optimization correlates pipeline, test and runner data to cut CI wait times, flaky failures and compute costs.
more → Datadog, Monday, October 5th, 2026
Process and Route Critical Security Logs to Exabeam with Observability Pipelines
Datadog Observability Pipelines adds Exabeam packs to filter and route high-signal security logs to the Exabeam SIEM.
more → Datadog, Friday, October 2nd, 2026
The First 72 Hours of a Ransomware Attack: Why Restored Isn't Recovered
Datadog walks through a ransomware attack's first 72 hours and why restoring servers differs from recovering the business.
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Datadog, Friday, October 2nd, 2026
Monitor Databricks with Datadog
Datadog shows how its Databricks integration monitors jobs, clusters, data quality, Model Serving endpoints and costs in one place.
more → Datadog, Friday, October 2nd, 2026
Databricks' Native Monitoring Resources
Datadog explains how to collect Databricks and Spark telemetry using system tables, the Spark UI, job notifications and the REST API.
more → Datadog, Thursday, October 1st, 2026
Block Malicious Packages Across Your Organization with Supply Chain Firewall and Code Security
Datadog Code Security now manages its open-source Supply Chain Firewall centrally, with allowlists, blocklists and a CI GitHub action.
more → Datadog, Thursday, October 1st, 2026
Monitor Warehouse Data Quality Beyond Pipeline Health
Datadog explains why successful pipeline runs don't guarantee good data and how to monitor warehouse data quality at rest.
more → Datadog, Thursday, October 1st, 2026
How We Extended Apache DataFusion to Execute One Query Across Many Machines
Datadog engineers explain Distributed DataFusion, an open-source framework that scales Apache DataFusion queries across machines.
more → datadog, Friday, September 25th, 2026
Extend Datadog RUM and Product Analytics to Shopify and Salesforce
Datadog extended RUM and Product Analytics to monitor Shopify checkout journeys and Salesforce Experience Cloud customer experiences.
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datadog, Thursday, September 24th, 2026
Using TypeSafe's Jev for Evals in Datadog Agent Observability
Datadog described wiring TypeSafe's Jev model into online evals on live spans and offline evals in Datadog experiments using one rubric.
more → datadog, Wednesday, September 23rd, 2026
Teaching a 9B Model to Investigate Production Alerts
Datadog fine-tuned a 9B-parameter Qwen3.5 model to investigate production alerts, matching most of GLM-5.3's accuracy far more cheaply.
more → datadog, Wednesday, September 23rd, 2026
Find Answers in Your Logs Faster with Datadog's Tap to Parse
Datadog's new Tap to Parse feature extracts searchable fields from unstructured logs across Log Explorer and Observability Pipelines.
more → datadog, Tuesday, September 22nd, 2026
Cut AI Agent Cost and Improve Accuracy with Code Execution in the Datadog MCP Server
Datadog added a Code Execution toolset to its MCP Server, cutting AI agent tool calls and context use in multisignal investigations.
more → datadog, Monday, September 21st, 2026
Understand the Top Paths Users Take to Convert or Drop Off with Journey Paths
Datadog's new Journey Paths feature in Product Analytics shows the top paths users take to convert or drop off between funnel steps.
more → datadog, Friday, September 18th, 2026
Enforce Custom Rules in Datadog IaC Security Scanning
Datadog adds custom rule authoring to its infrastructure-as-code security scanning.
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datadog, Wednesday, September 16th, 2026
Transform and Route Security Logs to Microsoft Sentinel Tables Using Observability Pipelines
Datadog Observability Pipelines Packs map security logs to Microsoft Sentinel schemas and control ingest volume.
more → datadog, Wednesday, September 16th, 2026
From Alert to Resolution: Manage Incidents with Bits Chat in Slack
Datadog's Bits Chat brings incident investigation, collaboration and code fixes into Slack.
more → datadog, Tuesday, September 15th, 2026
How to Operate Shared Platforms Safely at Agent Scale
Datadog explains modeling agent demand and allocating capacity as AI agent workloads scale on shared platforms.
more → datadog, Tuesday, September 15th, 2026
Monitor TAS and Gang Scheduling for AI Training in Kubernetes
Datadog correlates Kueue, coscheduling, GPU and framework signals to validate Kubernetes AI training scheduling.
more → datadog, Tuesday, September 15th, 2026
Manage Cursor Costs with Datadog Cloud Cost Management
Datadog Cloud Cost Management now breaks down Cursor AI coding spend by user and model.
more → Datadog, Friday, September 11th, 2026
Understanding NetFlow Duplication: Why It Happens, and How to Deduplicate
A technical explanation of why NetFlow records duplicate across devices and how to deduplicate them correctly.
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Datadog, Friday, September 11th, 2026
Analyze Your Experiments in ChatGPT With the Datadog Experiments Plugin
An OpenAI Data plugin lets teams read, question and act on experiment results directly inside ChatGPT.
more → Datadog, Thursday, September 10th, 2026
How We Built Datadog Experiments
CUPED on percentiles, verifiable warehouse results and near real-time RUM metrics shorten result-to-decision time.
more → Datadog, Wednesday, September 9th, 2026
How We Built Data-Driven AI Golden Paths at Datadog
An internal guild achieved 13 percent faster agent runs by building golden paths with controls, experiments and dashboards.
more → Datadog, Tuesday, September 8th, 2026
Coordinate Product Launches With Datadog
Turning a product brief and a feature flag into a connected workflow for instrumentation, QA and reporting.
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