How we replaced our host vulnerability scanner with the Datadog Agent
Datadog Blog Learn how Datadog evaluated Agent-based host vulnerability scanning, compared detection results, and preserved coverage and audit reporting during the migration.
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Datadog Blog
Stories with reporting from Datadog Blog, ranked by what is gaining ground now. Each story links to the original articles.
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Image: Datadog Blog Ship faster, improve reliability, and control CI costs with Datadog CI/CD Optimization
Datadog Blog Learn how Datadog CI/CD Optimization helps teams ship faster with shorter CI feedback loops, reliable builds, and controlled compute costs.
Image: Datadog Blog Process and route critical security logs to Exabeam with Observability Pipelines
Datadog Blog Learn how Observability Pipelines Packs reduce security log volume before data reaches Exabeam while preserving parser compatibility.
Image: Datadog Blog The first 72 hours of a ransomware attack: Why restored isn’t recovered
Datadog Blog Restoring servers isn’t the same as recovering the business. Plan ransomware recovery and use AI-assisted investigation to detect attacks sooner.
Image: Datadog Blog Key metrics for monitoring Databricks
Datadog Blog Learn about key metrics for monitoring the health, performance, and costs of Databricks data engineering, analytics, and Model Serving workloads.
Image: Datadog Blog Databricks’ native monitoring resources
Datadog Blog Learn how to collect Databricks and Spark telemetry with system tables, the Databricks and Spark UIs, job notifications, and the Databricks REST API.
Image: Datadog Blog Monitor Databricks with Datadog
Datadog Blog Learn how to monitor the performance, data quality, and costs of your Databricks analytics and AI/ML workloads with Datadog.
Image: Datadog Blog How we extended Apache DataFusion to execute one query across many machines
Datadog Blog Learn how Datadog built Distributed DataFusion to scale interactive Apache DataFusion queries across multiple machines.
Image: Datadog Blog Block malicious packages across your organization with Supply Chain Firewall and Datadog Code Security
Datadog Blog Datadog Code Security now supports Supply Chain Firewall, adding central management with allowlists, blocklists, and retroactive scanning of installed packages.
Image: Datadog Blog Monitor warehouse data quality beyond pipeline health
Datadog Blog Learn how to monitor warehouse data quality at rest, detect issues that happen even when pipelines succeed, and trace issues to their source.
Image: Datadog Blog How we built an async-aware Python profiler
Datadog Blog Learn how we made Python profiling async-aware while reducing profiler overhead and preserving context across asyncio tasks.
Image: Datadog Blog Extend Datadog RUM and Product Analytics to Shopify and Salesforce
Datadog Blog Use Datadog RUM and Product Analytics to monitor checkout journeys on Shopify and customer experiences in Salesforce Experience Cloud.
Image: Datadog Blog Using TypeSafe’s Jev for evals in Datadog Agent Observability
Datadog Blog See how we wired Jev into online evals on live spans and offline evals inside Datadog experiments, using a single rubric for both.
Configure RUM SDKs remotely from Datadog
Datadog Blog Use RUM Remote Configuration to change SDK sampling rates, privacy settings, and data collection independently of your release cycle.
Find answers in your logs faster with Datadog’s Tap to Parse
Datadog Blog Use Datadog’s Tap to Parse feature to extract searchable fields from unstructured logs across Log Explorer, Log Pipelines, and Observability Pipelines.
Teaching a 9B model to investigate production alerts
Datadog Blog 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.
Cut AI agent cost and improve accuracy with Code Execution in the Datadog MCP Server
Datadog Blog 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%.
When users don’t click thumbs up: Inferring agent feedback from Datadog telemetry
Datadog Blog Learn how we used weak labeling to infer user satisfaction from Datadog telemetry when agent users don’t click thumbs up.
Understand the top paths users take to convert or drop off with Journey Paths
Datadog Blog Use Journey Paths in Datadog Product Analytics to quantify how users convert, investigate drop-offs, and find friction between funnel steps.
Enforce custom rules in Datadog IaC Security scanning
Datadog Blog Create, test, and publish custom IaC Security rules in Datadog to detect organization-specific policy violations before deployment.
