Ce que Datadog a publié sur les 30 derniers jours
octobre 2026
- Contentdatadoghq.com
Datadog Technical Training | Foundation Enablement
Datadog launched new technical training sessions covering AI-Powered Observability and Security, Datadog Bits AI, and expanded offerings in APM, Logs, Real User
- Integrationdatadoghq.com
Monitor Databricks with Datadog
Datadog introduced a new integration enabling users to monitor performance, data quality, and costs of Databricks analytics and AI/ML workloads directly within
- Contentdatadoghq.com
The first 72 hours of a ransomware attack: Why restored isn’t recovered
Datadog’s blog post highlights that server restoration alone does not equate to full business recovery during ransomware attacks. It emphasizes the need for ran
- Contentdatadoghq.com
Key metrics for monitoring Databricks
Datadog released a blog post outlining key metrics for monitoring Databricks data engineering, analytics, and Model Serving workloads. The guide aims to help us
- Featuredatadoghq.com
Monitor warehouse data quality beyond pipeline health
Datadog introduced a new capability to monitor data quality at rest in warehouses, identifying issues that persist even when pipelines succeed. The feature enab
- Featuredatadoghq.com
How we extended Apache DataFusion to execute one query across many machines
Datadog introduced Distributed DataFusion, an extension enabling Apache DataFusion queries to run across multiple machines. This addresses scalability challenge
septembre 2026
- Featuredatadoghq.com
How we built an async-aware Python profiler
Datadog introduced an async-aware Python profiler that reduces overhead while preserving context across asyncio tasks. The tool is designed to improve debugging
- Integrationdatadoghq.com
Extend Datadog RUM and Product Analytics to Shopify and Salesforce
Datadog announced integrations enabling its Real User Monitoring (RUM) and Product Analytics to track checkout journeys on Shopify and customer experiences in S
- Featuredatadoghq.com
Using TypeSafe’s Jev for evals in Datadog Agent Observability
Datadog announced the integration of TypeSafe’s Jev into its Agent Observability platform, enabling both online evals on live spans and offline evals within Dat
- Featuredatadoghq.com
Configure RUM SDKs remotely from Datadog
Datadog introduced RUM Remote Configuration, enabling teams to adjust SDK sampling rates, privacy settings, and data collection remotely without app updates. Th
- Featuredatadoghq.com
Teaching a 9B model to investigate production alerts
Datadog fine-tuned the Qwen3.5-9B model into a specialized agent for production alert investigation, achieving 87% of GLM-5.3’s Recall@5 at roughly 5% of the in
- Featuredatadoghq.com
Find answers in your logs faster with Datadog’s Tap to Parse
Datadog introduced Tap to Parse, a feature enabling users to extract searchable fields from unstructured logs directly within Log Explorer, Log Pipelines, and O
- Featuredatadoghq.com
Cut AI agent cost and improve accuracy with Code Execution in the Datadog MCP Server
Datadog introduced Code Execution in its MCP Server to reduce AI agent costs and improve accuracy by enabling multisignal investigations with fewer tool calls a
- Featuredatadoghq.com
Understand the top paths users take to convert or drop off with Journey Paths
Datadog introduced Journey Paths in its Product Analytics suite, enabling teams to quantify user conversion paths, identify drop-off points, and analyze frictio
- Featuredatadoghq.com
Enforce custom rules in Datadog IaC Security scanning
Datadog introduced the ability to create, test, and publish custom Infrastructure-as-Code (IaC) Security rules directly within its platform. This allows organiz
- Featuredatadoghq.com
From alert to resolution: Manage incidents with Bits Chat in Slack
Datadog introduced Bits Chat in Slack, enabling teams to investigate incidents, collaborate with responders, make code fixes, and track follow-up work directly
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