Datadog 在 2026年9月 发布的内容

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 and performance monitoring for Python a…

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 Salesforce Experience Cloud. The move exp…

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 Datadog experiments using a single rubric. …

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. This decouples configuration changes from …

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 investigation cost. This update enhances D…

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 Observability Pipelines. This aims to sim…

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 and less model context. This update targe…

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 friction between funnel steps. This tool target…

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 organizations to enforce organization-specific …

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 within Slack. The feature integrates Dat…

Transform and route security logs to Microsoft Sentinel tables using Observability Pipelines

Datadog introduced Observability Pipelines Packs to transform and route security logs to Microsoft Sentinel tables, enabling schema mapping and ingest volume control. This integration streamlines log …

Manage Cursor costs with Datadog Cloud Cost Management

Datadog launched a new integration with Cursor, enabling users to analyze AI coding spend by user and model, detect unexpected cost changes, and manage these costs alongside existing cloud and SaaS sp…

Pricing change detected for Datadoghq

Pricing updated for Datadoghq: - New tier: AI Credits - On-Demand ($1.30/mo per credit) - New tier: AI Credits - Annual (Custom pricing) - New tier: Code Coverage - On-Demand ($12/mo — promo: Multi-Ye…

Pricing updated for Datadoghq: - New tier: AI Credits (On-Demand) ($1.30/mo per credit) - New tier: AI Credits (Annual) (Custom pricing) - New tier: Code Coverage (On-Demand) ($12/mo) - New tier: Code

Pricing updated for Datadoghq: - Log Management (Standard Indexing): annual price $2.13/mo → $2.125/mo - Log Management (Flex Storage): annual price $0.063/mo → $0.0625/mo - Feature Flags: allowance c

Pricing updated for Datadoghq: - New tier: AI Credits ($1.30/mo per credit ($1.08/mo annually)) - New tier: Code Coverage ($12/mo ($10/mo annually)) - New tier: Log Management (Ingest) ($0.10/mo per G

Pricing updated for Datadoghq: - Infrastructure - Free: allowance changed from Up to 5 hosts to 5 hosts - New tier: AI Credits ($1.30/mo per credit ($1.08/mo annually, 17% off)) - New tier: Code Cover

Pricing updated for Datadoghq: - Infrastructure - Free: allowance changed from 5 hosts to Up to 5 hosts - New tier: AI Credits - On-Demand ($1.30/mo per credit) - New tier: AI Credits - Annual (Custom

Monitor prompt caching to optimize your token usage

Datadog introduced a new feature to monitor prompt caching, enabling users to track and optimize token usage in their AI applications. This helps reduce costs and improve efficiency by identifying red…