Datadog 在 2026年5月 发布的内容

How a unified data model improves feature flag rollout decisions

Monitor LLM routing with the Kubernetes Inference Extension

Deploy Datadog Kubernetes Autoscaling at scale

Monitor Azure Managed Redis with Datadog

Monitor JavaScript framework routing with Datadog RUM

Unified observability for Alibaba Cloud with Datadog

Instrument LangGraph agents with Datadog: a practical guide

How to detect HTTP/2 abuse in Apache web server logs

Investigate funnel drop-offs with Product Analytics

Measure the real impact of AI coding tools on software delivery with Datadog AI Impact

Introducing this year’s new Datadog Ambassadors and the new Datadog Champions program

Improve API authentication detection with Datadog

How to measure developer experience (DevEx) in the AI era

Securing AI agents: Why guardrail placement is a key design decision

Project and manage cloud spend with Datadog budget forecasting

Pricing change detected for Datadoghq

Pricing updated for Datadoghq: - Bits AI SRE Investigations: added annual billing at $500/mo - Feature Flags: new promotion — Usage below 1 million monthly flag configuration requests is included at n…

Pricing updated for Datadoghq: - Bits AI SRE Investigations: promotion changed — Month-to-month plans available at $600 per 20 investigations - Feature Flags: promotion ended (was: Usage below 1 milli

How we made a SQL query optimization agent 59% more accurate using autoresearch and LLM Observability

Reduce CVE noise with OpenVEX assessments in Datadog

How to audit and clean up monitors effectively

Diagnose slow PostgreSQL queries faster with explain plan correlation

Explore Datadog metrics with Natural Language Queries

Pricing updated for Datadoghq: - Bits AI SRE Investigations: promotion changed — Month-to-month plans available at $600 per 20 investigations, per month. On-demand billing at $ per investigation. - Fe

Pricing updated for Datadoghq: - Bits AI SRE Investigations: promotion changed — $600 per 20 investigations - Feature Flags: promotion changed — Usage below 1 million monthly flag configuration reques

Attribute AI costs across providers with Datadog Cloud Cost Management

Simplify micro-frontend observability with Datadog RUM

Toto 2.0: Time series forecasting enters the scaling era

Pricing updated for Datadoghq: - Log Management - Flex Logs Starter: now includes Retention options of 3 months, 6 months, 12 months, and 15 months; Bundled Starter Compute for log volumes below 2B pe

Pricing updated for Datadoghq: - Feature Flags: allowance changed from 1 million MFCRs included at no cost to 1 million included - New tier: Log Management - Ingest ($0.10/mo GB ($0.0833/mo annually))

Pricing updated for Datadoghq: - Feature Flags: promotion changed — Usage below 1 million monthly flag configuration requests is included at no cost. - New tier: Log Ingestion (Standard) ($0.10/mo GB

Pricing updated for Datadoghq: - Feature Flags: promotion changed — Usage below 1 million monthly flag configuration requests is included at no cost. For usage above 1 million requests, pricing is bil

Pricing updated for Datadoghq: - Infrastructure Free: allowance changed from Up to 5 hosts to 5 hosts

Pricing updated for Datadoghq: - Code Coverage: annual price $12/mo → $10/mo - Bits AI SRE Investigations: added annual billing at $500/mo - Feature Flags: annual price $100/mo → $83.33/mo - New tier:

Diagnose and resolve database performance issues faster with Database Investigator

Datadog introduced Database Investigator, an agentic feature in Database Monitoring that automatically identifies root causes and suggests remediation steps for database performance issues. The tool a…

Pricing updated for Datadoghq: - Code Coverage: annual price $10/mo → $12/mo - Bits AI SRE Investigations: promotion changed — Month-to-month plans available at $600 per 20 investigations, per month.

Datadog for Government achieves FedRAMP® High certification

Datadog announced FedRAMP High certification for its government-focused observability platform, enabling sensitive agency workloads with unified monitoring, security, and NIST compliance. This certifi…

Analyze cloud costs with flexible spreadsheets in Datadog Sheets

Datadog launched Datadog Sheets, enabling users to perform spreadsheet-style analyses on live cloud cost data within Cloud Cost Management. This feature allows for flexible, customizable reporting dir…

Pricing updated for Datadoghq: - Code Coverage: promotion ended (was: Billed annually or $12 on-demand) - Code Coverage: annual price $12/mo → $10/mo - Bits AI SRE Investigations: promotion changed —

Pricing updated for Datadoghq: - Code Coverage: new promotion — Billed annually or $12 on-demand - Bits AI SRE Investigations: promotion changed — Billed annually. Month-to-month plans available at $6

Connect triage and investigation in a single workflow with Datadog Cloud SIEM

Inside Datadog’s AI Research Lab: Meet two PhD candidates behind Toto

This Month in Datadog - April 2026

Datadog’s April 2026 update introduces the MCP Server for enhanced integrations, Datadog Experiments for controlled testing, and Bits AI Security Analyst for automated threat detection. These features…

Monitor and optimize Supabase query performance with Datadog Database Monitoring

Datadog Database Monitoring now offers Supabase developers query-level visibility, explain plans, and one-click setup to diagnose performance issues. This integration aims to enhance troubleshooting f…

Welcome to Datadog Docs!

Pricing updated for Datadoghq: - Code Coverage: promotion ended (was: Billed annually or $12 on-demand) - Bits AI SRE Investigations: promotion changed — Month-to-month plans available at $600 per 20

Pricing updated for Datadoghq: - Code Coverage: new promotion — Billed annually or $12 on-demand - Log Management - Ingest: new promotion — Billed annually or $0.10 on-demand - Log Management - Standa

Add dynamically updating context to logs with Reference Tables and Observability Pipelines

Datadog launched Reference Tables and Observability Pipelines to centrally enrich logs before routing to SIEMs or data lakes. This allows pre-processing of log data to add context or metadata, improvi…