- Featuredatadoghq.com
How we cut our NLQ agent debugging time from hours to minutes with LLM Observability
Learn how Datadog uses LLM Observability internally to build and test a natural language querying agent for Cloud Cost Management, so that teams can easily ask questions in plain English to instantly …
- datadoghq.com
Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring
Automatically collect execution plans to help you find the root cause of your query issues.
- datadoghq.com
Datadog acquires Propolis
Datadog has acquired Propolis, a platform for autonomous, user goal–oriented QA testing.
- datadoghq.com
Unify and correlate frontend and backend data with retention filters
Learn how Datadog’s RUM x APM cross-product retention filters can help you troubleshoot and resolve user-experience issues faster.
- Featuredatadoghq.com
Scale compliance across global frameworks with Datadog Cloud Security
Datadog Cloud Security supports an expanded list of global and industry-specific compliance frameworks, making it easier to measure posture and act on misconfigurations.
Datadog 在 2026年1月 发布了 5 项受追踪的更新。 较 2025年12月 增长 150%。 主要主题是 feature updates(2)。 活动主要集中在 2026年1月26日 那一周。 亮点:“How we cut our NLQ agent debugging time from hours to minutes with LLM Observability”(2026年1月30日)。
信号分类 — 2026年1月
2
feature updates
浏览 Datadog 的其他月份