Datadog, Friday, November 6th, 2026
How We Investigated Prompt Cache Misses with Datadog
Datadog used Cloud Cost Management and Agent Observability to find why its internal AI apps were missing LLM prompt caches.
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10 articles that week
Datadog, Friday, November 6th, 2026
Datadog used Cloud Cost Management and Agent Observability to find why its internal AI apps were missing LLM prompt caches.
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Datadog, Thursday, November 5th, 2026
Datadog recaps Oracle AI World 2026, including Oracle's OpenAI collaboration, multicloud databases, and FedRAMP plans.
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Datadog, Thursday, November 5th, 2026
Datadog built FETCh to continuously validate production behavior against TLA+ specifications, uncovering a year-old bug in Husky.
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Datadog, Tuesday, November 3rd, 2026
Datadog explains how its Translate and Import tools help migrate Splunk SPL queries, alerts and dashboards into Datadog Log Management.
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Datadog, Tuesday, November 3rd, 2026
Datadog Online Experiments in Agent Observability lets teams test AI agent changes against live production traffic.
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Datadog, Monday, November 2nd, 2026
Datadog Agent Observability now supports Fireworks AI as a model provider for LLM-as-a-judge evaluations and Playground experiments.
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Datadog, Monday, November 2nd, 2026
Datadog's Prompt Management in Agent Observability lets teams version, deploy and monitor LLM prompts independently of application releases.
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Datadog, Monday, November 2nd, 2026
The Datadog C++ SDK extends Datadog RUM to native C and C++ apps on Windows, macOS and Linux with crash reporting and user session context.
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Datadog, Monday, November 2nd, 2026
Datadog's RUM Managed Archive stores all ingested user sessions and lets teams recover specific ones on demand.
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Datadog, Monday, November 2nd, 2026
Datadog's Electron SDK extends Real User Monitoring to the Node.js main process of Electron desktop apps.
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