Datadog | The Monitor blog

Monitor AWS Lambda Managed Instances with Datadog

This article details how to use remote instrumentation to gain deeper insights into the performance and behavior of AWS Lambda functions *without* modifying application code. By le…

Gain visibility into Strands Agents workflows with Datadog LLM Observability

This article details how to use Datadog's LLM Observability tools to monitor and troubleshoot Amazon Bedrock-powered agents. It explains how to track key metrics like token usage, …

Datadog LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions

This Datadog article highlights the importance of tracing requests through Large Language Models (LLMs) to pinpoint performance bottlenecks and quality issues. By annotating these …

Track, compare, and optimize your LLM prompts with Datadog LLM Observability

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Manage metric volume and tags in your environment with Observability Pipelines

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Manage all your OpenTelemetry collectors with Datadog Fleet Automation

Datadog Fleet Automation simplifies managing and scaling infrastructure and applications by providing a centralized platform for configuration and monitoring. It allows users to de…

Gain end-to-end visibility into MCP clients with Datadog LLM Observability

Datadog's LLM Observability tools help users monitor and improve the performance of their Large Language Model (LLM) prompts. It allows for tracking prompt usage, comparing differe…

Trace exposure routes between resources with Datadog Cloud Security

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Turn feedback into action across your engineering org with Datadog Forms

The Datadog App Builder allows developers to easily create and share custom, self-service applications directly within the Datadog platform. This streamlines workflows by providing…

Rehydrate archived logs in any SIEM or logging vendor with Observability Pipelines

Please provide the article! I need the text of the article "Explore Kubernetes with native OpenTelemetry data" to be able to summarize it for you. Just paste the article content …

Define, run, and scale custom LLM-as-a-judge evaluations in Datadog

Datadog's LLM Observability tools help users monitor and improve the performance of their Large Language Model (LLM) prompts. It allows tracking key metrics like cost, latency, and…

Build custom apps in seconds with conversational AI in App Builder

Datadog has launched an AI assistant that helps users rapidly build custom workflows and applications within the platform. This tool allows users to describe desired functionality …