Datadog | The Monitor blog

Monitor Claude Enterprise activity with Datadog Cloud SIEM

The Datadog Claude Compliance API integration enables security and compliance teams to monitor Claude Enterprise activity by ingesting and normalizing events such as sign-ins, admi…

Give your AI agents live Datadog access from the command line

Pup CLI is a single-binary tool that provides AI agents and automation pipelines with secure, OAuth-scoped access to over 33 Datadog product domains. It optimizes agent workflows t…

When failover isn’t safe: Building high-availability PostgreSQL on Kubernetes

During a simulated "gameday" failure, Datadog discovered that network latency caused PostgreSQL replication lag to exceed safety thresholds, preventing the system from safely promo…

Introducing Bits Agent Builder: Build agentic workflows for alert response and remediation

Datadog has launched Bits Agent Builder, a new tool that enables users to create custom, hosted AI agents capable of analyzing observability data and executing automated actions. B…

From single pull requests to full software packages: Detecting malicious code at scale

The article describes the expansion of BewAIre, an LLM-based security system, from analyzing pull requests to scanning entire dependency packages for malicious code. The updated sy…

Migrate to Azure Managed Redis with Datadog and Eden

To mitigate the risks of migrating from Azure Cache for Redis to Azure Managed Redis, the article proposes a strategy using Datadog and Eden. Datadog provides the observability nee…

How we cut Spark compute costs by 44% with agentic AI and Datadog Jobs Monitoring

To optimize a massive, high-cost Spark job, Datadog engineers developed an AI agent using Claude and Jobs Monitoring to bridge the gap between execution plans and application code.…

A deep dive into surfacing and fixing gaps in AWS data perimeter policies

This article examines the security gaps that arise when organizations rely on per-resource controls rather than organization-level policies to establish AWS data perimeters. Using …

How a unified data model improves feature flag rollout decisions

The article argues that fragmented, "stitched-together" tool stacks create significant operational friction and decision-making delays by forcing teams to navigate disconnected dat…

Monitor LLM routing with the Kubernetes Inference Extension

The Kubernetes Gateway API’s Inference Extension optimizes LLM serving by replacing generic HTTP load balancing with "inference-aware" routing that evaluates backend signals like K…

Monitor JavaScript framework routing with Datadog RUM

Datadog RUM now offers out-of-the-box integrations for modern frameworks like Next.js, Vue, and Angular to provide accurate, router-aware monitoring for single-page applications. B…

Unified observability for Alibaba Cloud with Datadog

The Datadog integration for Alibaba Cloud centralizes metrics, logs, and traces from various services—such as ECS, ACK, and ApsardaDB—into a single observability platform. This uni…