Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Public · New York, US · 49 releases · 10 this month
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Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Users can now evaluate AI agents and compare model performance within the Datadog Agent Observability Playground using integrated Fireworks AI models.
Datadog is now available on the Claude Marketplace, providing visibility into Claude-powered AI applications.
Datadog AI Guard can now flag self-replicating prompt injections where an AI agent copies hidden instructions into files or email replies.
Datadog introduced the Infrastructure Basic tier, a lightweight monitoring option designed for lower-priority workloads to track host health and resource usage.
Datadog introduced Agent Observability to help engineers identify applications driving AI spend, prioritize savings, and validate cost changes against performance.
Datadog launched Scout 1.0, an AI model specialized for investigating production issues. Powering Bits AI, Scout 1.0 provides improved price-performance compared to general-purpose frontier models on target SRE scenarios.
Datadog released cross-cluster queries for Datadog BYOC Logs, enabling AI agents and engineering teams to search logs across regions and business units without centralizing log storage.
Datadog Incident Response is now available in FedRAMP High environments, allowing federal agencies to handle paging, incident coordination, and automated response workflows for sensitive workloads.
Datadog Code Security now supports Supply Chain Firewall, providing centralized management of package allowlists and blocklists. It also includes retroactive scanning of installed packages to block malicious dependencies.
Datadog expanded Real User Monitoring (RUM) and Product Analytics support to Shopify and Salesforce Experience Cloud, allowing teams to monitor customer checkout journeys and user experiences.
Datadog introduced RUM Remote Configuration, allowing teams to adjust RUM SDK sampling rates, privacy settings, and data collection options without releasing new application builds.
Use the Code Execution toolset in the Datadog MCP Server to help AI agents run multisignal investigations with fewer tool calls and less model context.
Use Journey Paths in Datadog Product Analytics to quantify how users convert, investigate drop-offs, and find friction between funnel steps.
Create, test, and publish custom IaC Security rules in Datadog to detect organization-specific policy violations before deployment.
Use Bits Chat in Slack to investigate incidents, collaborate with responders, make code fixes, and capture follow-up work where your team communicates.
Analyze Cursor spend by user and model, catch unexpected cost changes, and manage AI coding costs alongside your cloud and SaaS spend.
Learn how the Datadog Experiments OpenAI Data plugin lets your team read, question, and act on experiment results directly in ChatGPT.
Learn how Kafka Console helps you identify Kafka issues, inspect messages, and tune configurations with infrastructure and app context.
When a runtime threat appears, every step costs time. Datadog Workload Protection can now kill processes and isolate workloads with automated and manual response actions.
Build, debug, and run Datadog workflows from Bits Chat and AI coding agents using the operational and development context where you’re working.
Connect Bitbucket Cloud to Datadog to troubleshoot with source code in context and surface test, quality, and security feedback in pull requests.
Trace requests, get enhanced CPU metrics, and profile code across Azure Functions hosting plans with Datadog Serverless Monitoring.
Datadog Code Security’s AI-native SAST helps detect vulnerabilities specific to the OWASP Top 10 for LLM Applications before they reach production.
Learn how Datadog Work Management helps you coordinate human and AI agent–driven work while preserving context, ownership, and activity across tools.
Learn how secretless authentication for Datadog’s Azure integration helps prevent telemetry interruptions that result from expired client secrets.
Learn how Product Analytics account segments combine business context and product behavior to identify accounts that may be at risk of churn.
Use Datadog agentic onboarding to instrument AWS Lambda, Google Cloud Run, and Azure Container Apps from an AI assistant or CLI.
See how Datadog Session Replay unites session discovery, AI analysis, and team collaboration in a single workspace.
Learn how the Datadog Runtime Prioritization Engine infers ownership and identifies business-critical resources to help you prioritize security findings.
Learn how to provision Datadog on Stripe Projects, start a 14-day free trial, and manage billing through your existing Stripe account.
Use the Cloud Cost skill in Bits Chat to investigate cost anomalies, perform root cause analysis on cost spikes, and get personalized savings.
Use the Datadog .NET MAUI SDK to monitor crashes, errors, ANR events, network performance, and user sessions across iOS and Android apps.
Monitor crashes, errors, and user sessions on watchOS and visionOS by using Datadog RUM with fully deobfuscated stack traces and no separate SDK required.
Investigate incidents with Bits Investigation as a fellow responder, receive AI-generated summaries in chat, and capture critical decisions made on bridge calls.
Route high-volume CDN logs to low-cost object storage with Observability Pipelines and search them with Archive Search, without a second tool.
| Release-notes page | Site | Feed |
|---|---|---|
| Datadog API client (Python) releases github.com | github.com | RSS |
| Datadog Operator releases github.com | github.com | RSS |
| datadog-ci releases github.com | github.com | RSS |
| Agent releases github.com | github.com | None |
| BYOC Logs release notes docs.datadoghq.com | docs.datadoghq.com | None |
| dd-trace-js releases github.com | github.com | RSS |
| dd-trace-py releases github.com | github.com | RSS |
| Terraform provider releases github.com | github.com | RSS |