This week, for #developers and their agents at Datadog
🍹 RUM SDKs shipped for C/C++, #Electron, and .NET MAUI. Desktop apps, games, embedded Linux, and cross-platform .NET mobile all get first-class coverage now. (h/t Quentin Sellem and Maël Lilensten)
📱 RUM Mobile Profiling is GA for iOS and Android: attaches real CPU profiles to slow launches and frozen screens, so you stop guessing which method is the problem. (h/t Arti Arutiunov)
🔐 Configure MCPs for your entire team: #claude admins configure the Datadog MCP once, then Datadog MCPs light-up for everyone (h/t Anthony Dagneaux and Aditya Balasubramanian)
🖼️ Multiplayer investigations: Canvas provides a collaborative workspace for resolving production issues by consolidating the investigation, telemetry, evidence, reasoning, and "next steps" in one place that updates live as people and agents work together. (h/t Reva Ranka)
🤝 Datadog Agent Observability is live on the Claude Marketplace (h/t Uday Tennety and Marlisa G.)
🧵 OpenLineage support means Jobs Monitoring can now watch any data processing job, not just the natively-supported ones. (h/t Ryan Warrier)
🌡️ The new Heatgrid widget makes comparing 10+ services, hosts, or regions actually readable. (h/t Lilia Ennouri)
✌️ Datadog Mobile now supports iPhone Duo. Unfold for expanded dashboards and incident timelines, fold to pick up right where you left off. (h/t Salim Bouhorma Mouffak)
Docs and release notes:
https://t.co/gZVkMtrn5E
@N2tOb9@datadoghq It’ll return a summary of what it found supporting evidence. You can prompt with any follow up questions that will pull from the agent’s trace and investigation.
Your agents got some new tools this week, and so did you: Bits AI in Claude Code and Codex, voice agent observability, smarter RUM retention, LLM eval coverage, and a whole lot more.
Here's what shipped at @datadoghq this week:
- Bits AI can now be called from Claude Code, Codex, or any custom agent: ask questions, trigger and steer investigations, and read the results without leaving your editor.
- AgentObs Voice: listen to your AI voice agent's conversations directly in Datadog, with ready-made audio and image evaluators.
- Synthetic Monitoring & Testing Overview page is live: see what's unhealthy and what's not tested, on one page.
- The EC2 Spot Instance Assessment Tool (Preview) analyzes every Auto Scaling Group to find which workloads can actually run on Spot. (@mauerbac, @astuyve)
- Bits Code now works with Bitbucket Cloud Premium: get a tested PR back in your own repo, no migrating to GitHub required. (@diamondbishop)
- Suggested RUM retention filters calibrate session retention using your own application's performance data.
- End User Device Monitoring is now GA: find and investigate device issues before a ticket gets filed.
- Remap environments from the UI (APM, Preview): rename, merge, or split env values with no code changes.
- Patterns in LLM Observability finds the gaps between your eval datasets and real production traffic.
- The documentation toolset in the Datadog MCP Server is GA: your agent can now search and cite https://t.co/GnVS1nUs7C directly (@amymzhou)
Plus, we're hiring for 2 roles in software delivery and AI.
Full write-up, docs, and links to everything we shipped ↓
https://t.co/hG7lWFagCL
You can now listen to your AI voice agent's conversations directly in Datadog Agent Observability. 🎙️
Replay conversations, catch interruptions, investigate latency, and break down audio vs. text token costs.
@datadoghq's Zach Groves demos it with @OpenAI + @twilio ↓
read the docs: https://t.co/QOOQBki8Bs
What if every code change could validate itself, from PR to production?
Join @datadoghq's @diamondbishop and Mike Leach on Nov 19 to explore automated release agents, intelligent PR reviewers, and the building blocks of a self-driving software factory.
save your spot: https://t.co/xQb06tYcN5
We’re seeing more teams build voice agents with @ElevenLabs for customer support, sales, healthcare, and more so we built voice support in Datadog Agent Observability.
You can listen to input and output audio directly in agent traces, alongside transcripts and tool calls to investigate pauses, interruptions, and unexpected responses.
Available in ddtrace 4.17.0.
Feature flags that require approvals can now run experiments too.
New in Datadog: Experiment Approvals.
Create an experiment, get it approved, run it, and roll out the winner.
See how it works ↓
read the @datadoghq docs: https://t.co/cAiRCduiX2
.@datadoghq gives JavaScript teams full visibility into real user sessions, Core Web Vitals, and frontend errors, all connected to backend traces. Platinum sponsor of JSNation US.
Start free: https://t.co/yNsMuM6R7n
Are you evaluating your AI agents against what users actually do in production?
Datadog Patterns helps uncover gaps in your evaluation datasets and recommends real production traces to improve coverage.
watch Patterns IRL 👇
read the @datadoghq docs: https://t.co/xPLwaTSe3R
Excited to announce the AWS EC2 Spot Assessment Tool! This was one of the larger projects I worked on at @datadoghq!! Makes it super easy to scan all your ASGs and see cost savings and spot potential.
looking to work with customers in our preview! Sign up below!!