Junaid Ahmed

Continuing on the journey of providing more specialized observability capabilities, we are excited to partner with you on your LLM workloads. Check out the details in yet another DASH demo : youtube.com/watch?v=GjcLWu…

The production context will significantly accelerate the closing of the loop with agentic development. We're hiring strong ML and systems engineers to build on this, reach out if it sounds like your kind of problem. The link to our paper is in the first comment.

The weak link in LLM-driven code optimization isn't the optimizer — it's the benchmark. Tune against synthetic workloads and you tune for synthetic distributions, not production ones.

Next, we're extending production grounding across the developer lifecycle: profilers and live debuggers as validation signals, production traffic seeding tests, and post-release telemetry driving service hardening and user-journey analysis.

Against eight hot paths in a mature metrics-intake service, per-target speedups landed between 4% and 82%; three optimizations have shipped, together cutting over 8% of total service CPU.

In DODO (presented at the SAO workshop at CAIS 2026), we close that gap by grounding Go micro-benchmarks in live Datadog telemetry — CPU profiles and real invocations from Continuous Profiler and Live Debugger, then letting a simple LLM optimizer iterate against them.

We have just scratched the surface on the possibilities here. Not only will monitoring be vital, but also self learning and improvement of your coding sessions. Happy to see this go out and excited on the roadmap coming soon! datadoghq.com/blog/claude-co…

Just wrapped up DASH and it was a pleasure introducing our latest LLM offerings at the keynote. Thrilled to see the excitement from our customers and partners! More details to follow. datadoghq.com/about/latest-n…

At DASH, we announced how continuous profiling is helping our customers get relevant cost optimization recommendations. Profiling is now becoming a main stream use-case and not just an expert tool. Learn more here : youtu.be/GjcLWupY0jk?t=…

Had a fantastic re:Invent meeting customers and presenting about the latest innovations in low effort instrumentation. youtu.be/2PpBiCstUKM?t=… CC : @linuxquestions

Attending @AWSreInvent? Check out our session today with our VP of Engineering, Junaid Ahmed, where he will showcase how organizations can improve the performance of their most critical software systems. dtdg.co/micro-aws-rein…

Don’t miss our session “Observability in the real world: Improve your systems with an iterative approach” at #reInvent! Check out our session scheduler here: dtdg.co/session-schedu…

Are you attending re:Invent next week ? I would be thrilled to hear your feedback in this session about the latest innovations lowering barrier of entry for achieving comprehensive observability solutions. @datadoghq @awscloud @AWSreInvent datadoghq.com/event/micro-aw…

Who does not have battle scars catching up work from distributed queues, frantically trying to prevent downtime during challenging incidents ? Managing queues will never be the same : Data Stream Monitoring. youtube.com/watch?v=Uv1hks…

Instrument code live in production Capture state and metrics without a restart Works with third party code Super proud of the team for launching the Dynamic Instrumentation Beta at Dash! youtube.com/watch?v=Uv1hks…

@datadoghq has been named a Leader in the 2022 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability! To learn more download a complimentary copy of the report datadoghq.com/blog/datadog-a…