Make your case to attend

DASH, Datadog’s annual conference, is happening on June 09–10 in New York City, and I’d like to attend. The event is packed with hands-on learning sessions that directly support our development workflows and can help increase productivity, and shipping higher-quality, more secure products faster.

How DASH Can Benefit Our Team

Faster debugging and issue resolution: I’ll learn best practices for log analysis, distributed tracing, real-user monitoring, and frontend error tracking to shorten the time from detection to fix.

Real-world engineering insights: Sessions will show firsthand how leading teams use observability to streamline CI/CD pipelines, improve application performance, and ship more reliable software.

Hands-on technical deep dives: I plan to attend live demos, developer workshops, and Datadog product learning sessions to strengthen my debugging and optimization skills using real production patterns.

AI-aware developer workflows: This year, Datadog is introducing new AI-powered developer tooling—including agentic debugging support and code fixes, MCP integration, and tooling that correlates code, telemetry, and runtime behavior for a comprehensive understanding of our SDLC. Understanding these capabilities will help us evaluate how they can accelerate our development cycle or reduce time spent diagnosing and fixing issues.

My Focus Areas for The Event

I will prioritize sessions and workshops that support our key initiatives:

• [Add project or initiative]
• [Add project or initiative]

I’ll also have the opportunity to meet with Datadog’s Product and Engineering teams to explore new features and ensure we’re getting the most value from our existing setup. DASH will give me practical strategies to improve and accelerate our delivery, run better tests, and optimize CI/CD pipeline—ultimately helping our team ship higher-quality software faster.