Datadog

Log volume is growing faster than the budget to store it. Join Datadog and Google Cloud engineers on October 8th to see how teams are evolving from reactive logging to AI-powered operations — centralizing visibility across distributed systems, shortening investigations with natural language workflows, and keeping costs in check without losing the data they need. Register here: https://bit.ly/4yS2Bjm

Anyone can build an app with AI. Shipping it securely where your teams already work is the hard part. Datadog Apps is now in Preview. Build with your preferred AI coding agent and run it natively in Datadog with built-in security, governance, and observability. Just ship it. In Datadog. https://lnkd.in/eWtjJ867

AI agents can now investigate smarter — and spend less doing it. Today at #DatadogSummit San Francisco, we announced the GA of Code Execution for the Datadog MCP Server: more accurate answers with 73% fewer input tokens and 40% fewer tool calls. See how it works: https://bit.ly/4jjEsxA

Writing a regex shouldn't be the price of admission to your own logs. With Tap to Parse, you select a log message and get structured, searchable fields in one click — no regex, no waiting on the one person who knows the syntax. It works at query time in Log Explorer, at ingestion in Log Pipelines, and before logs leave your environment in Observability Pipelines. Read our blog to learn more: https://bit.ly/4yMKf39

Over four years ago, Natalie joined Datadog looking to step deeper into the tech space. Today, she is a Senior Enterprise Customer Success Manager in Sydney. Her work starts with understanding what customers want to achieve. From there, she connects their priorities with teams across Datadog, drives adoption, and helps turn progress into measurable outcomes. As the product and Customer Success function have grown, Natalie has found new opportunities to learn and shape her role. Take a look at Natalie’s story. Explore open roles at Datadog: https://bit.ly/4hwauFg #DatadogLife

Tomorrow ‼️ Join the livestream for Datadog On Air, a podcast showcasing engineering innovation and excellence to a global technical audience. This episode takes place LIVE from #DatadogSummit San Francisco, featuring conversations with the customers, engineers, and leaders shaping how AI gets built and run in production.

The Archives. Black Friday. Singles’ Day. Every retailer's biggest moment looks different, but the preparation behind it doesn’t. Over the next few weeks, we’ll follow the peak season cycle from preparation through improvement, sharing lessons from retail teams along the way. Explore what it takes to prepare, protect, and optimize every customer journey: https://bit.ly/4rhxtr7 What does peak season preparation look like for your team?

Last chance to join us for #DatadogSummit San Francisco! ✨ Don't miss the opportunity to attend an exclusive chat featuring: 🌉 Alexander Embiricos (Product Lead for OpenAI Codex) and Yanbing Li (Chief Product Officer, Datadog) on how AI is expanding what engineers can build and how product leaders harness this technology without losing control, judgment, or quality. Save your seat for a full day of hands-on workshops and technical learning with the Bay Area tech community: https://bit.ly/4i80KSi

⬇️ 30 minutes → 10 seconds to roll back ✅ 288 API endpoints migrated with zero user-visible issues 🤖 AI features shipped behind the same safety net Tapple, one of Japan's leading dating apps, rebuilt an 11-year-old monolith without slowing down. See how they did it with Datadog Feature Flags: https://bit.ly/4iBGiJV

Danny Perschonok, VP of Cloud, Data, & Security Services at Experian Consumer Services, has spent more than a decade building an observability strategy that evolves alongside the business. What began with infrastructure monitoring has grown into a unified platform spanning APM, Real User Monitoring, cloud cost management, Agent Observability, and logs. By bringing telemetry together in one place, Experian has reduced operational complexity, improved visibility, and given teams the context they need to solve problems faster. One milestone illustrates that transformation. The team migrated more than 3,000 legacy log-based alerts into telemetry-driven signals and modernized over 100 dashboards, reducing log costs while preserving the visibility engineering teams depend on. Today, that unified foundation is helping Experian confidently launch AI experiences like EVA while enabling Bits AI and SRE Investigations to surface richer insights across the entire platform. Discover how other customers are transforming their businesses with Datadog: https://bit.ly/4jr5Oim