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Building smart agents with OpenAI’s Agents SDK is powerful—but hard to debug without visibility. Datadog’s native integration makes it easy to monitor usage, trace actions, and check output quality with almost no setup. Read more: dtdg.co/openai-agents-…

Datadog Code Security integrates directly into development workflows, enabling your team to quickly identify and fix real security risks—from code to production: dtdg.co/datadog-code-s…

Managing cloud storage at scale is hard—and expensive. Datadog Storage Monitoring gives you prefix-level visibility into usage, spots rarely accessed data, and helps you implement smarter lifecycle policies for AWS S3, GCS, and Azure Blob. Read more: dtdg.co/datadog-storag…

Datadog is joining @GoogleCloud’s Startup School: Agentic AI on June 25th. Register for our session to explore how to observe, troubleshoot, and optimize LLM-based apps using Datadog LLM Observability: goo.gle/startupschool-…

We just wrapped up an incredible AWS DC Summit! If you're in the public sector and focused on strengthening your cloud strategy, join Datadog's Virtual Workshop: Site Reliability Engineering for Public Sector IT Resilience, on June 24th at 2:00 PM ET. Gain hands-on experience

Exponential log growth doesn't have to mean exponential cost. Understand Flex query performance, identify slowdowns, and optimize compute usage so you can improve log query performance and dashboard responsiveness. Learn more in our blog: dtdg.co/flex-compute-u…

We engineered an internal system to keep user configuration updates lightning fast and reliable—across thousands of containers handling millions of logs per second. Learn how we built it: dtdg.co/scaling-config…

What happens when your shared database becomes a liability? At Datadog, we built the tools to fix ours—at scale. Here's how we're doing it: dtdg.co/unwinding-shar…

Data issues often show up after they break dashboards or AI features. With Datadog Data Observability (now in Preview), you can catch and fix them in real time before they cause downstream problems: datadoghq.com/blog/data-obse…

Join Datadog on July 29 at The Bar Car in NYC for The Future of Detection and Response: From Reactive to Proactive, a technical deep dive into modern threat detection strategies. Topics include: ➡️ Extracting high-value insights from log sources ➡️ Operationalizing OCSF for

Use Datadog Resource Policies to define standards for cloud configurations, assess compliance, and enforce best practices across your infrastructure — all from one unified platform. Learn more: dtdg.co/resource-polic…

Another incredible AWS Summit DC in the books! As a Diamond sponsor, Datadog was honored to engage with public sector leaders advancing the next generation of government IT. Conversations centered around reducing tool sprawl, streamlining hybrid infrastructure monitoring and

"[Datadog] has given us the kind of observability we didn’t have before in any other product that we used. We couldn’t live without it right now.” — Jon Lindeheim, Axis Communications Explore how Datadog helped Axis transform their serverless strategy. Read the full story here:

Datadog was built by engineers, for engineers. At #DASH2025, Datadog Co-founder & CEO Olivier Pomel opened the keynote with a clear message: observability, security and AI are converging. From infrastructure to AI Agents, the future of engineering requires one unified

At Datadog scale, forwarding logs reliably to thousands of unpredictable endpoints is no small feat. Here's how we designed a system that isolates failures, maintains throughput, and processes gigabytes of log data per second: dtdg.co/reliable-log-d…

We’re excited to share Datadog has ranked on the Forbes Global 2000 and Forbes Global 2000 United States Lists for 2025. This recognition reflects our innovation and R&D investment and comes after we unveiled new products and features across observability, security and AI. Read

Built a WebRTC app? Add real-time noise suppression—no servers, no lag. We've open-sourced dtln-rs: a fast, embeddable Rust+WASM library that denoises 1 second of audio in 33 ms on an M1 MacBook. Try it out: dtdg.co/noise-suppress…

Collecting and forwarding Azure platform logs typically involves significant manual effort. Datadog now automates this process, reducing operational overhead while providing reliable, scalable log collection across your Azure environment. Learn more: dtdg.co/azure-log-forw…

Deploying services more frequently significantly reduces the likelihood that they contain out-of-date dependencies. Learn more in our State of DevSecOps study: bit.ly/4lIuq83

Security data comes in different formats from a variety of sources, making it difficult to parse. Learn how the OCSF Common Data Model in Datadog Cloud SIEM normalizes logs in OCSF format to help you enhance threat detection and speed up investigations: dtdg.co/ocsf-model