Datadog, Inc. (@datadoghq) / X

Datadog, Inc.

10.6K posts

Datadog, Inc.

@datadoghq

Datadog is the monitoring and security platform for cloud applications

New York

Joined March 2010

Affiliates Replies Media

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Datadog, Inc.
@datadoghq
Jun 24
NYC isn't just about Broadway and the Big Apple—it's also home to the largest observability and AI event. At #DASH2026, we introduced new product innovations to help teams scale, stay ahead, and conquer cloud complexity with autonomous operations. Watch the full video:
DASH 2026, featuring Bits Detection, Bits Evals, Federated Logs, and more | This Month in Datadog
From youtube.com
Datadog, Inc.
@datadoghq
Jul 9
When Stream Router hit the limits of its storage architecture, Datadog engineers rearchitected the service without disrupting live production traffic. The result? Operations went from an estimated 45 minutes to ~1 second. Read the full story: bit.ly/4bbdMds
Datadog, Inc.
@datadoghq
Jul 8
Delivering 100M+ parcels a year takes more than speed—it takes resilient systems. Posten Bring AS reduced critical incidents by 75% with unified observability across 250+ systems and 30 parcel terminals. Learn how they did it: bit.ly/43UI9kJ
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Datadog, Inc.
@datadoghq
Jul 8
AI adoption doesn't automatically mean higher developer productivity. In one randomized trial, developers thought AI made them 20% faster. It actually made them 19% slower. Learn about five common DevEx measurement pitfalls in the AI era—and how to avoid them:
Datadog, Inc.
@datadoghq
Jul 7
🎥 What's new at Datadog? On the heels of #DASH2026, learn how you can resolve reliability issues faster, automate your release cycle, and gain deeper visibility into agent behavior and user journeys. Plus, get a look at Patterns in Agent Observability, Bits Evals, and Datadog
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Datadog, Inc.
@datadoghq
Jul 7
➡️ 2,000+ services. ➡️ One platform. ➡️ Zero context-switching. @Sulamerica moved from fragmented observability to Datadog and cut GKE costs by 9%, reduced memory usage by 40%, and dropped image pull errors from hundreds to just 4. Read how: bit.ly/4aRIUPl
Datadog, Inc.
@datadoghq
Jul 7
Every minute spent gathering context slows incident resolution. New AI capabilities in Datadog Incident Response help responders diagnose root causes faster, get up to speed quickly, and automatically document bridge discussions. Learn more: bit.ly/4eGkSck
Datadog, Inc.
@datadoghq
Jul 6
What does it take to save $3M+ in idle compute costs? We rightsized 30,000+ Kubernetes deployments across 1,800+ services and cut idle compute costs by more than 50% in our first data center rollout. Learn how: bit.ly/3SFjoq5
Datadog, Inc.
@datadoghq
Jul 2
Gameday simulations exist to find problems before production does. Our exercises found that failover wasn't just risky—it was impossible. Here's how we rearchitected PostgreSQL on Kubernetes with synchronous replication and Patroni to fix that: bit.ly/4vzLLok
Datadog, Inc.
@datadoghq
Jul 2
Benchmarks shape what AI optimizes. If the benchmark doesn't reflect production, neither will the results. Our latest work on DODO uses production telemetry to build benchmarks that mirror real workloads, and it's already delivering 8%+ CPU savings in production. More on the
Datadog, Inc.
@datadoghq
Jul 1
How do you scale a mobile healthcare platform without losing sight of the patient experience? 🚑 DocGo replaced fragmented monitoring tools with Datadog, gaining end-to-end visibility across 80+ microservices, faster issue resolution, and the auto-capture analytics their product
Datadog, Inc.
@datadoghq
Jul 1
Datadog has acquired @AdaptiveML, a frontier AI startup that enables organizations to build, own, and deploy specialized AI agents and models using reinforcement learning, synthetic data, and production signals. Welcome to the Adaptive ML team! Learn more: bit.ly/4y0VOnI
Datadog, Inc.
@datadoghq
Jun 30
87% of organizations are running exploitable vulnerabilities in production. But most don't carry meaningful risk once context is applied. Join Datadog experts and security practitioners for a live discussion of findings from the 2026 State of DevSecOps Report to learn more.
Datadog, Inc.
@datadoghq
Jun 29
What does it take to detect malicious code across entire dependency packages? We built on BewAIre with two-stage evaluation and agentic investigation to tackle the problem, achieving 95.5% detection accuracy on confirmed malicious packages. Dive into the engineering behind it: